Serialized Form (wekaDeeplearning4j 1.7.2 API)

Package weka.classifiers.functions
- Class weka.classifiers.functions.Dl4jMlpClassifier extends weka.classifiers.RandomizableClassifier implements Serializable
  
  serialVersionUID:
  
  -6363254116597574265L
  - Serialization Methods
    - readObject
```
private void readObject(java.io.ObjectInputStream ois)
                 throws java.lang.ClassNotFoundException,
                        java.io.IOException
```
      Custom deserialization method
      
      Throws:
      
      java.lang.ClassNotFoundException
      
      java.io.IOException
    - writeObject
```
private void writeObject(java.io.ObjectOutputStream oos)
                  throws java.io.IOException
```
      Custom serialization method.
      
      Throws:
      
      java.io.IOException
  - Serialized Fields
    - replaceMissingFilter
```
weka.filters.unsupervised.attribute.ReplaceMissingValues replaceMissingFilter
```
      Filter used to replace missing values.
    - filter
```
weka.filters.Filter filter
```
      Filter used to normalize or standardize the data.
    - nominalToBinaryFilter
```
weka.filters.unsupervised.attribute.NominalToBinary nominalToBinaryFilter
```
      Filter used to convert nominal attributes to binary numeric attributes.
    - zeroR
```
weka.classifiers.rules.ZeroR zeroR
```
      ZeroR classifier, just in case we don't actually have any data to train a network.
    - zooModel
```
AbstractZooModel zooModel
```
      The model zoo model.
    - filterMode
```
boolean filterMode
```
      True if using the model for feature extraction.
    - modelSize
```
long modelSize
```
      The size of the serialized network model in bytes.
    - netConfig
```
NeuralNetConfiguration netConfig
```
      The configuration of the network.
    - earlyStopping
```
EarlyStopping earlyStopping
```
      The configuration for early stopping.
    - numEpochs
```
int numEpochs
```
      The number of epochs to perform.
    - maxEpochs
```
int maxEpochs
```
      The current upper bound for the number of epochs.
    - numEpochsPerformed
```
int numEpochsPerformed
```
      The total number of epochs that have been performed.
    - numEpochsPerformedThisSession
```
int numEpochsPerformedThisSession
```
      The number of epochs performed in this session of iterating.
    - trainData
```
weka.core.Instances trainData
```
      The training instances (set to null when done() is called).
    - instanceIterator
```
AbstractInstanceIterator instanceIterator
```
      The instance iterator to use.
    - queueSize
```
int queueSize
```
      Queue size for AsyncDataSetIterator (if < 1, AsyncDataSetIterator is not used).
    - filterType
```
int filterType
```
      Whether to normalize/standardize/neither.
    - x0
```
double x0
```
      Coefficient x0 used for normalizing the class.
    - x1
```
double x1
```
      Coefficient x1 used for normalizing the class.
    - cacheMode
```
CacheMode cacheMode
```
      Caching mode to use for loading data.
    - iterationListener
```
TrainingListener iterationListener
```
      Training listener list.
    - isInitializationFinished
```
boolean isInitializationFinished
```
      Flag indicating if initialization is finished.
    - labelSortIndex
```
int[] labelSortIndex
```
      List of indices to store the label order.
    - logConfig
```
LogConfiguration logConfig
```
      Logging configuration.
    - resume
```
boolean resume
```
      Whether to allow training to continue at a later point after the initial model is built.
    - doNotClearFilesystemCache
```
boolean doNotClearFilesystemCache
```
      Whether to leave the filesystem data cache intact (if using FILESYSTEM caching) when starting or resuming learning.
    - loadLayerSpecification
```
boolean loadLayerSpecification
```
      Only useful in the GUI - if set to true, the GUI will load the layer specification of the currently selected zoo model. This is off by default as it slows the GUI down considerably.
    - numGPUs
```
int numGPUs
```
      Number of physical GPUs available. If greater than 1, then data-parallel training + parameter averaging is used to leverage multiple GPUs. Ignored entirely if there is no GPU backend available.
    - prefetchBufferSize
```
int prefetchBufferSize
```
      Size of the prefetch buffer when leveraging multiple GPUs. Ignored if there is only one GPU, or there is no GPU backend available.
    - averagingFrequency
```
int averagingFrequency
```
      How often (in iterations, not epochs) to average model parameters when leveraging multiple GPUs. Ignored if there is only one GPU, or if there is no GPU backend available.
    - gpuBackendAvailable
```
boolean gpuBackendAvailable
```
      True if the Cuda/GPU backend is available.
    - layerSwingWorker
```
javax.swing.SwingWorker<T,V> layerSwingWorker
```
      Worker for parsing layer names.
- Class weka.classifiers.functions.GaussianProcesses extends weka.classifiers.RandomizableClassifier implements Serializable
  
  serialVersionUID:
  
  -8620066949967678545L
  - Serialized Fields
    - m_NominalToBinary
```
weka.filters.unsupervised.attribute.NominalToBinary m_NominalToBinary
```
    - m_Filter
```
weka.filters.Filter m_Filter
```
    - m_filterType
```
int m_filterType
```
    - m_Missing
```
weka.filters.unsupervised.attribute.ReplaceMissingValues m_Missing
```
    - m_checksTurnedOff
```
boolean m_checksTurnedOff
```
    - m_delta
```
double m_delta
```
    - m_deltaSquared
```
double m_deltaSquared
```
    - m_Alin
```
double m_Alin
```
    - m_Blin
```
double m_Blin
```
    - m_kernel
```
weka.classifiers.functions.supportVector.Kernel m_kernel
```
    - m_actualKernel
```
weka.classifiers.functions.supportVector.Kernel m_actualKernel
```
    - m_NumTrain
```
int m_NumTrain
```
    - m_avg_target
```
double m_avg_target
```
    - m_L
```
no.uib.cipr.matrix.Matrix m_L
```
    - m_t
```
no.uib.cipr.matrix.Vector m_t
```
    - m_weights
```
double[] m_weights
```
- Class weka.classifiers.functions.LinearRegression extends weka.classifiers.AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  -3364580862046573747L
  - Serialized Fields
    - m_Coefficients
```
double[] m_Coefficients
```
    - m_SelectedAttributes
```
boolean[] m_SelectedAttributes
```
    - m_TransformedData
```
weka.core.Instances m_TransformedData
```
    - m_MissingFilter
```
weka.filters.unsupervised.attribute.ReplaceMissingValues m_MissingFilter
```
    - m_TransformFilter
```
weka.filters.supervised.attribute.NominalToBinary m_TransformFilter
```
    - m_ClassStdDev
```
double m_ClassStdDev
```
    - m_ClassMean
```
double m_ClassMean
```
    - m_ClassIndex
```
int m_ClassIndex
```
    - m_Means
```
double[] m_Means
```
    - m_StdDevs
```
double[] m_StdDevs
```
    - m_outputAdditionalStats
```
boolean m_outputAdditionalStats
```
    - m_AttributeSelection
```
int m_AttributeSelection
```
    - m_EliminateColinearAttributes
```
boolean m_EliminateColinearAttributes
```
    - m_checksTurnedOff
```
boolean m_checksTurnedOff
```
    - m_useQRDecomposition
```
boolean m_useQRDecomposition
```
    - m_Ridge
```
double m_Ridge
```
    - m_Minimal
```
boolean m_Minimal
```
    - m_ModelBuilt
```
boolean m_ModelBuilt
```
    - m_isZeroR
```
boolean m_isZeroR
```
    - m_df
```
int m_df
```
    - m_RSquared
```
double m_RSquared
```
    - m_RSquaredAdj
```
double m_RSquaredAdj
```
    - m_FStat
```
double m_FStat
```
    - m_StdErrorOfCoef
```
double[] m_StdErrorOfCoef
```
    - m_TStats
```
double[] m_TStats
```
- Class weka.classifiers.functions.Logistic extends weka.classifiers.AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  3932117032546553727L
  - Serialized Fields
    - m_Par
```
double[][] m_Par
```
    - m_Data
```
double[][] m_Data
```
    - m_NumPredictors
```
int m_NumPredictors
```
    - m_ClassIndex
```
int m_ClassIndex
```
    - m_NumClasses
```
int m_NumClasses
```
    - m_Ridge
```
double m_Ridge
```
    - m_AttFilter
```
weka.filters.unsupervised.attribute.RemoveUseless m_AttFilter
```
    - m_NominalToBinary
```
weka.filters.unsupervised.attribute.NominalToBinary m_NominalToBinary
```
    - m_ReplaceMissingValues
```
weka.filters.unsupervised.attribute.ReplaceMissingValues m_ReplaceMissingValues
```
    - m_LL
```
double m_LL
```
    - m_MaxIts
```
int m_MaxIts
```
    - m_useConjugateGradientDescent
```
boolean m_useConjugateGradientDescent
```
    - m_structure
```
weka.core.Instances m_structure
```
    - m_numModels
```
int m_numModels
```
- Class weka.classifiers.functions.MultilayerPerceptron extends weka.classifiers.AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  -5990607817048210779L
  - Serialized Fields
    - m_ZeroR
```
weka.classifiers.Classifier m_ZeroR
```
    - m_useDefaultModel
```
boolean m_useDefaultModel
```
    - m_instances
```
weka.core.Instances m_instances
```
    - m_currentInstance
```
weka.core.Instance m_currentInstance
```
    - m_numeric
```
boolean m_numeric
```
    - m_attributeRanges
```
double[] m_attributeRanges
```
    - m_attributeBases
```
double[] m_attributeBases
```
    - m_outputs
```
weka.classifiers.functions.MultilayerPerceptron.NeuralEnd[] m_outputs
```
    - m_inputs
```
weka.classifiers.functions.MultilayerPerceptron.NeuralEnd[] m_inputs
```
    - m_neuralNodes
```
weka.classifiers.functions.neural.NeuralConnection[] m_neuralNodes
```
    - m_numClasses
```
int m_numClasses
```
    - m_numAttributes
```
int m_numAttributes
```
    - m_nodePanel
```
weka.classifiers.functions.MultilayerPerceptron.NodePanel m_nodePanel
```
    - m_controlPanel
```
weka.classifiers.functions.MultilayerPerceptron.ControlPanel m_controlPanel
```
    - m_nextId
```
int m_nextId
```
    - m_selected
```
java.util.ArrayList<E> m_selected
```
    - m_numEpochs
```
int m_numEpochs
```
    - m_stopIt
```
boolean m_stopIt
```
    - m_stopped
```
boolean m_stopped
```
    - m_accepted
```
boolean m_accepted
```
    - m_win
```
javax.swing.JFrame m_win
```
    - m_autoBuild
```
boolean m_autoBuild
```
    - m_gui
```
boolean m_gui
```
    - m_valSize
```
int m_valSize
```
    - m_driftThreshold
```
int m_driftThreshold
```
    - m_randomSeed
```
int m_randomSeed
```
    - m_random
```
java.util.Random m_random
```
    - m_useNomToBin
```
boolean m_useNomToBin
```
    - m_nominalToBinaryFilter
```
weka.filters.unsupervised.attribute.NominalToBinary m_nominalToBinaryFilter
```
    - m_hiddenLayers
```
java.lang.String m_hiddenLayers
```
    - m_normalizeAttributes
```
boolean m_normalizeAttributes
```
    - m_decay
```
boolean m_decay
```
    - m_learningRate
```
double m_learningRate
```
    - m_momentum
```
double m_momentum
```
    - m_epoch
```
int m_epoch
```
    - m_numItsPerformed
```
int m_numItsPerformed
```
    - m_error
```
double m_error
```
    - m_reset
```
boolean m_reset
```
    - m_normalizeClass
```
boolean m_normalizeClass
```
    - m_sigmoidUnit
```
weka.classifiers.functions.neural.SigmoidUnit m_sigmoidUnit
```
    - m_linearUnit
```
weka.classifiers.functions.neural.LinearUnit m_linearUnit
```
    - m_resume
```
boolean m_resume
```
    - valSet
```
weka.core.Instances valSet
```
    - numInVal
```
int numInVal
```
    - totalWeight
```
double totalWeight
```
    - totalValWeight
```
double totalValWeight
```
    - driftOff
```
double driftOff
```
    - lastRight
```
double lastRight
```
    - bestError
```
double bestError
```
    - originalFormatData
```
weka.core.Instances originalFormatData
```
- Class weka.classifiers.functions.MultilayerPerceptron.NeuralEnd extends weka.classifiers.functions.neural.NeuralConnection implements Serializable
  
  serialVersionUID:
  
  7305185603191183338L
  - Serialized Fields
    - m_link
```
int m_link
```
    - m_input
```
boolean m_input
```
- Class weka.classifiers.functions.RnnSequenceClassifier extends Dl4jMlpClassifier implements Serializable
  
  serialVersionUID:
  
  5643486590174837865L
  - Serialized Fields
    - tBPTTbackwardLength
```
int tBPTTbackwardLength
```
      Truncated backpropagation through time backward length
    - tBPTTforwardLength
```
int tBPTTforwardLength
```
      Truncated backpropagation through time forward length
- Class weka.classifiers.functions.SGD extends weka.classifiers.RandomizableClassifier implements Serializable
  
  serialVersionUID:
  
  -3732968666673530290L
  - Serialized Fields
    - m_replaceMissing
```
weka.filters.unsupervised.attribute.ReplaceMissingValues m_replaceMissing
```
    - m_nominalToBinary
```
weka.filters.Filter m_nominalToBinary
```
    - m_normalize
```
weka.filters.unsupervised.attribute.Normalize m_normalize
```
    - m_lambda
```
double m_lambda
```
    - m_learningRate
```
double m_learningRate
```
    - m_weights
```
double[] m_weights
```
    - m_epsilon
```
double m_epsilon
```
    - m_t
```
double m_t
```
    - m_numInstances
```
double m_numInstances
```
    - m_epochs
```
int m_epochs
```
    - m_dontNormalize
```
boolean m_dontNormalize
```
    - m_dontReplaceMissing
```
boolean m_dontReplaceMissing
```
    - m_data
```
weka.core.Instances m_data
```
    - m_loss
```
int m_loss
```
    - m_numModels
```
int m_numModels
```
- Class weka.classifiers.functions.SGDText extends weka.classifiers.RandomizableClassifier implements Serializable
  
  serialVersionUID:
  
  7200171484002029584L
  - Serialized Fields
    - m_periodicP
```
int m_periodicP
```
    - m_minWordP
```
double m_minWordP
```
    - m_minAbsCoefficient
```
double m_minAbsCoefficient
```
    - m_wordFrequencies
```
boolean m_wordFrequencies
```
    - m_normalize
```
boolean m_normalize
```
    - m_norm
```
double m_norm
```
    - m_lnorm
```
double m_lnorm
```
    - m_dictionary
```
java.util.LinkedHashMap<K,V> m_dictionary
```
    - m_StopwordsHandler
```
weka.core.stopwords.StopwordsHandler m_StopwordsHandler
```
    - m_tokenizer
```
weka.core.tokenizers.Tokenizer m_tokenizer
```
    - m_lowercaseTokens
```
boolean m_lowercaseTokens
```
    - m_stemmer
```
weka.core.stemmers.Stemmer m_stemmer
```
    - m_lambda
```
double m_lambda
```
    - m_learningRate
```
double m_learningRate
```
    - m_t
```
double m_t
```
    - m_bias
```
double m_bias
```
    - m_numInstances
```
double m_numInstances
```
    - m_data
```
weka.core.Instances m_data
```
    - m_epochs
```
int m_epochs
```
    - m_loss
```
int m_loss
```
    - m_svmProbs
```
weka.classifiers.functions.SGD m_svmProbs
```
    - m_fitLogistic
```
boolean m_fitLogistic
```
    - m_fitLogisticStructure
```
weka.core.Instances m_fitLogisticStructure
```
    - m_numModels
```
int m_numModels
```
- Class weka.classifiers.functions.SGDText.Count extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  2104201532017340967L
  - Serialized Fields
    - m_count
```
double m_count
```
    - m_weight
```
double m_weight
```
- Class weka.classifiers.functions.SimpleLinearRegression extends weka.classifiers.AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1679336022895414137L
  - Serialized Fields
    - m_attribute
```
weka.core.Attribute m_attribute
```
    - m_attributeIndex
```
int m_attributeIndex
```
    - m_slope
```
double m_slope
```
    - m_intercept
```
double m_intercept
```
    - m_classMeanForMissing
```
double m_classMeanForMissing
```
    - m_outputAdditionalStats
```
boolean m_outputAdditionalStats
```
    - m_df
```
int m_df
```
    - m_seSlope
```
double m_seSlope
```
    - m_seIntercept
```
double m_seIntercept
```
    - m_tstatSlope
```
double m_tstatSlope
```
    - m_tstatIntercept
```
double m_tstatIntercept
```
    - m_rsquared
```
double m_rsquared
```
    - m_rsquaredAdj
```
double m_rsquaredAdj
```
    - m_fstat
```
double m_fstat
```
    - m_suppressErrorMessage
```
boolean m_suppressErrorMessage
```
- Class weka.classifiers.functions.SimpleLogistic extends weka.classifiers.AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  7397710626304705059L
  - Serialized Fields
    - m_boostedModel
```
weka.classifiers.trees.lmt.LogisticBase m_boostedModel
```
    - m_NominalToBinary
```
weka.filters.unsupervised.attribute.NominalToBinary m_NominalToBinary
```
    - m_ReplaceMissingValues
```
weka.filters.unsupervised.attribute.ReplaceMissingValues m_ReplaceMissingValues
```
    - m_numBoostingIterations
```
int m_numBoostingIterations
```
    - m_maxBoostingIterations
```
int m_maxBoostingIterations
```
    - m_heuristicStop
```
int m_heuristicStop
```
    - m_useCrossValidation
```
boolean m_useCrossValidation
```
    - m_errorOnProbabilities
```
boolean m_errorOnProbabilities
```
    - m_weightTrimBeta
```
double m_weightTrimBeta
```
    - m_useAIC
```
boolean m_useAIC
```
- Class weka.classifiers.functions.SMO extends weka.classifiers.AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  -6585883636378691736L
  - Serialized Fields
    - m_classifiers
```
weka.classifiers.functions.SMO.BinarySMO[][] m_classifiers
```
    - m_C
```
double m_C
```
    - m_eps
```
double m_eps
```
    - m_tol
```
double m_tol
```
    - m_filterType
```
int m_filterType
```
    - m_NominalToBinary
```
weka.filters.unsupervised.attribute.NominalToBinary m_NominalToBinary
```
    - m_Filter
```
weka.filters.Filter m_Filter
```
    - m_Missing
```
weka.filters.unsupervised.attribute.ReplaceMissingValues m_Missing
```
    - m_classIndex
```
int m_classIndex
```
    - m_classAttribute
```
weka.core.Attribute m_classAttribute
```
    - m_KernelIsLinear
```
boolean m_KernelIsLinear
```
    - m_checksTurnedOff
```
boolean m_checksTurnedOff
```
    - m_fitCalibratorModels
```
boolean m_fitCalibratorModels
```
    - m_calibrator
```
weka.classifiers.Classifier m_calibrator
```
    - m_numFolds
```
int m_numFolds
```
    - m_randomSeed
```
int m_randomSeed
```
    - m_kernel
```
weka.classifiers.functions.supportVector.Kernel m_kernel
```
- Class weka.classifiers.functions.SMO.BinarySMO extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -8246163625699362456L
  - Serialized Fields
    - m_alpha
```
double[] m_alpha
```
    - m_b
```
double m_b
```
    - m_bLow
```
double m_bLow
```
    - m_bUp
```
double m_bUp
```
    - m_iLow
```
int m_iLow
```
    - m_iUp
```
int m_iUp
```
    - m_data
```
weka.core.Instances m_data
```
    - m_weights
```
double[] m_weights
```
    - m_sparseWeights
```
double[] m_sparseWeights
```
    - m_sparseIndices
```
int[] m_sparseIndices
```
    - m_kernel
```
weka.classifiers.functions.supportVector.Kernel m_kernel
```
    - m_class
```
double[] m_class
```
    - m_errors
```
double[] m_errors
```
    - m_I0
```
weka.classifiers.functions.supportVector.SMOset m_I0
```
    - m_I1
```
weka.classifiers.functions.supportVector.SMOset m_I1
```
    - m_I2
```
weka.classifiers.functions.supportVector.SMOset m_I2
```
    - m_I3
```
weka.classifiers.functions.supportVector.SMOset m_I3
```
    - m_I4
```
weka.classifiers.functions.supportVector.SMOset m_I4
```
    - m_supportVectors
```
weka.classifiers.functions.supportVector.SMOset m_supportVectors
```
    - m_calibrator
```
weka.classifiers.Classifier m_calibrator
```
    - m_calibrationDataHeader
```
weka.core.Instances m_calibrationDataHeader
```
    - m_sumOfWeights
```
double m_sumOfWeights
```
    - m_nEvals
```
long m_nEvals
```
    - m_nCacheHits
```
int m_nCacheHits
```
- Class weka.classifiers.functions.SMOreg extends weka.classifiers.AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  -7149606251113102827L
  - Serialized Fields
    - m_filterType
```
int m_filterType
```
    - m_NominalToBinary
```
weka.filters.unsupervised.attribute.NominalToBinary m_NominalToBinary
```
    - m_Filter
```
weka.filters.Filter m_Filter
```
    - m_Missing
```
weka.filters.unsupervised.attribute.ReplaceMissingValues m_Missing
```
    - m_onlyNumeric
```
boolean m_onlyNumeric
```
    - m_C
```
double m_C
```
    - m_x1
```
double m_x1
```
    - m_x0
```
double m_x0
```
    - m_optimizer
```
weka.classifiers.functions.supportVector.RegOptimizer m_optimizer
```
    - m_kernel
```
weka.classifiers.functions.supportVector.Kernel m_kernel
```
- Class weka.classifiers.functions.VotedPerceptron extends weka.classifiers.AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  -1072429260104568698L
  - Serialized Fields
    - m_MaxK
```
int m_MaxK
```
    - m_NumIterations
```
int m_NumIterations
```
    - m_Exponent
```
double m_Exponent
```
    - m_K
```
int m_K
```
    - m_Additions
```
int[] m_Additions
```
    - m_IsAddition
```
boolean[] m_IsAddition
```
    - m_Weights
```
int[] m_Weights
```
    - m_Train
```
weka.core.Instances m_Train
```
    - m_Seed
```
int m_Seed
```
    - m_NominalToBinary
```
weka.filters.unsupervised.attribute.NominalToBinary m_NominalToBinary
```
    - m_ReplaceMissingValues
```
weka.filters.unsupervised.attribute.ReplaceMissingValues m_ReplaceMissingValues
```
Package weka.core
- Class weka.core.AbstractInstance extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1482635194499365155L
  - Serialized Fields
    - m_Dataset
```
weka.core.Instances m_Dataset
```
    - m_AttValues
```
double[] m_AttValues
```
    - m_Weight
```
double m_Weight
```
- Class weka.core.AlgVector extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -4023736016850256591L
  - Serialized Fields
    - m_Elements
```
double[] m_Elements
```
- Class weka.core.Attribute extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -742180568732916383L
  - Serialized Fields
    - m_Name
```
java.lang.String m_Name
```
    - m_Type
```
int m_Type
```
    - m_AttributeInfo
```
weka.core.AttributeInfo m_AttributeInfo
```
    - m_Index
```
int m_Index
```
    - m_Weight
```
double m_Weight
```
    - m_AttributeMetaInfo
```
weka.core.AttributeMetaInfo m_AttributeMetaInfo
```
- Class weka.core.AttributeLocator extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -2932848827681070345L
  - Serialized Fields
    - m_AllowedIndices
```
int[] m_AllowedIndices
```
    - m_Attributes
```
java.util.BitSet m_Attributes
```
    - m_Locators
```
java.util.ArrayList<E> m_Locators
```
    - m_Type
```
int m_Type
```
    - m_Data
```
weka.core.Instances m_Data
```
    - m_Indices
```
int[] m_Indices
```
    - m_LocatorIndices
```
int[] m_LocatorIndices
```
- Class weka.core.AttributeMetaInfo extends java.lang.Object implements Serializable
  - Serialized Fields
    - m_Metadata
```
weka.core.ProtectedProperties m_Metadata
```
    - m_Ordering
```
int m_Ordering
```
    - m_IsRegular
```
boolean m_IsRegular
```
    - m_IsAveragable
```
boolean m_IsAveragable
```
    - m_HasZeropoint
```
boolean m_HasZeropoint
```
    - m_LowerBound
```
double m_LowerBound
```
    - m_LowerBoundIsOpen
```
boolean m_LowerBoundIsOpen
```
    - m_UpperBound
```
double m_UpperBound
```
    - m_UpperBoundIsOpen
```
boolean m_UpperBoundIsOpen
```
- Class weka.core.AttributeStats extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  4434688832743939380L
  - Serialized Fields
    - intCount
```
int intCount
```
    - realCount
```
int realCount
```
    - missingCount
```
int missingCount
```
    - distinctCount
```
int distinctCount
```
    - uniqueCount
```
int uniqueCount
```
    - totalCount
```
int totalCount
```
    - numericStats
```
weka.experiment.Stats numericStats
```
    - nominalCounts
```
int[] nominalCounts
```
    - nominalWeights
```
double[] nominalWeights
```
- Class weka.core.BinarySparseInstance extends weka.core.SparseInstance implements Serializable
  
  serialVersionUID:
  
  -5297388762342528737L
- Class weka.core.Capabilities extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -5478590032325567849L
  - Serialized Fields
    - m_Owner
```
weka.core.CapabilitiesHandler m_Owner
```
    - m_Capabilities
```
java.util.HashSet<E> m_Capabilities
```
    - m_Dependencies
```
java.util.HashSet<E> m_Dependencies
```
    - m_InterfaceDefinedCapabilities
```
java.util.HashSet<E> m_InterfaceDefinedCapabilities
```
    - m_FailReason
```
java.lang.Exception m_FailReason
```
    - m_MinimumNumberInstances
```
int m_MinimumNumberInstances
```
    - m_Test
```
boolean m_Test
```
    - m_InstancesTest
```
boolean m_InstancesTest
```
    - m_AttributeTest
```
boolean m_AttributeTest
```
    - m_MissingValuesTest
```
boolean m_MissingValuesTest
```
    - m_MissingClassValuesTest
```
boolean m_MissingClassValuesTest
```
    - m_MinimumNumberInstancesTest
```
boolean m_MinimumNumberInstancesTest
```
- Class weka.core.ChebyshevDistance extends weka.core.NormalizableDistance implements Serializable
  
  serialVersionUID:
  
  -7739904999895461429L
- Class weka.core.DateAttributeInfo extends java.lang.Object implements Serializable
  - Serialized Fields
    - m_DateFormat
```
java.text.SimpleDateFormat m_DateFormat
```
- Class weka.core.Debug extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  66171861743328020L
  - Serialized Fields
    - m_Enabled
```
boolean m_Enabled
```
    - m_Log
```
weka.core.Debug.Log m_Log
```
    - m_Clock
```
weka.core.Debug.Clock m_Clock
```
- Class weka.core.Debug.Clock extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  4622161807307942201L
  - Serialized Fields
    - m_OutputFormat
```
int m_OutputFormat
```
    - m_Start
```
long m_Start
```
    - m_Stop
```
long m_Stop
```
    - m_Running
```
boolean m_Running
```
    - m_ThreadID
```
long m_ThreadID
```
    - m_CanMeasureCpuTime
```
boolean m_CanMeasureCpuTime
```
    - m_UseCpuTime
```
boolean m_UseCpuTime
```
- Class weka.core.Debug.DBO extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -5245628124742606784L
  - Serialized Fields
    - m_verboseOn
```
boolean m_verboseOn
```
    - m_outputTypes
```
weka.core.Range m_outputTypes
```
- Class weka.core.Debug.Log extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1458435732111675823L
  - Serialized Fields
    - m_Filename
```
java.lang.String m_Filename
```
    - m_Size
```
int m_Size
```
    - m_NumFiles
```
int m_NumFiles
```
    - m_LoggerInitFailed
```
boolean m_LoggerInitFailed
```
- Class weka.core.Debug.Random extends java.util.Random implements Serializable
  
  serialVersionUID:
  
  1256846887618333956L
  - Serialized Fields
    - m_Debug
```
boolean m_Debug
```
    - m_ID
```
long m_ID
```
    - m_Log
```
weka.core.Debug.Log m_Log
```
- Class weka.core.Debug.SimpleLog extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -2671928223819510830L
  - Serialized Fields
    - m_Filename
```
java.lang.String m_Filename
```
- Class weka.core.Debug.Timestamp extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -6099868388466922753L
  - Serialized Fields
    - m_Stamp
```
java.util.Date m_Stamp
```
    - m_Format
```
java.lang.String m_Format
```
    - m_Formatter
```
java.text.SimpleDateFormat m_Formatter
```
- Class weka.core.Defaults extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1061521489520308096L
  - Serialized Fields
    - m_defaultsID
```
java.lang.String m_defaultsID
```
    - m_defaults
```
java.util.Map<K,V> m_defaults
```
- Class weka.core.DenseInstance extends weka.core.AbstractInstance implements Serializable
  
  serialVersionUID:
  
  1482635194499365122L
- Class weka.core.DictionaryBuilder extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  5579506627960356012L
  - Serialized Fields
    - m_inputFormat
```
weka.core.Instances m_inputFormat
```
    - m_outputFormat
```
weka.core.Instances m_outputFormat
```
    - m_dictsPerClass
```
java.util.Map<K,V>[] m_dictsPerClass
```
    - m_consolidatedDict
```
java.util.Map<K,V> m_consolidatedDict
```
    - m_doNotOperateOnPerClassBasis
```
boolean m_doNotOperateOnPerClassBasis
```
    - m_outputCounts
```
boolean m_outputCounts
```
    - m_lowerCaseTokens
```
boolean m_lowerCaseTokens
```
    - m_stemmer
```
weka.core.stemmers.Stemmer m_stemmer
```
    - m_stopwordsHandler
```
weka.core.stopwords.StopwordsHandler m_stopwordsHandler
```
    - m_wordsToKeep
```
int m_wordsToKeep
```
    - m_periodicPruneRate
```
long m_periodicPruneRate
```
    - m_minFrequency
```
int m_minFrequency
```
    - m_count
```
int m_count
```
    - m_tokenizer
```
weka.core.tokenizers.Tokenizer m_tokenizer
```
    - m_selectedRange
```
weka.core.Range m_selectedRange
```
    - m_classIndex
```
int m_classIndex
```
    - m_numClasses
```
int m_numClasses
```
    - m_Prefix
```
java.lang.String m_Prefix
```
    - m_TFTransform
```
boolean m_TFTransform
```
    - m_IDFTransform
```
boolean m_IDFTransform
```
    - m_normalize
```
boolean m_normalize
```
    - m_docLengthSum
```
double m_docLengthSum
```
    - m_avgDocLength
```
double m_avgDocLength
```
    - m_sortDictionary
```
boolean m_sortDictionary
```
    - m_inputContainsStringAttributes
```
boolean m_inputContainsStringAttributes
```
- Class weka.core.EmptyIteratorException extends weka.core.WekaException implements Serializable
  
  serialVersionUID:
  
  7159773687653762115L
- Class weka.core.EnvironmentProperties extends java.util.Properties implements Serializable
- Class weka.core.EuclideanDistance extends weka.core.NormalizableDistance implements Serializable
  
  serialVersionUID:
  
  1068606253458807903L
- Class weka.core.FastVector extends java.util.ArrayList<E> implements Serializable
  
  serialVersionUID:
  
  -2173635135622930169L
- Class weka.core.FilteredDistance extends java.lang.Object implements Serializable
  - Serialized Fields
    - m_Distance
```
weka.core.DistanceFunction m_Distance
```
    - m_Filter
```
weka.filters.Filter m_Filter
```
    - m_Remove
```
weka.filters.unsupervised.attribute.Remove m_Remove
```
- Class weka.core.InstanceComparator extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -6589278678230949683L
  - Serialized Fields
    - m_IncludeClass
```
boolean m_IncludeClass
```
    - m_Range
```
weka.core.Range m_Range
```
- Class weka.core.Instances extends java.util.AbstractList<weka.core.Instance> implements Serializable
  
  serialVersionUID:
  
  -19412345060742748L
  - Serialized Fields
    - m_RelationName
```
java.lang.String m_RelationName
```
    - m_Attributes
```
java.util.ArrayList<E> m_Attributes
```
    - m_NamesToAttributeIndices
```
java.util.HashMap<K,V> m_NamesToAttributeIndices
```
    - m_Instances
```
java.util.ArrayList<E> m_Instances
```
    - m_ClassIndex
```
int m_ClassIndex
```
    - m_Lines
```
int m_Lines
```
- Class weka.core.InvalidInputDataException extends weka.core.WekaException implements Serializable
  
  serialVersionUID:
  
  -388372062851727428L
- Class weka.core.InvalidLayerConfigurationException extends weka.core.WekaException implements Serializable
  
  serialVersionUID:
  
  -8089134131947363159L
- Class weka.core.InvalidNetworkArchitectureException extends weka.core.WekaException implements Serializable
  
  serialVersionUID:
  
  4688147827308527299L
- Class weka.core.InvalidValidationPercentageException extends weka.core.WekaException implements Serializable
  
  serialVersionUID:
  
  7595561274022725092L
- Class weka.core.LogConfiguration extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  7910114399022582661L
  - Serialized Fields
    - logFile
```
java.io.File logFile
```
      The file that log information will be written to.
    - wekaDl4jLogLevel
```
LogConfiguration.LogLevel wekaDl4jLogLevel
```
      WekaDl4j Log level.
    - nd4jLogLevel
```
LogConfiguration.LogLevel nd4jLogLevel
```
      ND4J Log level.
    - dl4jLogLevel
```
LogConfiguration.LogLevel dl4jLogLevel
```
      DL4J Log level.
    - append
```
boolean append
```
      If logs should be appended to an existing file.
- Class weka.core.ManhattanDistance extends weka.core.NormalizableDistance implements Serializable
  
  serialVersionUID:
  
  6783782554224000243L
- Class weka.core.Matrix extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -3604757095849145838L
  - Serialized Fields
    - m_Matrix
```
weka.core.matrix.Matrix m_Matrix
```
      Deprecated.
- Class weka.core.MinkowskiDistance extends weka.core.NormalizableDistance implements Serializable
  
  serialVersionUID:
  
  -7446019339455453893L
  - Serialized Fields
    - m_Order
```
double m_Order
```
- Class weka.core.MissingOutputLayerException extends weka.core.WekaException implements Serializable
  
  serialVersionUID:
  
  1038306995981039092L
- Class weka.core.NominalAttributeInfo extends java.lang.Object implements Serializable
  - Serialized Fields
    - m_Values
```
java.util.ArrayList<E> m_Values
```
    - m_Hashtable
```
java.util.Hashtable<K,V> m_Hashtable
```
- Class weka.core.NormalizableDistance extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -2806520224161351708L
  - Serialized Fields
    - m_Data
```
weka.core.Instances m_Data
```
    - m_DontNormalize
```
boolean m_DontNormalize
```
    - m_Ranges
```
double[][] m_Ranges
```
    - m_AttributeIndices
```
weka.core.Range m_AttributeIndices
```
    - m_ActiveIndices
```
boolean[] m_ActiveIndices
```
    - m_Validated
```
boolean m_Validated
```
- Class weka.core.NoSupportForMissingValuesException extends weka.core.WekaException implements Serializable
  
  serialVersionUID:
  
  5161175307725893973L
- Class weka.core.ProtectedProperties extends java.util.Properties implements Serializable
  
  serialVersionUID:
  
  3876658672657323985L
  - Serialized Fields
    - closed
```
boolean closed
```
- Class weka.core.Queue extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -1141282001146389780L
  - Serialized Fields
    - m_Head
```
weka.core.Queue.QueueNode m_Head
```
    - m_Tail
```
weka.core.Queue.QueueNode m_Tail
```
    - m_Size
```
int m_Size
```
- Class weka.core.Queue.QueueNode extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -5119358279412097455L
  - Serialized Fields
    - m_Next
```
weka.core.Queue.QueueNode m_Next
```
    - m_Contents
```
java.lang.Object m_Contents
```
- Class weka.core.RandomVariates extends java.util.Random implements Serializable
  
  serialVersionUID:
  
  -4763742718209460354L
- Class weka.core.Range extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  3667337062176835900L
  - Serialized Fields
    - m_RangeStrings
```
java.util.ArrayList<E> m_RangeStrings
```
    - m_Invert
```
boolean m_Invert
```
    - m_SelectFlags
```
boolean[] m_SelectFlags
```
    - m_Upper
```
int m_Upper
```
- Class weka.core.RelationalAttributeInfo extends weka.core.NominalAttributeInfo implements Serializable
  - Serialized Fields
    - m_Header
```
weka.core.Instances m_Header
```
- Class weka.core.RelationalLocator extends weka.core.AttributeLocator implements Serializable
  
  serialVersionUID:
  
  4646872277151854732L
- Class weka.core.SelectedTag extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  6947341624626504975L
  - Serialized Fields
    - m_Selected
```
int m_Selected
```
    - m_Tags
```
weka.core.Tag[] m_Tags
```
- Class weka.core.SerializedObject extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  6635502953928860434L
  - Serialized Fields
    - m_storedObjectArray
```
byte[] m_storedObjectArray
```
    - m_isCompressed
```
boolean m_isCompressed
```
    - m_isJython
```
boolean m_isJython
```
- Class weka.core.Settings extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -4005372566372478008L
  - Serialized Fields
    - m_settings
```
java.util.Map<K,V> m_settings
```
    - m_storeName
```
java.lang.String m_storeName
```
    - m_ID
```
java.lang.String m_ID
```
- Class weka.core.Settings.SettingKey extends java.lang.Object implements Serializable
  - Serialized Fields
    - m_key
```
java.lang.String m_key
```
    - m_description
```
java.lang.String m_description
```
    - m_toolTip
```
java.lang.String m_toolTip
```
    - m_pickList
```
java.util.List<E> m_pickList
```
    - m_meta
```
java.util.Map<K,V> m_meta
```
- Class weka.core.SingleIndex extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  5285169134430839303L
  - Serialized Fields
    - m_IndexString
```
java.lang.String m_IndexString
```
    - m_SelectedIndex
```
int m_SelectedIndex
```
    - m_Upper
```
int m_Upper
```
- Class weka.core.SparseInstance extends weka.core.AbstractInstance implements Serializable
  
  serialVersionUID:
  
  -3579051291332630149L
  - Serialized Fields
    - m_Indices
```
int[] m_Indices
```
    - m_NumAttributes
```
int m_NumAttributes
```
- Class weka.core.StringLocator extends weka.core.AttributeLocator implements Serializable
  
  serialVersionUID:
  
  7805522230268783972L
- Class weka.core.Tag extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  3326379903447135320L
  - Serialized Fields
    - m_ID
```
int m_ID
```
    - m_IDStr
```
java.lang.String m_IDStr
```
    - m_Readable
```
java.lang.String m_Readable
```
- Class weka.core.TestInstances extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -6263968936330390469L
  - Serialized Fields
    - m_Words
```
java.lang.String[] m_Words
```
    - m_WordSeparators
```
java.lang.String m_WordSeparators
```
    - m_Relation
```
java.lang.String m_Relation
```
    - m_Seed
```
int m_Seed
```
    - m_Random
```
java.util.Random m_Random
```
    - m_NumInstances
```
int m_NumInstances
```
    - m_ClassType
```
int m_ClassType
```
    - m_NumClasses
```
int m_NumClasses
```
    - m_ClassIndex
```
int m_ClassIndex
```
    - m_NumNominal
```
int m_NumNominal
```
    - m_NumNominalValues
```
int m_NumNominalValues
```
    - m_NumNumeric
```
int m_NumNumeric
```
    - m_NumString
```
int m_NumString
```
    - m_NumDate
```
int m_NumDate
```
    - m_NumRelational
```
int m_NumRelational
```
    - m_NumRelationalNominal
```
int m_NumRelationalNominal
```
    - m_NumRelationalNominalValues
```
int m_NumRelationalNominalValues
```
    - m_NumRelationalNumeric
```
int m_NumRelationalNumeric
```
    - m_NumRelationalString
```
int m_NumRelationalString
```
    - m_NumRelationalDate
```
int m_NumRelationalDate
```
    - m_MultiInstance
```
boolean m_MultiInstance
```
    - m_NumInstancesRelational
```
int m_NumInstancesRelational
```
    - m_RelationalFormat
```
weka.core.Instances[] m_RelationalFormat
```
    - m_RelationalClassFormat
```
weka.core.Instances m_RelationalClassFormat
```
    - m_Data
```
weka.core.Instances m_Data
```
    - m_Handler
```
weka.core.CapabilitiesHandler m_Handler
```
- Class weka.core.Trie extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -5897980928817779048L
  - Serialized Fields
    - m_Root
```
weka.core.Trie.TrieNode m_Root
```
    - m_HashCode
```
int m_HashCode
```
    - m_RecalcHashCode
```
boolean m_RecalcHashCode
```
- Class weka.core.Trie.TrieNode extends javax.swing.tree.DefaultMutableTreeNode implements Serializable
  
  serialVersionUID:
  
  -2252907099391881148L
  - Serialized Fields
    - m_Children
```
java.util.Hashtable<K,V> m_Children
```
- Class weka.core.UnassignedClassException extends java.lang.RuntimeException implements Serializable
  
  serialVersionUID:
  
  6268278694768818235L
- Class weka.core.UnassignedDatasetException extends java.lang.RuntimeException implements Serializable
  
  serialVersionUID:
  
  -9000116786626328854L
- Class weka.core.UnsupportedAttributeTypeException extends weka.core.WekaException implements Serializable
  
  serialVersionUID:
  
  2658987325328414838L
- Class weka.core.UnsupportedClassTypeException extends weka.core.WekaException implements Serializable
  
  serialVersionUID:
  
  5175741076972192151L
- Class weka.core.WekaException extends java.lang.Exception implements Serializable
  
  serialVersionUID:
  
  6428269989006208585L
- Class weka.core.WrongIteratorException extends weka.core.WekaException implements Serializable
  
  serialVersionUID:
  
  1038306995981039092L
Package weka.core.converters
- Class weka.core.converters.AbstractFileLoader extends weka.core.converters.AbstractLoader implements Serializable
  
  serialVersionUID:
  
  5535537461920594758L
  - Serialized Fields
    - m_File
```
java.lang.String m_File
```
    - m_sourceFile
```
java.io.File m_sourceFile
```
    - m_useRelativePath
```
boolean m_useRelativePath
```
- Class weka.core.converters.AbstractFileSaver extends weka.core.converters.AbstractSaver implements Serializable
  
  serialVersionUID:
  
  2399441762235754491L
  - Serialized Fields
    - m_outputFile
```
java.io.File m_outputFile
```
    - FILE_EXTENSION
```
java.lang.String FILE_EXTENSION
```
    - FILE_EXTENSION_COMPRESSED
```
java.lang.String FILE_EXTENSION_COMPRESSED
```
    - m_prefix
```
java.lang.String m_prefix
```
    - m_dir
```
java.lang.String m_dir
```
    - m_incrementalCounter
```
int m_incrementalCounter
```
    - m_useRelativePath
```
boolean m_useRelativePath
```
- Class weka.core.converters.AbstractLoader extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  2425432084900694551L
  - Serialized Fields
    - m_retrieval
```
int m_retrieval
```
- Class weka.core.converters.AbstractSaver extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -27467499727819258L
  - Serialized Fields
    - m_instances
```
weka.core.Instances m_instances
```
    - m_retrieval
```
int m_retrieval
```
    - m_writeMode
```
int m_writeMode
```
    - m_DoNotCheckCapabilities
```
boolean m_DoNotCheckCapabilities
```
- Class weka.core.converters.ArffLoader extends weka.core.converters.AbstractFileLoader implements Serializable
  
  serialVersionUID:
  
  2726929550544048587L
  - Serialized Fields
    - m_URL
```
java.lang.String m_URL
```
    - m_retainStringVals
```
boolean m_retainStringVals
```
- Class weka.core.converters.ArffSaver extends weka.core.converters.AbstractFileSaver implements Serializable
  
  serialVersionUID:
  
  2223634248900042228L
  - Serialized Fields
    - m_CompressOutput
```
boolean m_CompressOutput
```
    - m_MaxDecimalPlaces
```
int m_MaxDecimalPlaces
```
- Class weka.core.converters.C45Loader extends weka.core.converters.AbstractFileLoader implements Serializable
  
  serialVersionUID:
  
  5454329403218219L
  - Serialized Fields
    - m_sourceFileData
```
java.io.File m_sourceFileData
```
    - m_fileStem
```
java.lang.String m_fileStem
```
    - m_numAttribs
```
int m_numAttribs
```
    - m_ignore
```
boolean[] m_ignore
```
- Class weka.core.converters.C45Saver extends weka.core.converters.AbstractFileSaver implements Serializable
  
  serialVersionUID:
  
  -821428878384253377L
- Class weka.core.converters.ConverterUtils extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -2460855349276148760L
- Class weka.core.converters.ConverterUtils.DataSink extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -1504966891136411204L
  - Serialized Fields
    - m_Saver
```
weka.core.converters.Saver m_Saver
```
    - m_Stream
```
java.io.OutputStream m_Stream
```
- Class weka.core.converters.ConverterUtils.DataSource extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -613122395928757332L
  - Serialized Fields
    - m_File
```
java.io.File m_File
```
    - m_URL
```
java.net.URL m_URL
```
    - m_Loader
```
weka.core.converters.Loader m_Loader
```
    - m_Incremental
```
boolean m_Incremental
```
    - m_BatchCounter
```
int m_BatchCounter
```
    - m_IncrementalBuffer
```
weka.core.Instance m_IncrementalBuffer
```
    - m_BatchBuffer
```
weka.core.Instances m_BatchBuffer
```
- Class weka.core.converters.CSVLoader extends weka.core.converters.AbstractFileLoader implements Serializable
  
  serialVersionUID:
  
  -1300595850715808438L
  - Serialized Fields
    - m_FieldSeparator
```
java.lang.String m_FieldSeparator
```
    - m_MissingValue
```
java.lang.String m_MissingValue
```
    - m_NominalAttributes
```
weka.core.Range m_NominalAttributes
```
    - m_nominalLabelSpecs
```
java.util.List<E> m_nominalLabelSpecs
```
    - m_StringAttributes
```
weka.core.Range m_StringAttributes
```
    - m_dateAttributes
```
weka.core.Range m_dateAttributes
```
    - m_numericAttributes
```
weka.core.Range m_numericAttributes
```
    - m_dateFormat
```
java.lang.String m_dateFormat
```
    - m_formatter
```
java.text.SimpleDateFormat m_formatter
```
    - m_noHeaderRow
```
boolean m_noHeaderRow
```
    - m_Enclosures
```
java.lang.String m_Enclosures
```
    - m_rowBuffer
```
java.util.List<E> m_rowBuffer
```
    - m_bufferSize
```
int m_bufferSize
```
    - m_nominalVals
```
java.util.Map<K,V> m_nominalVals
```
    - m_incrementalReader
```
weka.core.converters.ArffLoader.ArffReader m_incrementalReader
```
    - m_fieldSeparatorAndEnclosures
```
java.lang.String[] m_fieldSeparatorAndEnclosures
```
    - m_current
```
java.util.ArrayList<E> m_current
```
    - m_types
```
weka.core.converters.CSVLoader.TYPE[] m_types
```
    - m_numBufferedRows
```
int m_numBufferedRows
```
- Class weka.core.converters.CSVSaver extends weka.core.converters.AbstractFileSaver implements Serializable
  
  serialVersionUID:
  
  476636654410701807L
  - Serialized Fields
    - m_FieldSeparator
```
java.lang.String m_FieldSeparator
```
    - m_MissingValue
```
java.lang.String m_MissingValue
```
    - m_MaxDecimalPlaces
```
int m_MaxDecimalPlaces
```
    - m_noHeaderRow
```
boolean m_noHeaderRow
```
- Class weka.core.converters.DatabaseConnection extends weka.experiment.DatabaseUtils implements Serializable
  
  serialVersionUID:
  
  1673169848863178695L
- Class weka.core.converters.DatabaseLoader extends weka.core.converters.AbstractLoader implements Serializable
  
  serialVersionUID:
  
  -7936159015338318659L
  - Serialized Fields
    - m_structure
```
weka.core.Instances m_structure
```
    - m_datasetPseudoInc
```
weka.core.Instances m_datasetPseudoInc
```
    - m_oldStructure
```
weka.core.Instances m_oldStructure
```
    - m_DataBaseConnection
```
weka.core.converters.DatabaseConnection m_DataBaseConnection
```
    - m_query
```
java.lang.String m_query
```
    - m_pseudoIncremental
```
boolean m_pseudoIncremental
```
    - m_checkForTable
```
boolean m_checkForTable
```
    - m_nominalToStringLimit
```
int m_nominalToStringLimit
```
    - m_rowCount
```
int m_rowCount
```
    - m_counter
```
int m_counter
```
    - m_choice
```
int m_choice
```
    - m_firstTime
```
boolean m_firstTime
```
    - m_inc
```
boolean m_inc
```
    - m_orderBy
```
java.util.ArrayList<E> m_orderBy
```
    - m_nominalIndexes
```
java.util.Hashtable<K,V>[] m_nominalIndexes
```
    - m_nominalStrings
```
java.util.ArrayList<E>[] m_nominalStrings
```
    - m_idColumn
```
java.lang.String m_idColumn
```
    - m_URL
```
java.lang.String m_URL
```
    - m_User
```
java.lang.String m_User
```
    - m_Password
```
java.lang.String m_Password
```
    - m_Keys
```
java.lang.String m_Keys
```
    - m_CustomPropsFile
```
java.io.File m_CustomPropsFile
```
    - m_CreateSparseData
```
boolean m_CreateSparseData
```
- Class weka.core.converters.DatabaseSaver extends weka.core.converters.AbstractSaver implements Serializable
  
  serialVersionUID:
  
  863971733782624956L
  - Serialized Fields
    - m_DataBaseConnection
```
weka.core.converters.DatabaseConnection m_DataBaseConnection
```
    - m_tableName
```
java.lang.String m_tableName
```
    - m_resolvedTableName
```
java.lang.String m_resolvedTableName
```
    - m_inputFile
```
java.lang.String m_inputFile
```
    - m_createText
```
java.lang.String m_createText
```
    - m_createDouble
```
java.lang.String m_createDouble
```
    - m_createInt
```
java.lang.String m_createInt
```
    - m_createDate
```
java.lang.String m_createDate
```
    - m_DateFormat
```
java.text.SimpleDateFormat m_DateFormat
```
    - m_idColumn
```
java.lang.String m_idColumn
```
    - m_count
```
int m_count
```
    - m_id
```
boolean m_id
```
    - m_tabName
```
boolean m_tabName
```
    - m_URL
```
java.lang.String m_URL
```
    - m_Username
```
java.lang.String m_Username
```
    - m_Password
```
java.lang.String m_Password
```
    - m_CustomPropsFile
```
java.io.File m_CustomPropsFile
```
    - m_truncate
```
boolean m_truncate
```
- Class weka.core.converters.DictionarySaver extends weka.core.converters.AbstractFileSaver implements Serializable
  
  serialVersionUID:
  
  -19891905988830722L
  - Serialized Fields
    - m_dictionaryBuilder
```
weka.core.DictionaryBuilder m_dictionaryBuilder
```
    - m_dictionaryIsBinary
```
boolean m_dictionaryIsBinary
```
    - m_periodicPruningRate
```
long m_periodicPruningRate
```
- Class weka.core.converters.ImageDirectoryLoader extends weka.core.converters.AbstractLoader implements Serializable
  
  serialVersionUID:
  
  8956780190928290891L
  - Serialized Fields
    - inputDirectory
```
java.io.File inputDirectory
```
      Input directory to get images from.
    - outputFileName
```
java.lang.String outputFileName
```
      Filename for output .arff file.
- Class weka.core.converters.JSONLoader extends weka.core.converters.AbstractFileLoader implements Serializable
  
  serialVersionUID:
  
  3764533621135196582L
  - Serialized Fields
    - m_URL
```
java.lang.String m_URL
```
    - m_JSON
```
weka.core.json.JSONNode m_JSON
```
- Class weka.core.converters.JSONSaver extends weka.core.converters.AbstractFileSaver implements Serializable
  
  serialVersionUID:
  
  -1047134047244534557L
  - Serialized Fields
    - m_ClassIndex
```
weka.core.SingleIndex m_ClassIndex
```
    - m_CompressOutput
```
boolean m_CompressOutput
```
- Class weka.core.converters.LibSVMLoader extends weka.core.converters.AbstractFileLoader implements Serializable
  
  serialVersionUID:
  
  4988360125354664417L
  - Serialized Fields
    - m_URL
```
java.lang.String m_URL
```
    - m_Buffer
```
java.util.Vector<E> m_Buffer
```
- Class weka.core.converters.LibSVMSaver extends weka.core.converters.AbstractFileSaver implements Serializable
  
  serialVersionUID:
  
  2792295817125694786L
  - Serialized Fields
    - m_ClassIndex
```
weka.core.SingleIndex m_ClassIndex
```
- Class weka.core.converters.Loader.StructureNotReadyException extends java.io.IOException implements Serializable
  
  serialVersionUID:
  
  1938493033987645828L
- Class weka.core.converters.MatlabLoader extends weka.core.converters.AbstractFileLoader implements Serializable
  
  serialVersionUID:
  
  -8861142318612875251L
  - Serialized Fields
    - m_URL
```
java.lang.String m_URL
```
    - m_Buffer
```
java.util.Vector<E> m_Buffer
```
- Class weka.core.converters.MatlabSaver extends weka.core.converters.AbstractFileSaver implements Serializable
  
  serialVersionUID:
  
  4118356803697172614L
  - Serialized Fields
    - m_UseDouble
```
boolean m_UseDouble
```
    - m_UseTabs
```
boolean m_UseTabs
```
    - m_HeaderWritten
```
boolean m_HeaderWritten
```
    - m_Format
```
java.text.DecimalFormat m_Format
```
- Class weka.core.converters.SerializedInstancesLoader extends weka.core.converters.AbstractFileLoader implements Serializable
  
  serialVersionUID:
  
  2391085836269030715L
  - Serialized Fields
    - m_Dataset
```
weka.core.Instances m_Dataset
```
    - m_IncrementalIndex
```
int m_IncrementalIndex
```
- Class weka.core.converters.SerializedInstancesSaver extends weka.core.converters.AbstractFileSaver implements Serializable
  
  serialVersionUID:
  
  -7717010648500658872L
  - Serialized Fields
    - m_objectstream
```
java.io.ObjectOutputStream m_objectstream
```
- Class weka.core.converters.StreamTokenizerUtils extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -5786996944597404253L
- Class weka.core.converters.SVMLightLoader extends weka.core.converters.AbstractFileLoader implements Serializable
  
  serialVersionUID:
  
  4988360125354664417L
  - Serialized Fields
    - m_URL
```
java.lang.String m_URL
```
    - m_Buffer
```
java.util.Vector<E> m_Buffer
```
- Class weka.core.converters.SVMLightSaver extends weka.core.converters.AbstractFileSaver implements Serializable
  
  serialVersionUID:
  
  2605714599263995835L
  - Serialized Fields
    - m_ClassIndex
```
weka.core.SingleIndex m_ClassIndex
```
- Class weka.core.converters.TextDirectoryLoader extends weka.core.converters.AbstractLoader implements Serializable
  
  serialVersionUID:
  
  2592118773712247647L
  - Serialized Fields
    - m_structure
```
weka.core.Instances m_structure
```
    - m_sourceFile
```
java.io.File m_sourceFile
```
    - m_Debug
```
boolean m_Debug
```
    - m_OutputFilename
```
boolean m_OutputFilename
```
    - m_charSet
```
java.lang.String m_charSet
```
    - m_filesByClass
```
java.util.List<E> m_filesByClass
```
    - m_lastClassDir
```
int m_lastClassDir
```
- Class weka.core.converters.Word2VecLoader extends weka.core.converters.AbstractFileLoader implements Serializable
  
  serialVersionUID:
  
  -5963779116425129124L
  - Serialized Fields
    - vec
```
org.deeplearning4j.models.word2vec.Word2Vec vec
```
      Word2Vec object
- Class weka.core.converters.XRFFLoader extends weka.core.converters.AbstractFileLoader implements Serializable
  
  serialVersionUID:
  
  3764533621135196582L
  - Serialized Fields
    - m_URL
```
java.lang.String m_URL
```
    - m_XMLInstances
```
weka.core.xml.XMLInstances m_XMLInstances
```
- Class weka.core.converters.XRFFSaver extends weka.core.converters.AbstractFileSaver implements Serializable
  
  serialVersionUID:
  
  -7226404765213522043L
  - Serialized Fields
    - m_ClassIndex
```
weka.core.SingleIndex m_ClassIndex
```
    - m_XMLInstances
```
weka.core.xml.XMLInstances m_XMLInstances
```
    - m_CompressOutput
```
boolean m_CompressOutput
```
Package weka.core.progress
- Class weka.core.progress.AbstractProgressBar extends java.lang.Object implements Serializable
  - Serialized Fields
    - m_indeterminate
```
boolean m_indeterminate
```
      Is the progress bar set to indeterminate mode?.
    - m_progressMessage
```
java.lang.String m_progressMessage
```
      Progress message, set by the user.
    - m_actualProgress
```
double m_actualProgress
```
      Actual progress value (e.g., 25)
    - m_maxProgress
```
double m_maxProgress
```
      Maximum progress value/number of iterations (e.g., 50)
    - m_normalizedProgress
```
double m_normalizedProgress
```
      Normalized progress value (e.g., 0.5)
    - etaHms
```
java.lang.String etaHms
```
      Estimated time remaining for the current task.
    - startTime
```
long startTime
```
      Time the progress manager was started on (used for calculating ETA).
- Class weka.core.progress.CommandLineProgressBar extends AbstractProgressBar implements Serializable
  - Serialized Fields
    - totalProgressBarSize
```
int totalProgressBarSize
```
      Total number of characters across the progress bar.
    - indeterminateBarSize
```
int indeterminateBarSize
```
      Size of the indeterminate bar which scrolls across.
    - currNumDots
```
int currNumDots
```
      Number of Progress chars to print.
    - leftSpace
```
int leftSpace
```
      Space to the left and right of the progress bar.
    - rightSpace
```
int rightSpace
```
      Space to the left and right of the progress bar.
    - timer
```
java.util.Timer timer
```
      Timer for refreshing the indeterminate progress bar.
- Class weka.core.progress.GUIProgressBar extends AbstractProgressBar implements Serializable
  - Serialized Fields
    - currentFrame
```
javax.swing.JFrame currentFrame
```
      The main JFrame.
    - progressBar
```
javax.swing.JProgressBar progressBar
```
      The main progress bar.
    - progressMessageLabel
```
javax.swing.JLabel progressMessageLabel
```
      Displays the user supplied progress message.
    - etaLabel
```
javax.swing.JLabel etaLabel
```
      Displays the calculated ETA.
- Class weka.core.progress.ProgressManager extends java.lang.Object implements Serializable
  - Serialized Fields
    - progressBar
```
AbstractProgressBar progressBar
```
      Progress bar to control.
    - runningInGUI
```
boolean runningInGUI
```
      Flag indicating if we're running the GUI.

Package weka.dl4j

Class weka.dl4j.ArffMetaDataLabelGenerator extends java.lang.Object implements Serializable

serialVersionUID:

5918725700616180163L
- Serialized Fields
  - log
```
org.slf4j.Logger log
```
    The logger used in this class.
  - fileLabelMap
```
java.util.Map<K,V> fileLabelMap
```
    Mapping from paths to labels
  - paths
```
java.util.List<E> paths
```
    Paths of the input files
  - labels
```
java.util.List<E> labels
```
    Labels of the input files
  - basePath
```
java.lang.String basePath
```
    Basepath where the files reside
Class weka.dl4j.IsGPUAvailable extends javax.swing.JPanel implements Serializable
- Serialized Fields
  - outputLabel
```
javax.swing.JLabel outputLabel
```
  - checkButton
```
javax.swing.JButton checkButton
```

Class weka.dl4j.NeuralNetConfiguration extends java.lang.Object implements Serializable

serialVersionUID:: -4384295102884151216L

Serialized Fields

weightInit

org.deeplearning4j.nn.weights.WeightInit weightInit

biasInit
```
double biasInit
```

dist

Distribution<T extends org.deeplearning4j.nn.conf.distribution.Distribution> dist

l1
```
double l1
```
l2
```
double l2
```

dropout

AbstractDropout<T extends org.deeplearning4j.nn.conf.dropout.IDropout> dropout

updater

Updater<T extends org.nd4j.linalg.learning.config.IUpdater> updater

biasUpdater

Updater<T extends org.nd4j.linalg.learning.config.IUpdater> biasUpdater

miniBatch
```
boolean miniBatch
```
seed
```
long seed
```

optimizationAlgo

org.deeplearning4j.nn.api.OptimizationAlgorithm optimizationAlgo

useDropConnect
```
boolean useDropConnect
```

weightNoise

AbstractWeightNoise<T extends org.deeplearning4j.nn.conf.weightnoise.IWeightNoise> weightNoise

minimize
```
boolean minimize
```

gradientNormalization

GradientNormalization gradientNormalization

gradientNormalizationThreshold
```
double gradientNormalizationThreshold
```

inferenceWorkspaceMode

org.deeplearning4j.nn.conf.WorkspaceMode inferenceWorkspaceMode

trainingWorkspaceMode

org.deeplearning4j.nn.conf.WorkspaceMode trainingWorkspaceMode

Package weka.dl4j.activations
- Class weka.dl4j.activations.Activation extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  2617232662215304733L
  - Serialized Fields
    - backend
```
org.nd4j.linalg.activations.IActivation backend
```
- Class weka.dl4j.activations.ActivationCube extends Activation<org.nd4j.linalg.activations.impl.ActivationCube> implements Serializable
  
  serialVersionUID:
  
  8926934844799196541L
- Class weka.dl4j.activations.ActivationELU extends Activation<org.nd4j.linalg.activations.impl.ActivationELU> implements Serializable
  
  serialVersionUID:
  
  -720206378421144717L
  - Serialized Fields
    - alpha
```
double alpha
```
- Class weka.dl4j.activations.ActivationHardSigmoid extends Activation<org.nd4j.linalg.activations.impl.ActivationHardSigmoid> implements Serializable
  
  serialVersionUID:
  
  -1571785817480969424L
- Class weka.dl4j.activations.ActivationHardTanH extends Activation<org.nd4j.linalg.activations.impl.ActivationHardTanH> implements Serializable
  
  serialVersionUID:
  
  -8130830280796701805L
- Class weka.dl4j.activations.ActivationIdentity extends Activation<org.nd4j.linalg.activations.impl.ActivationIdentity> implements Serializable
  
  serialVersionUID:
  
  -1805385201433481358L
- Class weka.dl4j.activations.ActivationLReLU extends Activation<org.nd4j.linalg.activations.impl.ActivationLReLU> implements Serializable
  
  serialVersionUID:
  
  -8964799878986489846L
  - Serialized Fields
    - alpha
```
double alpha
```
- Class weka.dl4j.activations.ActivationRationalTanh extends Activation<org.nd4j.linalg.activations.impl.ActivationRationalTanh> implements Serializable
  
  serialVersionUID:
  
  -20670350590983508L
- Class weka.dl4j.activations.ActivationReLU extends Activation<org.nd4j.linalg.activations.impl.ActivationReLU> implements Serializable
  
  serialVersionUID:
  
  -705527390430410412L
- Class weka.dl4j.activations.ActivationRReLU extends Activation<org.nd4j.linalg.activations.impl.ActivationRReLU> implements Serializable
  
  serialVersionUID:
  
  -6995697781151991845L
  - Serialized Fields
    - lowerBound
```
double lowerBound
```
    - upperBound
```
double upperBound
```
- Class weka.dl4j.activations.ActivationSigmoid extends Activation<org.nd4j.linalg.activations.impl.ActivationSigmoid> implements Serializable
  
  serialVersionUID:
  
  1082773128147974228L
- Class weka.dl4j.activations.ActivationSoftmax extends Activation<org.nd4j.linalg.activations.impl.ActivationSoftmax> implements Serializable
  
  serialVersionUID:
  
  -1320311422396467738L
- Class weka.dl4j.activations.ActivationSoftPlus extends Activation<org.nd4j.linalg.activations.impl.ActivationSoftPlus> implements Serializable
  
  serialVersionUID:
  
  3329661988496210414L
- Class weka.dl4j.activations.ActivationSoftSign extends Activation<org.nd4j.linalg.activations.impl.ActivationSoftSign> implements Serializable
  
  serialVersionUID:
  
  -5821512531537206337L
- Class weka.dl4j.activations.ActivationSwish extends Activation<org.nd4j.linalg.activations.impl.ActivationSwish> implements Serializable
  
  serialVersionUID:
  
  4991484045836286902L
- Class weka.dl4j.activations.ActivationTanH extends Activation<org.nd4j.linalg.activations.impl.ActivationTanH> implements Serializable
  
  serialVersionUID:
  
  7596269333206507386L
Package weka.dl4j.distribution
- Class weka.dl4j.distribution.BinomialDistribution extends Distribution<org.deeplearning4j.nn.conf.distribution.BinomialDistribution> implements Serializable
  
  serialVersionUID:
  
  4200787281772886115L
  - Serialized Fields
    - numberOfTrials
```
int numberOfTrials
```
- Class weka.dl4j.distribution.ConstantDistribution extends Distribution<org.deeplearning4j.nn.conf.distribution.ConstantDistribution> implements Serializable
  
  serialVersionUID:
  
  -822639410912329551L
- Class weka.dl4j.distribution.Disabled extends Distribution<org.deeplearning4j.nn.conf.distribution.Distribution> implements Serializable
  
  serialVersionUID:
  
  -3673597910434423693L
- Class weka.dl4j.distribution.Distribution extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -283820469693291697L
  - Serialized Fields
    - backend
```
org.deeplearning4j.nn.conf.distribution.Distribution backend
```
- Class weka.dl4j.distribution.LogNormalDistribution extends Distribution<org.deeplearning4j.nn.conf.distribution.LogNormalDistribution> implements Serializable
  
  serialVersionUID:
  
  1244534661808099971L
- Class weka.dl4j.distribution.NormalDistribution extends Distribution<org.deeplearning4j.nn.conf.distribution.NormalDistribution> implements Serializable
  
  serialVersionUID:
  
  1244534661808099971L
- Class weka.dl4j.distribution.OrthogonalDistribution extends Distribution<org.deeplearning4j.nn.conf.distribution.OrthogonalDistribution> implements Serializable
  
  serialVersionUID:
  
  1244534661808099971L
- Class weka.dl4j.distribution.TruncatedNormalDistribution extends Distribution<org.deeplearning4j.nn.conf.distribution.TruncatedNormalDistribution> implements Serializable
  
  serialVersionUID:
  
  1244534661808099971L
- Class weka.dl4j.distribution.UniformDistribution extends Distribution<org.deeplearning4j.nn.conf.distribution.UniformDistribution> implements Serializable
  
  serialVersionUID:
  
  -822639410912329551L
Package weka.dl4j.dropout
- Class weka.dl4j.dropout.AbstractDropout extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -6503641755209671848L
  - Serialized Fields
    - backend
```
org.deeplearning4j.nn.conf.dropout.IDropout backend
```
- Class weka.dl4j.dropout.AlphaDropout extends AbstractDropout<org.deeplearning4j.nn.conf.dropout.AlphaDropout> implements Serializable
  
  serialVersionUID:
  
  -294245467732026881L
  - Serialized Fields
    - p
```
double p
```
    - pSchedule
```
Schedule<T extends org.nd4j.linalg.schedule.ISchedule> pSchedule
```
    - alpha
```
double alpha
```
    - lambda
```
double lambda
```
- Class weka.dl4j.dropout.Disabled extends AbstractDropout<weka.dl4j.dropout.Disabled.DisabledDropoutImpl> implements Serializable
  
  serialVersionUID:
  
  8082864981844682636L
- Class weka.dl4j.dropout.Disabled.DisabledDropoutImpl extends org.deeplearning4j.nn.conf.dropout.Dropout implements Serializable
  
  serialVersionUID:
  
  5933930276882455322L
- Class weka.dl4j.dropout.Dropout extends AbstractDropout<org.deeplearning4j.nn.conf.dropout.Dropout> implements Serializable
  
  serialVersionUID:
  
  8473917398934823240L
- Class weka.dl4j.dropout.GaussianDropout extends AbstractDropout<org.deeplearning4j.nn.conf.dropout.GaussianDropout> implements Serializable
  
  serialVersionUID:
  
  -294245467732026881L
  - Serialized Fields
    - rateSchedule
```
Schedule<T extends org.nd4j.linalg.schedule.ISchedule> rateSchedule
```
- Class weka.dl4j.dropout.GaussianNoise extends AbstractDropout<org.deeplearning4j.nn.conf.dropout.GaussianNoise> implements Serializable
  
  serialVersionUID:
  
  -294245467732026881L
  - Serialized Fields
    - rateSchedule
```
Schedule<T extends org.nd4j.linalg.schedule.ISchedule> rateSchedule
```
    - stdDev
```
double stdDev
```
Package weka.dl4j.earlystopping
- Class weka.dl4j.earlystopping.EarlyStopping extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  5248828973394650102L
  - Serialized Fields
    - maxEpochsNoImprovement
```
int maxEpochsNoImprovement
```
      Maximum of epochs without improvement
    - countEpochsNoImprovement
```
int countEpochsNoImprovement
```
      Counter for the number of epochs without improvement
    - lastBestScore
```
double lastBestScore
```
      Last best score
    - validationSetPercentage
```
double validationSetPercentage
```
      Percentage of the training data to use as validation set
Package weka.dl4j.inference
- Class weka.dl4j.inference.CustomModelSetup extends java.lang.Object implements Serializable
  - Serialized Fields
    - serializedModelFile
```
java.io.File serializedModelFile
```
      The classifier model this filter is based on.
    - inputChannels
```
int inputChannels
```
      Input channels for the model.
    - inputWidth
```
int inputWidth
```
      Input width for the model.
    - inputHeight
```
int inputHeight
```
      Input height for the model.
- Class weka.dl4j.inference.Dl4jCNNExplorer extends java.lang.Object implements Serializable
  - Serialized Fields
    - useCustomModel
```
boolean useCustomModel
```
      Set to true to use the serialized model file, false otherwise.
    - customModelSetup
```
CustomModelSetup customModelSetup
```
      Custom model setup, used if the model is supplying a custom-trained model.
    - zooModelType
```
AbstractZooModel zooModelType
```
      The zoo model to use, if we're not loading from the serialized model file (default).
    - modelOutputDecoder
```
ModelOutputDecoder modelOutputDecoder
```
      Decodes the prediction IDs to human-readable format Defaults to a decoder for IMAGENET classes.
    - generateSaliencyMap
```
boolean generateSaliencyMap
```
      Flag for ScoreCAM saliency map generation.
    - saliencyMapWrapper
```
AbstractCNNSaliencyMapWrapper saliencyMapWrapper
```
      Class to generate a saliency map.
    - model
```
Dl4jMlpClassifier model
```
      Model used for feature extraction.
    - currentPredictions
```
TopNPredictions currentPredictions
```
      Predictions for the current image.
- Class weka.dl4j.inference.ModelOutputDecoder extends java.lang.Object implements Serializable
  - Serialized Fields
    - builtInClassMap
```
ClassmapType builtInClassMap
```
      Class Map to use to decode the model output.
    - classMapFile
```
java.io.File classMapFile
```
      Path to custom class map file.
Package weka.dl4j.interpretability
- Class weka.dl4j.interpretability.AbstractCNNSaliencyMapWrapper extends java.lang.Object implements Serializable
  - Serialized Fields
    - progressManager
```
ProgressManager progressManager
```
      Displays progress of the current process (feature extraction, training, etc.)
    - batchSize
```
int batchSize
```
      Batch size for generating the saliency map.
    - targetClassIDs
```
int[] targetClassIDs
```
      IDs of the classes we want to generate heatmaps for.
    - outputFile
```
java.io.File outputFile
```
      File to save heatmap image to.
    - normalizeHeatmap
```
boolean normalizeHeatmap
```
      Should we normalize the heatmap.
    - classMap
```
java.lang.String[] classMap
```
      Classmap to match with target classes.
    - dl4jMlpClassifier
```
Dl4jMlpClassifier dl4jMlpClassifier
```
      Model used for feature extraction.
    - customModelSetup
```
CustomModelSetup customModelSetup
```
      Custom model settings, to be used when running on a custom-trained model.
- Class weka.dl4j.interpretability.WekaScoreCAM extends AbstractCNNSaliencyMapWrapper implements Serializable
  - Serialized Fields
    - scoreCAM
```
ScoreCAM scoreCAM
```
      ScoreCAM backend.
Package weka.dl4j.iterators.dataset
- Class weka.dl4j.iterators.dataset.DefaultDataSetIterator extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  5571114918884888578L
  - Serialized Fields
    - data
```
org.nd4j.linalg.dataset.DataSet data
```
      The dataset to operate on
    - batchSize
```
int batchSize
```
      The batch size
    - cursor
```
int cursor
```
      The cursor
    - preProcessor
```
org.nd4j.linalg.dataset.api.DataSetPreProcessor preProcessor
```
      An optional dataset preprocessor
Package weka.dl4j.iterators.dataset.sequence
- Class weka.dl4j.iterators.dataset.sequence.RelationalDataSetIterator extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  8353870921670443077L
  - Serialized Fields
    - data
```
weka.core.Instances data
```
      Dataset
    - batchSize
```
int batchSize
```
      Batch size
    - truncateLength
```
int truncateLength
```
      Maximum sequence length
    - numFeatures
```
int numFeatures
```
      Number of features in the relational attribute
    - relationalAttributeIndex
```
int relationalAttributeIndex
```
      Relational attribute index
    - cursor
```
int cursor
```
      Cursor to current row
Package weka.dl4j.iterators.dataset.sequence.text.cnn
- Class weka.dl4j.iterators.dataset.sequence.text.cnn.CnnSentenceDataSetIterator extends org.deeplearning4j.iterator.CnnSentenceDataSetIterator implements Serializable
  
  serialVersionUID:
  
  685006779872000151L
  - Serialized Fields
    - stopwords
```
weka.core.stopwords.AbstractStopwords stopwords
```
      Stop words.

Package weka.dl4j.iterators.dataset.sequence.text.rnn

Class weka.dl4j.iterators.dataset.sequence.text.rnn.RnnTextEmbeddingDataSetIterator extends java.lang.Object implements Serializable

serialVersionUID:: 1682821361704251554L

Serialized Fields

data
```
weka.core.Instances data
```

wordVectors

org.deeplearning4j.models.embeddings.wordvectors.WordVectors wordVectors

batchSize
```
int batchSize
```
wordVectorSize
```
int wordVectorSize
```
truncateLength
```
int truncateLength
```

tokenizerFactory

TokenizerFactory<T extends org.deeplearning4j.text.tokenization.tokenizerfactory.TokenizerFactory> tokenizerFactory

stopWords

weka.core.stopwords.AbstractStopwords stopWords

cursor
```
int cursor
```

sentenceProvider

org.deeplearning4j.iterator.LabeledSentenceProvider sentenceProvider

Package weka.dl4j.iterators.instance
- Class weka.dl4j.iterators.instance.AbstractInstanceIterator extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  7440584973810993954L
  - Serialized Fields
    - batchSize
```
int batchSize
```
      The batch size for the mini batches
- Class weka.dl4j.iterators.instance.ConvolutionInstanceIterator extends DefaultInstanceIterator implements Serializable
  
  serialVersionUID:
  
  -3101209034945158130L
  - Serialized Fields
    - height
```
int height
```
      The desired output height
    - width
```
int width
```
      The desired output width
    - numChannels
```
int numChannels
```
      The desired number of channels
- Class weka.dl4j.iterators.instance.DefaultInstanceIterator extends AbstractInstanceIterator implements Serializable
  
  serialVersionUID:
  
  1316260988724548474L
- Class weka.dl4j.iterators.instance.ImageInstanceIterator extends AbstractInstanceIterator implements Serializable
  
  serialVersionUID:
  
  -3701309032945158130L
  - Serialized Fields
    - height
```
int height
```
      The desired output height.
    - width
```
int width
```
      The desired output width.
    - numChannels
```
int numChannels
```
      The desired number of channels.
    - channelsLast
```
boolean channelsLast
```
      If true, swap the reader to supply image channels last.
    - imagesLocation
```
java.io.File imagesLocation
```
      The location of the folder containing the images.
- Class weka.dl4j.iterators.instance.ResizeImageInstanceIterator extends ImageInstanceIterator implements Serializable
  
  serialVersionUID:
  
  -3310258401133869149L
  - Serialized Fields
    - resizeHeight
```
int resizeHeight
```
      New image height
    - resizeWidth
```
int resizeWidth
```
      New image width
    - iii
```
ImageInstanceIterator iii
```
      Backing image iterator
Package weka.dl4j.iterators.instance.sequence
- Class weka.dl4j.iterators.instance.sequence.AbstractSequenceInstanceIterator extends AbstractInstanceIterator implements Serializable
  
  serialVersionUID:
  
  6449591540279265588L
- Class weka.dl4j.iterators.instance.sequence.RelationalInstanceIterator extends AbstractSequenceInstanceIterator implements Serializable
  
  serialVersionUID:
  
  3713170652162476693L
  - Serialized Fields
    - truncateLength
```
int truncateLength
```
      Maximum sequence length
    - relationalAttributeIndex
```
int relationalAttributeIndex
```
      Index of the relational attribute
Package weka.dl4j.iterators.instance.sequence.text
- Class weka.dl4j.iterators.instance.sequence.text.AbstractTextEmbeddingIterator extends AbstractSequenceInstanceIterator implements Serializable
  
  serialVersionUID:
  
  -7281727147475986632L
  - Serialized Fields
    - wordVectorLocation
```
java.io.File wordVectorLocation
```
      Word vector file location
    - tokenPreProcess
```
TokenPreProcess<T extends org.deeplearning4j.text.tokenization.tokenizer.TokenPreProcess> tokenPreProcess
```
      Token pre processor
    - tokenizerFactory
```
TokenizerFactory<T extends org.deeplearning4j.text.tokenization.tokenizerfactory.TokenizerFactory> tokenizerFactory
```
      Tokenizer factory
    - stopwords
```
Dl4jAbstractStopwords stopwords
```
      Stop words
    - truncateLength
```
int truncateLength
```
      Truncation length (maximum number of tokens per document)
Package weka.dl4j.iterators.instance.sequence.text.cnn
- Class weka.dl4j.iterators.instance.sequence.text.cnn.CnnTextEmbeddingInstanceIterator extends AbstractTextEmbeddingIterator implements Serializable
  
  serialVersionUID:
  
  3417451906101970927L
- Class weka.dl4j.iterators.instance.sequence.text.cnn.CnnTextFilesEmbeddingInstanceIterator extends CnnTextEmbeddingInstanceIterator implements Serializable
  
  serialVersionUID:
  
  3417451906101970927L
  - Serialized Fields
    - textsLocation
```
java.io.File textsLocation
```
Package weka.dl4j.iterators.instance.sequence.text.rnn
- Class weka.dl4j.iterators.instance.sequence.text.rnn.RnnTextEmbeddingInstanceIterator extends AbstractTextEmbeddingIterator implements Serializable
  
  serialVersionUID:
  
  1316260988724548474L
- Class weka.dl4j.iterators.instance.sequence.text.rnn.RnnTextFilesEmbeddingInstanceIterator extends RnnTextEmbeddingInstanceIterator implements Serializable
  
  serialVersionUID:
  
  -1065956690877737854L
  - Serialized Fields
    - textsLocation
```
java.io.File textsLocation
```
Package weka.dl4j.layers
- Class weka.dl4j.layers.ActivationLayer extends Layer<org.deeplearning4j.nn.conf.layers.ActivationLayer> implements Serializable
  
  serialVersionUID:
  
  5492158451092620414L
- Class weka.dl4j.layers.BatchNormalization extends FeedForwardLayer<org.deeplearning4j.nn.conf.layers.BatchNormalization> implements Serializable
  
  serialVersionUID:
  
  6804344091980568487L
- Class weka.dl4j.layers.BroadcastLambdaLayer extends SameDiffLayer<CustomBroadcast> implements Serializable
  
  serialVersionUID:
  
  690534416520568487L
- Class weka.dl4j.layers.CenterLossOutputLayer extends FeedForwardLayer<org.deeplearning4j.nn.conf.layers.CenterLossOutputLayer> implements Serializable
  
  serialVersionUID:
  
  470708804132984710L
- Class weka.dl4j.layers.ConvolutionLayer extends FeedForwardLayer<org.deeplearning4j.nn.conf.layers.ConvolutionLayer> implements Serializable
  
  serialVersionUID:
  
  6905344091980568487L
- Class weka.dl4j.layers.Cropping2D extends NoParamLayer<org.deeplearning4j.nn.conf.layers.convolutional.Cropping2D> implements Serializable
  
  serialVersionUID:
  
  -6905811990400L
- Class weka.dl4j.layers.DenseLayer extends FeedForwardLayer<org.deeplearning4j.nn.conf.layers.DenseLayer> implements Serializable
  
  serialVersionUID:
  
  -6905917800811990400L
- Class weka.dl4j.layers.DepthwiseConvolution2DLayer extends FeedForwardLayer<org.deeplearning4j.nn.conf.layers.DepthwiseConvolution2D> implements Serializable
  
  serialVersionUID:
  
  1252151635L
- Class weka.dl4j.layers.DropoutLayer extends FeedForwardLayer<org.deeplearning4j.nn.conf.layers.DropoutLayer> implements Serializable
  
  serialVersionUID:
  
  6776278263117585400L
- Class weka.dl4j.layers.FeedForwardLayer extends Layer<T extends org.deeplearning4j.nn.conf.layers.FeedForwardLayer> implements Serializable
  
  serialVersionUID:
  
  -909125865597886097L
- Class weka.dl4j.layers.GlobalPoolingLayer extends Layer<org.deeplearning4j.nn.conf.layers.GlobalPoolingLayer> implements Serializable
  
  serialVersionUID:
  
  2882286002911860559L
- Class weka.dl4j.layers.GravesLSTM extends FeedForwardLayer<org.deeplearning4j.nn.conf.layers.GravesLSTM> implements Serializable
  
  serialVersionUID:
  
  -8982185320769591891L
- Class weka.dl4j.layers.Layer extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  2802598550880773277L
  - Serialized Fields
    - backend
```
org.deeplearning4j.nn.conf.layers.Layer backend
```
- Class weka.dl4j.layers.LocalResponseNormalization extends Layer<org.deeplearning4j.nn.conf.layers.LocalResponseNormalization> implements Serializable
  
  serialVersionUID:
  
  1846770958541767815L
- Class weka.dl4j.layers.LossLayer extends FeedForwardLayer<org.deeplearning4j.nn.conf.layers.LossLayer> implements Serializable
  
  serialVersionUID:
  
  470708804132984710L
- Class weka.dl4j.layers.LSTM extends FeedForwardLayer<org.deeplearning4j.nn.conf.layers.LSTM> implements Serializable
  
  serialVersionUID:
  
  7681606601452628181L
- Class weka.dl4j.layers.NoParamLayer extends Layer<T extends org.deeplearning4j.nn.conf.layers.NoParamLayer> implements Serializable
  
  serialVersionUID:
  
  -909125865597886097L
- Class weka.dl4j.layers.OutputLayer extends FeedForwardLayer<org.deeplearning4j.nn.conf.layers.OutputLayer> implements Serializable
  
  serialVersionUID:
  
  139321786136127207L
- Class weka.dl4j.layers.RnnOutputLayer extends FeedForwardLayer<org.deeplearning4j.nn.conf.layers.RnnOutputLayer> implements Serializable
  
  serialVersionUID:
  
  6333123285853131216L
- Class weka.dl4j.layers.SameDiffLayer extends Layer<T extends org.deeplearning4j.nn.conf.layers.samediff.SameDiffLambdaLayer> implements Serializable
  
  serialVersionUID:
  
  -909125865597886097L
- Class weka.dl4j.layers.SeperableConvolution2DLayer extends FeedForwardLayer<org.deeplearning4j.nn.conf.layers.SeparableConvolution2D> implements Serializable
  
  serialVersionUID:
  
  6905344091980568487L
- Class weka.dl4j.layers.SubsamplingLayer extends Layer<org.deeplearning4j.nn.conf.layers.SubsamplingLayer> implements Serializable
  
  serialVersionUID:
  
  -699034028619492301L
- Class weka.dl4j.layers.ZeroPaddingLayer extends Layer<org.deeplearning4j.nn.conf.layers.ZeroPaddingLayer> implements Serializable
  
  serialVersionUID:
  
  847105027603786222L
Package weka.dl4j.layers.lambda
- Class weka.dl4j.layers.lambda.CustomBroadcast extends org.deeplearning4j.nn.conf.layers.samediff.SameDiffLambdaLayer implements Serializable
  - Serialized Fields
    - width
```
long width
```
      Width and height of the incoming activations.
Package weka.dl4j.listener
- Class weka.dl4j.listener.EpochListener extends TrainingListener implements Serializable
  
  serialVersionUID:
  
  -8852994767947925554L
  - Serialized Fields
    - n
```
int n
```
      Evaluate every N epochs
    - isIntermediateEvaluationsEnabled
```
boolean isIntermediateEvaluationsEnabled
```
      Enable intermediate evaluations
- Class weka.dl4j.listener.TrainingListener extends org.deeplearning4j.optimize.api.BaseTrainingListener implements Serializable
  
  serialVersionUID:
  
  8106114790187499011L
  - Serialized Fields
    - numSamples
```
int numSamples
```
      Number of samples
    - numClasses
```
int numClasses
```
      Number of epochs
    - numEpochs
```
int numEpochs
```
      Number of classes
    - currentEpoch
```
int currentEpoch
```
      The current epoch
Package weka.dl4j.lossfunctions
- Class weka.dl4j.lossfunctions.LossBinaryXENT extends LossFunction<org.nd4j.linalg.lossfunctions.impl.LossBinaryXENT> implements Serializable
  
  serialVersionUID:
  
  8156148534145717548L
- Class weka.dl4j.lossfunctions.LossCosineProximity extends LossFunction<org.nd4j.linalg.lossfunctions.impl.LossCosineProximity> implements Serializable
  
  serialVersionUID:
  
  -7179894520512941117L
- Class weka.dl4j.lossfunctions.LossFMeasure extends LossFunction<org.nd4j.linalg.lossfunctions.impl.LossFMeasure> implements Serializable
  
  serialVersionUID:
  
  7245361627644111806L
- Class weka.dl4j.lossfunctions.LossFunction extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  7293731657945995479L
  - Serialized Fields
    - backend
```
org.nd4j.linalg.lossfunctions.ILossFunction backend
```
- Class weka.dl4j.lossfunctions.LossHinge extends LossFunction<org.nd4j.linalg.lossfunctions.impl.LossHinge> implements Serializable
  
  serialVersionUID:
  
  -5144703213734822318L
- Class weka.dl4j.lossfunctions.LossKLD extends LossFunction<org.nd4j.linalg.lossfunctions.impl.LossKLD> implements Serializable
  
  serialVersionUID:
  
  -8491072830196216209L
- Class weka.dl4j.lossfunctions.LossL1 extends LossFunction<org.nd4j.linalg.lossfunctions.impl.LossL1> implements Serializable
  
  serialVersionUID:
  
  -3382950423112635156L
- Class weka.dl4j.lossfunctions.LossL2 extends LossFunction<org.nd4j.linalg.lossfunctions.impl.LossL2> implements Serializable
  
  serialVersionUID:
  
  4284910287483876098L
- Class weka.dl4j.lossfunctions.LossMAE extends org.nd4j.linalg.lossfunctions.impl.LossMAE implements Serializable
  
  serialVersionUID:
  
  -243370347988854843L
- Class weka.dl4j.lossfunctions.LossMAPE extends LossFunction<org.nd4j.linalg.lossfunctions.impl.LossMAPE> implements Serializable
  
  serialVersionUID:
  
  2960939259960582030L
- Class weka.dl4j.lossfunctions.LossMCXENT extends LossFunction<org.nd4j.linalg.lossfunctions.impl.LossMCXENT> implements Serializable
  
  serialVersionUID:
  
  8847850664344345438L
- Class weka.dl4j.lossfunctions.LossMixtureDensity extends LossFunction<org.nd4j.linalg.lossfunctions.impl.LossMixtureDensity> implements Serializable
  
  serialVersionUID:
  
  5254528896658149765L
- Class weka.dl4j.lossfunctions.LossMSE extends LossFunction<org.nd4j.linalg.lossfunctions.impl.LossMSE> implements Serializable
  
  serialVersionUID:
  
  5195053337568658281L
- Class weka.dl4j.lossfunctions.LossMSLE extends LossFunction<org.nd4j.linalg.lossfunctions.impl.LossMSLE> implements Serializable
  
  serialVersionUID:
  
  3569616690662862989L
- Class weka.dl4j.lossfunctions.LossMultiLabel extends LossFunction<org.nd4j.linalg.lossfunctions.impl.LossMultiLabel> implements Serializable
  
  serialVersionUID:
  
  -6659693392260450222L
- Class weka.dl4j.lossfunctions.LossNegativeLogLikelihood extends LossFunction<org.nd4j.linalg.lossfunctions.impl.LossNegativeLogLikelihood> implements Serializable
  
  serialVersionUID:
  
  3210077897420167790L
- Class weka.dl4j.lossfunctions.LossPoisson extends LossFunction<org.nd4j.linalg.lossfunctions.impl.LossPoisson> implements Serializable
  
  serialVersionUID:
  
  3044471426714053370L
- Class weka.dl4j.lossfunctions.LossSquaredHinge extends LossFunction<org.nd4j.linalg.lossfunctions.impl.LossSquaredHinge> implements Serializable
  
  serialVersionUID:
  
  -7605038282659194883L
Package weka.dl4j.schedules
- Class weka.dl4j.schedules.ConstantSchedule extends Schedule<ConstantSchedule.ConstantScheduleImpl> implements Serializable
  
  serialVersionUID:
  
  -6950419697195232864L
- Class weka.dl4j.schedules.ConstantSchedule.ConstantScheduleImpl extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  7134767476736787119L
  - Serialized Fields
    - value
```
double value
```
- Class weka.dl4j.schedules.ExponentialSchedule extends Schedule<org.nd4j.linalg.schedule.ExponentialSchedule> implements Serializable
  
  serialVersionUID:
  
  6445678599059083075L
  - Serialized Fields
    - gamma
```
double gamma
```
- Class weka.dl4j.schedules.InverseSchedule extends Schedule<org.nd4j.linalg.schedule.InverseSchedule> implements Serializable
  
  serialVersionUID:
  
  1840128418738133390L
  - Serialized Fields
    - gamma
```
double gamma
```
    - power
```
double power
```
- Class weka.dl4j.schedules.MapSchedule extends Schedule<org.nd4j.linalg.schedule.MapSchedule> implements Serializable
  
  serialVersionUID:
  
  3282040498224686346L
  - Serialized Fields
    - values
```
java.util.Map<K,V> values
```
- Class weka.dl4j.schedules.PolySchedule extends Schedule<org.nd4j.linalg.schedule.PolySchedule> implements Serializable
  
  serialVersionUID:
  
  1550520224115867571L
  - Serialized Fields
    - power
```
double power
```
    - maxIter
```
int maxIter
```
- Class weka.dl4j.schedules.Schedule extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  5588471135175058051L
  - Serialized Fields
    - scheduleType
```
ScheduleType scheduleType
```
      Schedule type
    - initialValue
```
double initialValue
```
      Initial value
    - backend
```
org.nd4j.linalg.schedule.ISchedule backend
```
      Schedule that is backing the implementation
- Class weka.dl4j.schedules.SigmoidSchedule extends Schedule<org.nd4j.linalg.schedule.SigmoidSchedule> implements Serializable
  
  serialVersionUID:
  
  3282040498224686346L
  - Serialized Fields
    - stepSize
```
int stepSize
```
    - gamma
```
double gamma
```
- Class weka.dl4j.schedules.StepSchedule extends Schedule<org.nd4j.linalg.schedule.StepSchedule> implements Serializable
  
  serialVersionUID:
  
  3282040498224686346L
  - Serialized Fields
    - step
```
double step
```
    - decayRate
```
double decayRate
```
Package weka.dl4j.stepfunctions
- Class weka.dl4j.stepfunctions.DefaultStepFunction extends StepFunction<org.deeplearning4j.nn.conf.stepfunctions.DefaultStepFunction> implements Serializable
  
  serialVersionUID:
  
  -5500643918837817474L
- Class weka.dl4j.stepfunctions.GradientStepFunction extends StepFunction<org.deeplearning4j.nn.conf.stepfunctions.GradientStepFunction> implements Serializable
  
  serialVersionUID:
  
  7139897756483604418L
- Class weka.dl4j.stepfunctions.NegativeDefaultStepFunction extends StepFunction<org.deeplearning4j.nn.conf.stepfunctions.NegativeDefaultStepFunction> implements Serializable
  
  serialVersionUID:
  
  6220424091430751149L
- Class weka.dl4j.stepfunctions.NegativeGradientStepFunction extends StepFunction<org.deeplearning4j.nn.conf.stepfunctions.NegativeGradientStepFunction> implements Serializable
  
  serialVersionUID:
  
  5377422915799056558L
- Class weka.dl4j.stepfunctions.StepFunction extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -5534407859577624757L
  - Serialized Fields
    - backend
```
org.deeplearning4j.nn.conf.stepfunctions.StepFunction backend
```
      StepFunction that is backing the implementation
Package weka.dl4j.text.stopwords
- Class weka.dl4j.text.stopwords.Dl4jAbstractStopwords extends weka.core.stopwords.AbstractStopwords implements Serializable
  
  serialVersionUID:
  
  -2167994358835350653L
- Class weka.dl4j.text.stopwords.Dl4jNull extends Dl4jAbstractStopwords implements Serializable
  
  serialVersionUID:
  
  -9129283649432847013L
  - Serialized Fields
    - stopWords
```
java.util.List<E> stopWords
```
      The list of stopwords.
- Class weka.dl4j.text.stopwords.Dl4jRainbow extends Dl4jAbstractStopwords implements Serializable
  
  serialVersionUID:
  
  -722795295494945193L
  - Serialized Fields
    - stopWords
```
java.util.List<E> stopWords
```
      The hash set containing the list of stopwords.
- Class weka.dl4j.text.stopwords.Dl4jWordsFromFile extends weka.dl4j.text.stopwords.Dl4jAbstractFileBasedStopwords implements Serializable
  
  serialVersionUID:
  
  -722795295494945193L
  - Serialized Fields
    - stopWords
```
java.util.List<E> stopWords
```
      The list of stopwords.
Package weka.dl4j.text.tokenization.preprocessor
- Class weka.dl4j.text.tokenization.preprocessor.CommonPreProcessor extends TokenPreProcess<CommonPreProcessorImpl> implements Serializable
  
  serialVersionUID:
  
  7854676262098995012L
- Class weka.dl4j.text.tokenization.preprocessor.EndingPreProcessor extends TokenPreProcess<EndingPreProcessorImpl> implements Serializable
  
  serialVersionUID:
  
  -7863874149371478868L
- Class weka.dl4j.text.tokenization.preprocessor.LowCasePreProcessor extends TokenPreProcess<LowCasePreProcessorImpl> implements Serializable
  
  serialVersionUID:
  
  -9082424217073308036L
- Class weka.dl4j.text.tokenization.preprocessor.StemmingPreProcessor extends TokenPreProcess<StemmingPreProcessorImpl> implements Serializable
  
  serialVersionUID:
  
  436336311776463684L
  - Serialized Fields
    - stemmer
```
weka.core.stemmers.Stemmer stemmer
```
      A Weka stemmer objet
- Class weka.dl4j.text.tokenization.preprocessor.TokenPreProcess extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  4013807949829115985L
  - Serialized Fields
    - backend
```
org.deeplearning4j.text.tokenization.tokenizer.TokenPreProcess backend
```
      TokenPreProcess that is backing the implementation
Package weka.dl4j.text.tokenization.preprocessor.impl
- Class weka.dl4j.text.tokenization.preprocessor.impl.CommonPreProcessorImpl extends org.deeplearning4j.text.tokenization.tokenizer.preprocessor.CommonPreprocessor implements Serializable
  
  serialVersionUID:
  
  2958298885567597665L
- Class weka.dl4j.text.tokenization.preprocessor.impl.EndingPreProcessorImpl extends org.deeplearning4j.text.tokenization.tokenizer.preprocessor.EndingPreProcessor implements Serializable
  
  serialVersionUID:
  
  2288265894091844988L
- Class weka.dl4j.text.tokenization.preprocessor.impl.LowCasePreProcessorImpl extends org.deeplearning4j.text.tokenization.tokenizer.preprocessor.LowCasePreProcessor implements Serializable
  
  serialVersionUID:
  
  9207934726884484204L
- Class weka.dl4j.text.tokenization.preprocessor.impl.StemmingPreProcessorImpl extends org.deeplearning4j.text.tokenization.tokenizer.preprocessor.CommonPreprocessor implements Serializable
  
  serialVersionUID:
  
  436336311776463684L
  - Serialized Fields
    - stemmer
```
weka.core.stemmers.Stemmer stemmer
```
      A Weka stemmer objet
Package weka.dl4j.text.tokenization.tokenizer
- Class weka.dl4j.text.tokenization.tokenizer.TweetNLPTokenizer extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  4313371978509941373L
  - Serialized Fields
    - tokenPreProcess
```
org.deeplearning4j.text.tokenization.tokenizer.TokenPreProcess tokenPreProcess
```
      The TokenPreProcess Object
    - tokens
```
java.util.List<E> tokens
```
      The list of tokenized tokens
    - iterator
```
java.util.Iterator<E> iterator
```
      The String iterator
- Class weka.dl4j.text.tokenization.tokenizer.WekaTokenizer extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  4026687132223588081L
  - Serialized Fields
    - tokenPreProcess
```
org.deeplearning4j.text.tokenization.tokenizer.TokenPreProcess tokenPreProcess
```
      The TokenPreProcess Object
    - wekaTokenizer
```
weka.core.tokenizers.Tokenizer wekaTokenizer
```
      The Weka Tokenizer Object
    - numTokens
```
int numTokens
```
      The number of tokens
Package weka.dl4j.text.tokenization.tokenizer.factory
- Class weka.dl4j.text.tokenization.tokenizer.factory.CharacterNGramTokenizerFactory extends TokenizerFactory<CharacterNGramTokenizerFactoryImpl> implements Serializable
  
  serialVersionUID:
  
  -3574411395352628655L
- Class weka.dl4j.text.tokenization.tokenizer.factory.DefaultTokenizerFactory extends TokenizerFactory<DefaultTokenizerFactoryImpl> implements Serializable
  
  serialVersionUID:
  
  762619182220458182L
- Class weka.dl4j.text.tokenization.tokenizer.factory.NGramTokenizerFactory extends TokenizerFactory<NGramTokenizerFactoryImpl> implements Serializable
  
  serialVersionUID:
  
  1087235421927714355L
- Class weka.dl4j.text.tokenization.tokenizer.factory.TokenizerFactory extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  4013807949829115985L
  - Serialized Fields
    - backend
```
org.deeplearning4j.text.tokenization.tokenizerfactory.TokenizerFactory backend
```
      TokenizerFactory that is backing the implementation
- Class weka.dl4j.text.tokenization.tokenizer.factory.TweetNLPTokenizerFactory extends TokenizerFactory<TweetNLPTokenizerFactoryImpl> implements Serializable
  
  serialVersionUID:
  
  -4219961945839846195L
Package weka.dl4j.text.tokenization.tokenizer.factory.impl
- Class weka.dl4j.text.tokenization.tokenizer.factory.impl.CharacterNGramTokenizerFactoryImpl extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  4694868790645893109L
  - Serialized Fields
    - nMax
```
int nMax
```
      the maximum number of N
    - nMin
```
int nMin
```
      the minimum number of N
    - tokenPreProcess
```
org.deeplearning4j.text.tokenization.tokenizer.TokenPreProcess tokenPreProcess
```
      The TokenPreProcess object
    - wekaTokenizer
```
weka.core.tokenizers.CharacterNGramTokenizer wekaTokenizer
```
- Class weka.dl4j.text.tokenization.tokenizer.factory.impl.DefaultTokenizerFactoryImpl extends org.deeplearning4j.text.tokenization.tokenizerfactory.DefaultTokenizerFactory implements Serializable
  
  serialVersionUID:
  
  762619182220458182L
- Class weka.dl4j.text.tokenization.tokenizer.factory.impl.NGramTokenizerFactoryImpl extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  4694868790645893109L
  - Serialized Fields
    - nMax
```
int nMax
```
      the maximum number of N
    - nMin
```
int nMin
```
      the minimum number of N
    - delimiters
```
java.lang.String delimiters
```
      Delimiters used in tokenization
    - tokenPreProcess
```
org.deeplearning4j.text.tokenization.tokenizer.TokenPreProcess tokenPreProcess
```
      The TokenPreProcess object
    - wekaTokenizer
```
weka.core.tokenizers.NGramTokenizer wekaTokenizer
```
- Class weka.dl4j.text.tokenization.tokenizer.factory.impl.TweetNLPTokenizerFactoryImpl extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  4694868790645893109L
  - Serialized Fields
    - tokenPreProcess
```
org.deeplearning4j.text.tokenization.tokenizer.TokenPreProcess tokenPreProcess
```
      The TokenPreProcess object
Package weka.dl4j.updater
- Class weka.dl4j.updater.AdaDelta extends Updater<org.nd4j.linalg.learning.config.AdaDelta> implements Serializable
  
  serialVersionUID:
  
  -5776515704843860182L
- Class weka.dl4j.updater.AdaGrad extends Updater<org.nd4j.linalg.learning.config.AdaGrad> implements Serializable
  
  serialVersionUID:
  
  3881105990718165790L
- Class weka.dl4j.updater.Adam extends Updater<org.nd4j.linalg.learning.config.Adam> implements Serializable
  
  serialVersionUID:
  
  667880237656554906L
- Class weka.dl4j.updater.AdaMax extends Updater<org.nd4j.linalg.learning.config.AdaMax> implements Serializable
  
  serialVersionUID:
  
  9196053591015785889L
- Class weka.dl4j.updater.Nadam extends Updater<org.nd4j.linalg.learning.config.Nadam> implements Serializable
  
  serialVersionUID:
  
  4997617718703358847L
- Class weka.dl4j.updater.Nesterovs extends Updater<org.nd4j.linalg.learning.config.Nesterovs> implements Serializable
  
  serialVersionUID:
  
  927121528229628203L
- Class weka.dl4j.updater.NoOp extends Updater<org.nd4j.linalg.learning.config.NoOp> implements Serializable
  
  serialVersionUID:
  
  3503205924392465662L
- Class weka.dl4j.updater.RmsProp extends Updater<org.nd4j.linalg.learning.config.RmsProp> implements Serializable
  
  serialVersionUID:
  
  7400615175279701837L
- Class weka.dl4j.updater.Sgd extends Updater<org.nd4j.linalg.learning.config.Sgd> implements Serializable
  
  serialVersionUID:
  
  1852959048173443658L
- Class weka.dl4j.updater.Updater extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -7446042621087079745L
  - Serialized Fields
    - backend
```
org.nd4j.linalg.learning.config.IUpdater backend
```
      Backing IUpdater object
    - learningRateSchedule
```
Schedule<T extends org.nd4j.linalg.schedule.ISchedule> learningRateSchedule
```
      Learning rate schedule
    - learningRate
```
double learningRate
```
      Learning rate
Package weka.dl4j.weightnoise
- Class weka.dl4j.weightnoise.AbstractWeightNoise extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  910666004504402198L
  - Serialized Fields
    - backend
```
org.deeplearning4j.nn.conf.weightnoise.IWeightNoise backend
```
- Class weka.dl4j.weightnoise.Disabled extends AbstractWeightNoise implements Serializable
  
  serialVersionUID:
  
  4568626187488846101L
- Class weka.dl4j.weightnoise.DropConnect extends AbstractWeightNoise<org.deeplearning4j.nn.conf.weightnoise.DropConnect> implements Serializable
  
  serialVersionUID:
  
  -8153032592556766929L
- Class weka.dl4j.weightnoise.WeightNoise extends AbstractWeightNoise<org.deeplearning4j.nn.conf.weightnoise.WeightNoise> implements Serializable
  
  serialVersionUID:
  
  7880719223147030268L
Package weka.dl4j.zoo
- Class weka.dl4j.zoo.AbstractZooModel extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -4598529061609767660L
  - Serialized Fields
    - m_pretrainedType
```
PretrainedType m_pretrainedType
```
      Dataset that the pretrained weights are trained on.
    - m_outputLayer
```
java.lang.String m_outputLayer
```
      Output layer of the model to be taken off (and replace by our custom output layer).
    - m_featureExtractionLayer
```
java.lang.String m_featureExtractionLayer
```
      Feature extraction layer of the model (which we'll attach our output layer to) and use for feature extraction.
    - m_predictionLayerName
```
java.lang.String m_predictionLayerName
```
      Name of the output layer we attach to the end of the model.
    - m_extraLayersToRemove
```
java.lang.String[] m_extraLayersToRemove
```
      Names of extraneous layers to completely remove (doesn't keep the weights of them).
    - m_numFExtractOutputs
```
int m_numFExtractOutputs
```
      Number of dimensions of the feature extraction layer.
    - seed
```
long seed
```
      Random seed.
    - numLabels
```
long numLabels
```
      Number of output labels we want to classify on.
    - filterMode
```
boolean filterMode
```
      Are we loading this model for use as feature extractor (no need to add output layer).
    - requiresPooling
```
boolean requiresPooling
```
      Do the activations from featureLayer require pooling (too high dimensionality).
    - channelsLast
```
boolean channelsLast
```
      Is the model in channels-last order? (i.e. data must come in [minibatch, height, width, channels] instead of the default [minibatch, channels, height, width]
- Class weka.dl4j.zoo.CustomNet extends AbstractZooModel implements Serializable
  
  serialVersionUID:
  
  -1211860593883280761L
- Class weka.dl4j.zoo.Dl4jAlexNet extends AbstractZooModel implements Serializable
  
  serialVersionUID:
  
  1650928023723447528L
- Class weka.dl4j.zoo.Dl4jDarknet19 extends AbstractZooModel implements Serializable
  
  serialVersionUID:
  
  7854379460490744564L
  - Serialized Fields
    - m_variation
```
Dl4jDarknet19.VARIATION m_variation
```
      Desired version of the model.
- Class weka.dl4j.zoo.Dl4jFaceNetNN4Small2 extends AbstractZooModel implements Serializable
  
  serialVersionUID:
  
  -3489424545896301678L
- Class weka.dl4j.zoo.Dl4jInceptionResNetV1 extends AbstractZooModel implements Serializable
  
  serialVersionUID:
  
  -9139462134170258014L
- Class weka.dl4j.zoo.Dl4jLeNet extends AbstractZooModel implements Serializable
  
  serialVersionUID:
  
  1656653625527283532L
- Class weka.dl4j.zoo.Dl4jResNet50 extends AbstractZooModel implements Serializable
  
  serialVersionUID:
  
  6012647103023109618L
- Class weka.dl4j.zoo.Dl4jSqueezeNet extends AbstractZooModel implements Serializable
  
  serialVersionUID:
  
  -9163009640895595245L
- Class weka.dl4j.zoo.Dl4jVGG extends AbstractZooModel implements Serializable
  
  serialVersionUID:
  
  -4741420712433849216L
  - Serialized Fields
    - m_variation
```
VGG.VARIATION m_variation
```
      Desired version of the model.
- Class weka.dl4j.zoo.Dl4jXception extends AbstractZooModel implements Serializable
  
  serialVersionUID:
  
  -4927205727389940364L
- Class weka.dl4j.zoo.KerasDenseNet extends AbstractZooModel implements Serializable
  
  serialVersionUID:
  
  4978029404997176050L
  - Serialized Fields
    - variation
```
DenseNet.VARIATION variation
```
      Desired version of the model.
- Class weka.dl4j.zoo.KerasEfficientNet extends AbstractZooModel implements Serializable
  
  serialVersionUID:
  
  -7261085237958094389L
  - Serialized Fields
    - variation
```
EfficientNet.VARIATION variation
```
      Desired version of the model.
- Class weka.dl4j.zoo.KerasInceptionV3 extends AbstractZooModel implements Serializable
  
  serialVersionUID:
  
  4695067559456124034L
  - Serialized Fields
    - variation
```
InceptionV3.VARIATION variation
```
      Desired version of the model.
- Class weka.dl4j.zoo.KerasNASNet extends AbstractZooModel implements Serializable
  
  serialVersionUID:
  
  -6046846303686819108L
  - Serialized Fields
    - variation
```
NASNet.VARIATION variation
```
      Desired version of the model.
- Class weka.dl4j.zoo.KerasResNet extends AbstractZooModel implements Serializable
  
  serialVersionUID:
  
  5525252856492208127L
  - Serialized Fields
    - variation
```
ResNet.VARIATION variation
```
      Desired version of the model.
- Class weka.dl4j.zoo.KerasVGG extends AbstractZooModel implements Serializable
  
  serialVersionUID:
  
  4745962510013669482L
  - Serialized Fields
    - variation
```
VGG.VARIATION variation
```
      Desired version of the model.
- Class weka.dl4j.zoo.KerasXception extends AbstractZooModel implements Serializable
  
  serialVersionUID:
  
  -6899732453136761839L
  - Serialized Fields
    - variation
```
Xception.VARIATION variation
```
      Desired version of the model.
Package weka.dl4j.zoo.keras
- Class weka.dl4j.zoo.keras.DenseNet extends KerasZooModel implements Serializable
  
  serialVersionUID:
  
  982160047744739299L
  - Serialized Fields
    - m_variation
```
DenseNet.VARIATION m_variation
```
      Default variation of the model.
- Class weka.dl4j.zoo.keras.EfficientNet extends KerasZooModel implements Serializable
  
  serialVersionUID:
  
  -3638980669539385867L
  - Serialized Fields
    - m_variation
```
EfficientNet.VARIATION m_variation
```
      Default variation of the model.
- Class weka.dl4j.zoo.keras.InceptionResNetV2 extends KerasZooModel implements Serializable
  
  serialVersionUID:
  
  7648403112324512260L
  - Serialized Fields
    - m_variation
```
InceptionResNetV2.VARIATION m_variation
```
      Default variation of the model.
- Class weka.dl4j.zoo.keras.InceptionV3 extends KerasZooModel implements Serializable
  
  serialVersionUID:
  
  -3697352145124549273L
  - Serialized Fields
    - m_variation
```
InceptionV3.VARIATION m_variation
```
      Default variation of the model.
- Class weka.dl4j.zoo.keras.KerasZooModel extends org.deeplearning4j.zoo.ZooModel implements Serializable
  
  serialVersionUID:
  
  -7117367016579062724L
  - Serialized Fields
    - inputShape
```
int[] inputShape
```
      Default input shape.
- Class weka.dl4j.zoo.keras.MobileNet extends KerasZooModel implements Serializable
  
  serialVersionUID:
  
  -5326817943250936967L
  - Serialized Fields
    - m_variation
```
MobileNet.VARIATION m_variation
```
      Default variation of the model.
- Class weka.dl4j.zoo.keras.NASNet extends KerasZooModel implements Serializable
  
  serialVersionUID:
  
  -8106239516237343141L
  - Serialized Fields
    - m_variation
```
NASNet.VARIATION m_variation
```
      Default variation of the model.
- Class weka.dl4j.zoo.keras.ResNet extends KerasZooModel implements Serializable
  
  serialVersionUID:
  
  5315928260273073018L
  - Serialized Fields
    - m_variation
```
ResNet.VARIATION m_variation
```
      Default variation of the model.
- Class weka.dl4j.zoo.keras.VGG extends KerasZooModel implements Serializable
  
  serialVersionUID:
  
  3908733587819287902L
  - Serialized Fields
    - m_variation
```
VGG.VARIATION m_variation
```
      Default variation of the model.
- Class weka.dl4j.zoo.keras.Xception extends KerasZooModel implements Serializable
  
  serialVersionUID:
  
  -5423178061075685025L
  - Serialized Fields
    - m_variation
```
Xception.VARIATION m_variation
```
      Default variation of the model.
Package weka.filters.unsupervised.attribute
- Class weka.filters.unsupervised.attribute.AbstractTimeSeries extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  -3795656792078022357L
  - Serialized Fields
    - m_SelectedCols
```
weka.core.Range m_SelectedCols
```
    - m_FillWithMissing
```
boolean m_FillWithMissing
```
    - m_InstanceRange
```
int m_InstanceRange
```
    - m_History
```
weka.core.Queue m_History
```
- Class weka.filters.unsupervised.attribute.Add extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  761386447332932389L
  - Serialized Fields
    - m_AttributeType
```
int m_AttributeType
```
    - m_Name
```
java.lang.String m_Name
```
    - m_Insert
```
weka.core.SingleIndex m_Insert
```
    - m_Labels
```
java.util.ArrayList<E> m_Labels
```
    - m_DateFormat
```
java.lang.String m_DateFormat
```
    - m_Weight
```
double m_Weight
```
- Class weka.filters.unsupervised.attribute.AddCluster extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  7414280611943807337L
  - Serialized Fields
    - m_Clusterer
```
weka.clusterers.Clusterer m_Clusterer
```
    - m_SerializedClustererFile
```
java.io.File m_SerializedClustererFile
```
    - m_ActualClusterer
```
weka.clusterers.Clusterer m_ActualClusterer
```
    - m_IgnoreAttributesRange
```
weka.core.Range m_IgnoreAttributesRange
```
    - m_removeAttributes
```
weka.filters.Filter m_removeAttributes
```
- Class weka.filters.unsupervised.attribute.AddExpression extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  402130384261736245L
  - Serialized Fields
    - m_infixExpression
```
java.lang.String m_infixExpression
```
    - m_attributeName
```
java.lang.String m_attributeName
```
    - m_Debug
```
boolean m_Debug
```
    - m_Expression
```
weka.core.expressionlanguage.common.Primitives.DoubleExpression m_Expression
```
    - m_InstancesHelper
```
weka.core.expressionlanguage.weka.InstancesHelper m_InstancesHelper
```
- Class weka.filters.unsupervised.attribute.AddID extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  4734383199819293390L
  - Serialized Fields
    - m_Index
```
weka.core.SingleIndex m_Index
```
    - m_Name
```
java.lang.String m_Name
```
    - m_Counter
```
int m_Counter
```
- Class weka.filters.unsupervised.attribute.AddNoise extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  -8499673222857299082L
  - Serialized Fields
    - m_AttIndex
```
weka.core.SingleIndex m_AttIndex
```
    - m_UseMissing
```
boolean m_UseMissing
```
    - m_Percent
```
int m_Percent
```
    - m_RandomSeed
```
int m_RandomSeed
```
- Class weka.filters.unsupervised.attribute.AddUserFields extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  -2761427344847891585L
  - Serialized Fields
    - m_attributeSpecs
```
java.util.List<E> m_attributeSpecs
```
- Class weka.filters.unsupervised.attribute.AddUserFields.AttributeSpec extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -617328946241474608L
  - Serialized Fields
    - m_name
```
java.lang.String m_name
```
    - m_value
```
java.lang.String m_value
```
    - m_type
```
java.lang.String m_type
```
    - m_nameS
```
java.lang.String m_nameS
```
    - m_valueS
```
java.lang.String m_valueS
```
    - m_typeS
```
java.lang.String m_typeS
```
    - m_dateFormat
```
java.text.SimpleDateFormat m_dateFormat
```
    - m_parsedDate
```
java.util.Date m_parsedDate
```
- Class weka.filters.unsupervised.attribute.AddValues extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  -8100622241742393656L
  - Serialized Fields
    - m_AttIndex
```
weka.core.SingleIndex m_AttIndex
```
    - m_Labels
```
java.util.ArrayList<E> m_Labels
```
    - m_Sort
```
boolean m_Sort
```
    - m_SortedIndices
```
int[] m_SortedIndices
```
- Class weka.filters.unsupervised.attribute.CartesianProduct extends weka.filters.SimpleBatchFilter implements Serializable
  
  serialVersionUID:
  
  -227979753639722020L
  - Serialized Fields
    - m_Attributes
```
weka.core.Range m_Attributes
```
- Class weka.filters.unsupervised.attribute.Center extends weka.filters.unsupervised.attribute.PotentialClassIgnorer implements Serializable
  
  serialVersionUID:
  
  -9101338448900581023L
  - Serialized Fields
    - m_Means
```
double[] m_Means
```
- Class weka.filters.unsupervised.attribute.ChangeDateFormat extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  -1609344074013448737L
  - Serialized Fields
    - m_AttIndex
```
weka.core.SingleIndex m_AttIndex
```
    - m_DateFormat
```
java.text.SimpleDateFormat m_DateFormat
```
    - m_OutputAttribute
```
weka.core.Attribute m_OutputAttribute
```
- Class weka.filters.unsupervised.attribute.ClassAssigner extends weka.filters.SimpleStreamFilter implements Serializable
  
  serialVersionUID:
  
  1775780193887394115L
  - Serialized Fields
    - m_ClassIndex
```
int m_ClassIndex
```
- Class weka.filters.unsupervised.attribute.ClusterMembership extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  6675702504667714026L
  - Serialized Fields
    - m_clusterer
```
weka.clusterers.DensityBasedClusterer m_clusterer
```
    - m_clusterers
```
weka.clusterers.DensityBasedClusterer[] m_clusterers
```
    - m_ignoreAttributesRange
```
weka.core.Range m_ignoreAttributesRange
```
    - m_removeAttributes
```
weka.filters.Filter m_removeAttributes
```
    - m_priors
```
double[] m_priors
```
- Class weka.filters.unsupervised.attribute.Copy extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  -8543707493627441566L
  - Serialized Fields
    - m_CopyCols
```
weka.core.Range m_CopyCols
```
    - m_SelectedAttributes
```
int[] m_SelectedAttributes
```
- Class weka.filters.unsupervised.attribute.DateToNumeric extends weka.filters.SimpleBatchFilter implements Serializable
  
  serialVersionUID:
  
  -6614650822291796239L
  - Serialized Fields
    - m_Cols
```
weka.core.Range m_Cols
```
    - m_DefaultCols
```
java.lang.String m_DefaultCols
```
- Class weka.filters.unsupervised.attribute.Discretize extends weka.filters.unsupervised.attribute.PotentialClassIgnorer implements Serializable
  
  serialVersionUID:
  
  -1358531742174527279L
  - Serialized Fields
    - m_DiscretizeCols
```
weka.core.Range m_DiscretizeCols
```
    - m_NumBins
```
int m_NumBins
```
    - m_DesiredWeightOfInstancesPerInterval
```
double m_DesiredWeightOfInstancesPerInterval
```
    - m_CutPoints
```
double[][] m_CutPoints
```
    - m_MakeBinary
```
boolean m_MakeBinary
```
    - m_UseBinNumbers
```
boolean m_UseBinNumbers
```
    - m_FindNumBins
```
boolean m_FindNumBins
```
    - m_UseEqualFrequency
```
boolean m_UseEqualFrequency
```
    - m_DefaultCols
```
java.lang.String m_DefaultCols
```
    - m_BinRangePrecision
```
int m_BinRangePrecision
```
    - m_SpreadAttributeWeight
```
boolean m_SpreadAttributeWeight
```
- Class weka.filters.unsupervised.attribute.Dl4jMlpFilter extends weka.filters.SimpleBatchFilter implements Serializable
  
  serialVersionUID:
  
  1317698787337080580L
  - Serialized Fields
    - serializedModelFile
```
java.io.File serializedModelFile
```
      The classifier model this filter is based on.
    - zooModelType
```
AbstractZooModel zooModelType
```
      The zoo model to use, if we're not loading from the serialized model file.
    - instanceIterator
```
AbstractInstanceIterator instanceIterator
```
      The image instance iterator to use.
    - poolingType
```
PoolingType poolingType
```
      The pooling function to use if taking activations from an intermediary convolution layer (instead of the already-pooled output layer).
    - transformationLayers
```
DenseLayer[] transformationLayers
```
      Layer names of the layer which is used to get the outputs from.
    - model
```
Dl4jMlpClassifier model
```
      Model used for feature extraction.
    - useDefaultFeatureLayer
```
boolean useDefaultFeatureLayer
```
      Flag for the GUI to set whether or not default feature extraction layer should be loaded.
- Class weka.filters.unsupervised.attribute.Dl4jStringToWord2Vec extends Dl4jStringToWordEmbeddings implements Serializable
  
  serialVersionUID:
  
  -1767367935663656698L
  - Serialized Fields
    - learningRate
```
double learningRate
```
      The learning rate
    - minLearningRate
```
double minLearningRate
```
      The minimum learning rate
    - useAdaGrad
```
boolean useAdaGrad
```
      True for using adaptive gradients
    - batchSize
```
int batchSize
```
      The mini batch size
    - negativeSamplingValue
```
double negativeSamplingValue
```
      The negativeSamplingValue sampling value for skip-gram algorithm.
    - useHierarchicSoftmax
```
boolean useHierarchicSoftmax
```
      Enable/disable hierarchic softmax
    - subSamplingThres
```
double subSamplingThres
```
      The sub-sampling threshold.
    - allowParallelTokenization
```
boolean allowParallelTokenization
```
      Enables/disables parallel tokenization.
    - enableScavenger
```
boolean enableScavenger
```
      Enables/disables periodical vocab truncation during construction.
- Class weka.filters.unsupervised.attribute.Dl4jStringToWordEmbeddings extends weka.filters.SimpleBatchFilter implements Serializable
  
  serialVersionUID:
  
  3748678887246129719L
  - Serialized Fields
    - vec
```
org.deeplearning4j.models.sequencevectors.SequenceVectors<T extends org.deeplearning4j.models.sequencevectors.sequence.SequenceElement> vec
```
      The object where word embeddings are stored
    - embeddingPrefix
```
java.lang.String embeddingPrefix
```
      Prefix for embedding attributes
    - concatWords
```
int concatWords
```
      Number of stopWords (from left to right) of the tweet whose embeddings will be concatenated.
    - action
```
weka.filters.unsupervised.attribute.Dl4jStringToWordEmbeddings.Action action
```
      Action to perform on the embeddings. This action will define whether word or document vectors are produced.
    - preprocessor
```
TokenPreProcess<T extends org.deeplearning4j.text.tokenization.tokenizer.TokenPreProcess> preprocessor
```
      The TokenPreProcess object
    - tokenizerFactory
```
TokenizerFactory<T extends org.deeplearning4j.text.tokenization.tokenizerfactory.TokenizerFactory> tokenizerFactory
```
      The TokenizerFactory object
    - stopWordsHandler
```
Dl4jAbstractStopwords stopWordsHandler
```
      The Stopwords class
    - epochs
```
int epochs
```
      The number of epochs
    - workers
```
int workers
```
      The maximum number of concurrent threads available for training.
    - textIndex
```
int textIndex
```
      the index of the string attribute to be processed.
    - minWordFrequency
```
int minWordFrequency
```
      the minimum frequency of a word to be considered.
    - layerSize
```
int layerSize
```
      the layer size.
    - iterations
```
int iterations
```
      the number of iterations
    - windowSize
```
int windowSize
```
      the size of the window.
    - seed
```
int seed
```
      Random number seed
- Class weka.filters.unsupervised.attribute.FirstOrder extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  -7500464545400454179L
  - Serialized Fields
    - m_DeltaCols
```
weka.core.Range m_DeltaCols
```
- Class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector extends weka.filters.SimpleStreamFilter implements Serializable
  
  serialVersionUID:
  
  7990892846966916757L
  - Serialized Fields
    - m_vectorizer
```
weka.core.DictionaryBuilder m_vectorizer
```
    - m_dictionaryFile
```
java.io.File m_dictionaryFile
```
    - m_dictionaryIsBinary
```
boolean m_dictionaryIsBinary
```
- Class weka.filters.unsupervised.attribute.InterquartileRange extends weka.filters.SimpleBatchFilter implements Serializable
  
  serialVersionUID:
  
  -227879653639723030L
  - Serialized Fields
    - m_Attributes
```
weka.core.Range m_Attributes
```
    - m_AttributeIndices
```
int[] m_AttributeIndices
```
    - m_OutlierFactor
```
double m_OutlierFactor
```
    - m_ExtremeValuesFactor
```
double m_ExtremeValuesFactor
```
    - m_ExtremeValuesAsOutliers
```
boolean m_ExtremeValuesAsOutliers
```
    - m_UpperExtremeValue
```
double[] m_UpperExtremeValue
```
    - m_UpperOutlier
```
double[] m_UpperOutlier
```
    - m_LowerOutlier
```
double[] m_LowerOutlier
```
    - m_IQR
```
double[] m_IQR
```
    - m_Median
```
double[] m_Median
```
    - m_LowerExtremeValue
```
double[] m_LowerExtremeValue
```
    - m_DetectionPerAttribute
```
boolean m_DetectionPerAttribute
```
    - m_OutlierAttributePosition
```
int[] m_OutlierAttributePosition
```
    - m_OutputOffsetMultiplier
```
boolean m_OutputOffsetMultiplier
```
- Class weka.filters.unsupervised.attribute.KernelFilter extends weka.filters.SimpleBatchFilter implements Serializable
  
  serialVersionUID:
  
  213800899640387499L
  - Serialized Fields
    - m_NumTrainInstances
```
int m_NumTrainInstances
```
    - m_Kernel
```
weka.classifiers.functions.supportVector.Kernel m_Kernel
```
    - m_ActualKernel
```
weka.classifiers.functions.supportVector.Kernel m_ActualKernel
```
    - m_checksTurnedOff
```
boolean m_checksTurnedOff
```
    - m_NominalToBinary
```
weka.filters.unsupervised.attribute.NominalToBinary m_NominalToBinary
```
    - m_Missing
```
weka.filters.unsupervised.attribute.ReplaceMissingValues m_Missing
```
    - m_InitFile
```
java.io.File m_InitFile
```
    - m_InitFileClassIndex
```
weka.core.SingleIndex m_InitFileClassIndex
```
    - m_Initialized
```
boolean m_Initialized
```
    - m_KernelFactorExpression
```
java.lang.String m_KernelFactorExpression
```
    - m_KernelFactor
```
double m_KernelFactor
```
    - m_Filter
```
weka.filters.Filter m_Filter
```
    - m_ActualFilter
```
weka.filters.Filter m_ActualFilter
```
- Class weka.filters.unsupervised.attribute.MakeIndicator extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  766001176862773163L
  - Serialized Fields
    - m_AttIndex
```
weka.core.SingleIndex m_AttIndex
```
    - m_ValIndex
```
weka.core.Range m_ValIndex
```
    - m_Numeric
```
boolean m_Numeric
```
- Class weka.filters.unsupervised.attribute.MathExpression extends weka.filters.unsupervised.attribute.PotentialClassIgnorer implements Serializable
  
  serialVersionUID:
  
  -3713222714671997901L
  - Serialized Fields
    - m_SelectCols
```
weka.core.Range m_SelectCols
```
    - m_expression
```
java.lang.String m_expression
```
    - m_CompiledExpression
```
weka.core.expressionlanguage.common.Primitives.DoubleExpression m_CompiledExpression
```
    - m_attStats
```
weka.experiment.Stats[] m_attStats
```
    - m_InstancesHelper
```
weka.core.expressionlanguage.weka.InstancesHelper m_InstancesHelper
```
    - m_StatsHelper
```
weka.core.expressionlanguage.weka.StatsHelper m_StatsHelper
```
    - m_CurrentValue
```
weka.core.expressionlanguage.common.SimpleVariableDeclarations.VariableInitializer m_CurrentValue
```
- Class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues extends weka.filters.SimpleBatchFilter implements Serializable
  
  serialVersionUID:
  
  4444337331921333847L
  - Serialized Fields
    - m_MinimumFrequency
```
int m_MinimumFrequency
```
    - m_SelectCols
```
weka.core.Range m_SelectCols
```
    - m_SelectedAttributes
```
int[] m_SelectedAttributes
```
    - m_AttToBeModified
```
boolean[] m_AttToBeModified
```
    - m_NewValues
```
int[][] m_NewValues
```
    - m_UseShortIDs
```
boolean m_UseShortIDs
```
- Class weka.filters.unsupervised.attribute.MergeManyValues extends weka.filters.unsupervised.attribute.PotentialClassIgnorer implements Serializable
  
  serialVersionUID:
  
  4649332102154713625L
  - Serialized Fields
    - m_AttIndex
```
weka.core.SingleIndex m_AttIndex
```
    - m_Label
```
java.lang.String m_Label
```
    - m_MergeRange
```
weka.core.Range m_MergeRange
```
- Class weka.filters.unsupervised.attribute.MergeTwoValues extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  2925048980504034018L
  - Serialized Fields
    - m_AttIndex
```
weka.core.SingleIndex m_AttIndex
```
    - m_FirstIndex
```
weka.core.SingleIndex m_FirstIndex
```
    - m_SecondIndex
```
weka.core.SingleIndex m_SecondIndex
```
- Class weka.filters.unsupervised.attribute.NominalToBinary extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  -1130642825710549138L
  - Serialized Fields
    - m_Columns
```
weka.core.Range m_Columns
```
    - m_Numeric
```
boolean m_Numeric
```
    - m_TransformAll
```
boolean m_TransformAll
```
    - m_needToTransform
```
boolean m_needToTransform
```
    - m_SpreadAttributeWeight
```
boolean m_SpreadAttributeWeight
```
- Class weka.filters.unsupervised.attribute.NominalToString extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  8655492378380068939L
  - Serialized Fields
    - m_AttIndex
```
weka.core.Range m_AttIndex
```
- Class weka.filters.unsupervised.attribute.Normalize extends weka.filters.unsupervised.attribute.PotentialClassIgnorer implements Serializable
  
  serialVersionUID:
  
  -8158531150984362898L
  - Serialized Fields
    - m_MinArray
```
double[] m_MinArray
```
    - m_MaxArray
```
double[] m_MaxArray
```
    - m_Translation
```
double m_Translation
```
    - m_Scale
```
double m_Scale
```
- Class weka.filters.unsupervised.attribute.NumericCleaner extends weka.filters.SimpleStreamFilter implements Serializable
  
  serialVersionUID:
  
  -352890679895066592L
  - Serialized Fields
    - m_MinThreshold
```
double m_MinThreshold
```
    - m_MinDefault
```
double m_MinDefault
```
    - m_MaxThreshold
```
double m_MaxThreshold
```
    - m_MaxDefault
```
double m_MaxDefault
```
    - m_CloseTo
```
double m_CloseTo
```
    - m_CloseToDefault
```
double m_CloseToDefault
```
    - m_CloseToTolerance
```
double m_CloseToTolerance
```
    - m_Cols
```
weka.core.Range m_Cols
```
    - m_IncludeClass
```
boolean m_IncludeClass
```
    - m_Decimals
```
int m_Decimals
```
- Class weka.filters.unsupervised.attribute.NumericToBinary extends weka.filters.unsupervised.attribute.PotentialClassIgnorer implements Serializable
  
  serialVersionUID:
  
  2616879323359470802L
  - Serialized Fields
    - m_Cols
```
weka.core.Range m_Cols
```
    - m_DefaultCols
```
java.lang.String m_DefaultCols
```
- Class weka.filters.unsupervised.attribute.NumericToDate extends weka.filters.SimpleBatchFilter implements Serializable
  
  serialVersionUID:
  
  -6514657821295776239L
  - Serialized Fields
    - m_Cols
```
weka.core.Range m_Cols
```
    - m_DefaultCols
```
java.lang.String m_DefaultCols
```
    - m_DateFormat
```
java.text.SimpleDateFormat m_DateFormat
```
- Class weka.filters.unsupervised.attribute.NumericToNominal extends weka.filters.SimpleBatchFilter implements Serializable
  
  serialVersionUID:
  
  -6614630932899796239L
  - Serialized Fields
    - m_Cols
```
weka.core.Range m_Cols
```
    - m_DefaultCols
```
java.lang.String m_DefaultCols
```
- Class weka.filters.unsupervised.attribute.NumericTransform extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  -8561413333351366934L
  - Serialized Fields
    - m_Cols
```
weka.core.Range m_Cols
```
    - m_Class
```
java.lang.String m_Class
```
    - m_Method
```
java.lang.String m_Method
```
- Class weka.filters.unsupervised.attribute.Obfuscate extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  -343922772462971561L
- Class weka.filters.unsupervised.attribute.OrdinalToNumeric extends weka.filters.unsupervised.attribute.PotentialClassIgnorer implements Serializable
  
  serialVersionUID:
  
  -5199516576940135696L
  - Serialized Fields
    - m_selectedRange
```
weka.core.Range m_selectedRange
```
    - m_range
```
java.lang.String m_range
```
    - m_resolvedRange
```
java.lang.String m_resolvedRange
```
- Class weka.filters.unsupervised.attribute.PartitionedMultiFilter extends weka.filters.SimpleBatchFilter implements Serializable
  
  serialVersionUID:
  
  -6293720886005713120L
  - Serialized Fields
    - m_Filters
```
weka.filters.Filter[] m_Filters
```
    - m_Ranges
```
weka.core.Range[] m_Ranges
```
    - m_RemoveUnused
```
boolean m_RemoveUnused
```
    - m_IndicesUnused
```
int[] m_IndicesUnused
```
- Class weka.filters.unsupervised.attribute.PKIDiscretize extends weka.filters.unsupervised.attribute.Discretize implements Serializable
  
  serialVersionUID:
  
  6153101248977702675L
- Class weka.filters.unsupervised.attribute.PotentialClassIgnorer extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  8625371119276845454L
  - Serialized Fields
    - m_IgnoreClass
```
boolean m_IgnoreClass
```
    - m_ClassIndex
```
int m_ClassIndex
```
- Class weka.filters.unsupervised.attribute.PrincipalComponents extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  -5649876869480249303L
  - Serialized Fields
    - m_TrainInstances
```
weka.core.Instances m_TrainInstances
```
    - m_TrainCopy
```
weka.core.Instances m_TrainCopy
```
    - m_TransformedFormat
```
weka.core.Instances m_TransformedFormat
```
    - m_HasClass
```
boolean m_HasClass
```
    - m_ClassIndex
```
int m_ClassIndex
```
    - m_NumAttribs
```
int m_NumAttribs
```
    - m_NumInstances
```
int m_NumInstances
```
    - m_Correlation
```
no.uib.cipr.matrix.UpperSymmDenseMatrix m_Correlation
```
    - m_center
```
boolean m_center
```
    - m_Eigenvectors
```
double[][] m_Eigenvectors
```
    - m_Eigenvalues
```
double[] m_Eigenvalues
```
    - m_SortedEigens
```
int[] m_SortedEigens
```
    - m_SumOfEigenValues
```
double m_SumOfEigenValues
```
    - m_ReplaceMissingFilter
```
weka.filters.unsupervised.attribute.ReplaceMissingValues m_ReplaceMissingFilter
```
    - m_NominalToBinaryFilter
```
weka.filters.unsupervised.attribute.NominalToBinary m_NominalToBinaryFilter
```
    - m_AttributeFilter
```
weka.filters.unsupervised.attribute.Remove m_AttributeFilter
```
    - m_standardizeFilter
```
weka.filters.unsupervised.attribute.Standardize m_standardizeFilter
```
    - m_centerFilter
```
weka.filters.unsupervised.attribute.Center m_centerFilter
```
    - m_OutputNumAtts
```
int m_OutputNumAtts
```
    - m_CoverVariance
```
double m_CoverVariance
```
    - m_MaxAttrsInName
```
int m_MaxAttrsInName
```
    - m_MaxAttributes
```
int m_MaxAttributes
```
- Class weka.filters.unsupervised.attribute.RandomProjection extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  4428905532728645880L
  - Serialized Fields
    - m_k
```
int m_k
```
    - m_percent
```
double m_percent
```
    - m_distribution
```
int m_distribution
```
    - m_useReplaceMissing
```
boolean m_useReplaceMissing
```
    - m_OutputFormatDefined
```
boolean m_OutputFormatDefined
```
    - m_ntob
```
weka.filters.Filter m_ntob
```
    - m_replaceMissing
```
weka.filters.Filter m_replaceMissing
```
    - m_rndmSeed
```
int m_rndmSeed
```
    - m_rmatrix
```
double[][] m_rmatrix
```
    - m_random
```
java.util.Random m_random
```
- Class weka.filters.unsupervised.attribute.RandomSubset extends weka.filters.SimpleBatchFilter implements Serializable
  
  serialVersionUID:
  
  2911221724251628050L
  - Serialized Fields
    - m_NumAttributes
```
double m_NumAttributes
```
    - m_Seed
```
int m_Seed
```
    - m_Indices
```
int[] m_Indices
```
    - m_invertSelection
```
boolean m_invertSelection
```
- Class weka.filters.unsupervised.attribute.Remove extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  5011337331921522847L
  - Serialized Fields
    - m_SelectCols
```
weka.core.Range m_SelectCols
```
    - m_SelectedAttributes
```
int[] m_SelectedAttributes
```
- Class weka.filters.unsupervised.attribute.RemoveByName extends weka.filters.SimpleStreamFilter implements Serializable
  
  serialVersionUID:
  
  -3335106965521265631L
  - Serialized Fields
    - m_Expression
```
java.lang.String m_Expression
```
    - m_InvertSelection
```
boolean m_InvertSelection
```
    - m_Remove
```
weka.filters.unsupervised.attribute.Remove m_Remove
```
- Class weka.filters.unsupervised.attribute.RemoveType extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  -3563999462782486279L
  - Serialized Fields
    - m_attributeFilter
```
weka.filters.unsupervised.attribute.Remove m_attributeFilter
```
    - m_attTypeToDelete
```
int m_attTypeToDelete
```
    - m_invert
```
boolean m_invert
```
- Class weka.filters.unsupervised.attribute.RemoveUseless extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  -8659417851407640038L
  - Serialized Fields
    - m_removeFilter
```
weka.filters.unsupervised.attribute.Remove m_removeFilter
```
    - m_maxVariancePercentage
```
double m_maxVariancePercentage
```
- Class weka.filters.unsupervised.attribute.RenameAttribute extends weka.filters.SimpleStreamFilter implements Serializable
  
  serialVersionUID:
  
  4216491776378279596L
  - Serialized Fields
    - m_Find
```
java.lang.String m_Find
```
    - m_Replace
```
java.lang.String m_Replace
```
    - m_AttributeIndices
```
weka.core.Range m_AttributeIndices
```
    - m_ReplaceAll
```
boolean m_ReplaceAll
```
- Class weka.filters.unsupervised.attribute.RenameNominalValues extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  -2121767582746512209L
  - Serialized Fields
    - m_selectedColsString
```
java.lang.String m_selectedColsString
```
    - m_selectedCols
```
weka.core.Range m_selectedCols
```
    - m_renameVals
```
java.lang.String m_renameVals
```
    - m_ignoreCase
```
boolean m_ignoreCase
```
    - m_invert
```
boolean m_invert
```
    - m_selectedAttributes
```
int[] m_selectedAttributes
```
    - m_renameMap
```
java.util.Map<K,V> m_renameMap
```
- Class weka.filters.unsupervised.attribute.Reorder extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  -1135571321097202292L
  - Serialized Fields
    - m_NewOrderCols
```
java.lang.String m_NewOrderCols
```
    - m_SelectedAttributes
```
int[] m_SelectedAttributes
```
    - m_InputStringIndex
```
int[] m_InputStringIndex
```
    - m_setAllAttributeWeightsToOne
```
boolean m_setAllAttributeWeightsToOne
```
- Class weka.filters.unsupervised.attribute.ReplaceMissingValues extends weka.filters.unsupervised.attribute.PotentialClassIgnorer implements Serializable
  
  serialVersionUID:
  
  8349568310991609867L
  - Serialized Fields
    - m_ModesAndMeans
```
double[] m_ModesAndMeans
```
- Class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant extends weka.filters.unsupervised.attribute.PotentialClassIgnorer implements Serializable
  
  serialVersionUID:
  
  -7334039452189350356L
  - Serialized Fields
    - m_selectedRange
```
weka.core.Range m_selectedRange
```
    - m_range
```
java.lang.String m_range
```
    - m_resolvedRange
```
java.lang.String m_resolvedRange
```
    - m_nominalStringConstant
```
java.lang.String m_nominalStringConstant
```
    - m_resolvedNominalStringConstant
```
java.lang.String m_resolvedNominalStringConstant
```
    - m_numericConstant
```
java.lang.String m_numericConstant
```
    - m_resolvedNumericConstant
```
java.lang.String m_resolvedNumericConstant
```
    - m_numericConstVal
```
double m_numericConstVal
```
    - m_dateConstant
```
java.lang.String m_dateConstant
```
    - m_resolvedDateConstant
```
java.lang.String m_resolvedDateConstant
```
    - m_dateConstVal
```
double m_dateConstVal
```
    - m_defaultDateFormat
```
java.lang.String m_defaultDateFormat
```
    - m_resolvedDateFormat
```
java.lang.String m_resolvedDateFormat
```
- Class weka.filters.unsupervised.attribute.ReplaceWithMissingValue extends weka.filters.SimpleBatchFilter implements Serializable
  
  serialVersionUID:
  
  -2356630932899796239L
  - Serialized Fields
    - m_Cols
```
weka.core.Range m_Cols
```
    - m_DefaultCols
```
java.lang.String m_DefaultCols
```
    - m_Seed
```
int m_Seed
```
    - m_Probability
```
double m_Probability
```
    - m_IgnoreClass
```
boolean m_IgnoreClass
```
- Class weka.filters.unsupervised.attribute.SortLabels extends weka.filters.SimpleStreamFilter implements Serializable
  
  serialVersionUID:
  
  7815204879694105691L
  - Serialized Fields
    - m_AttributeIndices
```
weka.core.Range m_AttributeIndices
```
    - m_NewOrder
```
int[][] m_NewOrder
```
    - m_SortType
```
int m_SortType
```
    - m_Comparator
```
java.util.Comparator<T> m_Comparator
```
- Class weka.filters.unsupervised.attribute.SortLabels.CaseInsensitiveComparator extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -4515292733342486066L
- Class weka.filters.unsupervised.attribute.SortLabels.CaseSensitiveComparator extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  7071450356783873277L
- Class weka.filters.unsupervised.attribute.Standardize extends weka.filters.unsupervised.attribute.PotentialClassIgnorer implements Serializable
  
  serialVersionUID:
  
  -6830769026855053281L
  - Serialized Fields
    - m_Means
```
double[] m_Means
```
    - m_StdDevs
```
double[] m_StdDevs
```
- Class weka.filters.unsupervised.attribute.StringToNominal extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  4864084427902797605L
  - Serialized Fields
    - m_AttIndices
```
weka.core.Range m_AttIndices
```
- Class weka.filters.unsupervised.attribute.StringToWordVector extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  8249106275278565424L
  - Serialized Fields
    - m_dictionaryBuilder
```
weka.core.DictionaryBuilder m_dictionaryBuilder
```
    - m_PeriodicPruningRate
```
double m_PeriodicPruningRate
```
    - m_filterType
```
int m_filterType
```
    - m_dictionaryFile
```
java.io.File m_dictionaryFile
```
    - m_dictionaryIsBinary
```
boolean m_dictionaryIsBinary
```
- Class weka.filters.unsupervised.attribute.SwapValues extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  6155834679414275855L
  - Serialized Fields
    - m_AttIndex
```
weka.core.SingleIndex m_AttIndex
```
    - m_FirstIndex
```
weka.core.SingleIndex m_FirstIndex
```
    - m_SecondIndex
```
weka.core.SingleIndex m_SecondIndex
```
- Class weka.filters.unsupervised.attribute.TimeSeriesDelta extends weka.filters.unsupervised.attribute.TimeSeriesTranslate implements Serializable
  
  serialVersionUID:
  
  3101490081896634942L
- Class weka.filters.unsupervised.attribute.TimeSeriesTranslate extends weka.filters.unsupervised.attribute.AbstractTimeSeries implements Serializable
  
  serialVersionUID:
  
  -8901621509691785705L
- Class weka.filters.unsupervised.attribute.Transpose extends weka.filters.SimpleBatchFilter implements Serializable
  
  serialVersionUID:
  
  213999899640387499L
Package weka.gui.explorer
- Class weka.gui.explorer.AbstractPlotInstances extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  2375155184845160908L
  - Serialized Fields
    - m_Instances
```
weka.core.Instances m_Instances
```
    - m_PlotInstances
```
weka.core.Instances m_PlotInstances
```
    - m_FinishUpCalled
```
boolean m_FinishUpCalled
```
- Class weka.gui.explorer.AssociationsPanel extends weka.gui.AbstractPerspective implements Serializable
  
  serialVersionUID:
  
  -6867871711865476971L
  - Serialized Fields
    - m_Explorer
```
weka.gui.explorer.Explorer m_Explorer
```
    - m_AssociatorEditor
```
weka.gui.GenericObjectEditor m_AssociatorEditor
```
    - m_CEPanel
```
weka.gui.PropertyPanel m_CEPanel
```
    - m_OutText
```
javax.swing.JTextArea m_OutText
```
    - m_Log
```
weka.gui.Logger m_Log
```
    - m_SaveOut
```
weka.gui.SaveBuffer m_SaveOut
```
    - m_History
```
weka.gui.ResultHistoryPanel m_History
```
    - m_StartBut
```
javax.swing.JButton m_StartBut
```
    - m_StopBut
```
javax.swing.JButton m_StopBut
```
    - m_storeOutput
```
javax.swing.JCheckBox m_storeOutput
```
    - m_Instances
```
weka.core.Instances m_Instances
```
    - m_TestInstances
```
weka.core.Instances m_TestInstances
```
    - m_RunThread
```
java.lang.Thread m_RunThread
```
    - m_initialSettingsSet
```
boolean m_initialSettingsSet
```
- Class weka.gui.explorer.AssociationsPanel.AssociationsPanelDefaults extends weka.core.Defaults implements Serializable
  
  serialVersionUID:
  
  1108450683775771792L
- Class weka.gui.explorer.AttributeSelectionPanel extends weka.gui.AbstractPerspective implements Serializable
  
  serialVersionUID:
  
  5627185966993476142L
  - Serialized Fields
    - m_Explorer
```
weka.gui.explorer.Explorer m_Explorer
```
    - m_AttributeEvaluatorEditor
```
weka.gui.GenericObjectEditor m_AttributeEvaluatorEditor
```
    - m_AttributeSearchEditor
```
weka.gui.GenericObjectEditor m_AttributeSearchEditor
```
    - m_AEEPanel
```
weka.gui.PropertyPanel m_AEEPanel
```
    - m_ASEPanel
```
weka.gui.PropertyPanel m_ASEPanel
```
    - m_OutText
```
javax.swing.JTextArea m_OutText
```
    - m_Log
```
weka.gui.Logger m_Log
```
    - m_SaveOut
```
weka.gui.SaveBuffer m_SaveOut
```
    - m_History
```
weka.gui.ResultHistoryPanel m_History
```
    - m_ClassCombo
```
javax.swing.JComboBox<E> m_ClassCombo
```
    - m_CVBut
```
javax.swing.JRadioButton m_CVBut
```
    - m_TrainBut
```
javax.swing.JRadioButton m_TrainBut
```
    - m_CVLab
```
javax.swing.JLabel m_CVLab
```
    - m_CVText
```
javax.swing.JTextField m_CVText
```
    - m_SeedLab
```
javax.swing.JLabel m_SeedLab
```
    - m_SeedText
```
javax.swing.JTextField m_SeedText
```
    - m_RadioListener
```
java.awt.event.ActionListener m_RadioListener
```
    - m_StartBut
```
javax.swing.JButton m_StartBut
```
    - m_StopBut
```
javax.swing.JButton m_StopBut
```
    - COMBO_SIZE
```
java.awt.Dimension COMBO_SIZE
```
    - m_Instances
```
weka.core.Instances m_Instances
```
    - m_RunThread
```
java.lang.Thread m_RunThread
```
    - m_initialSettingsSet
```
boolean m_initialSettingsSet
```
- Class weka.gui.explorer.AttributeSelectionPanel.AttributeSelectionPanelDefaults extends weka.core.Defaults implements Serializable
  
  serialVersionUID:
  
  -5413933415469545770L
- Class weka.gui.explorer.ClassifierErrorsPlotInstances extends weka.gui.explorer.AbstractPlotInstances implements Serializable
  
  serialVersionUID:
  
  -3941976365792013279L
  - Serialized Fields
    - m_MinimumPlotSizeNumeric
```
int m_MinimumPlotSizeNumeric
```
    - m_MaximumPlotSizeNumeric
```
int m_MaximumPlotSizeNumeric
```
    - m_SaveForVisualization
```
boolean m_SaveForVisualization
```
    - m_pointSizeProportionalToMargin
```
boolean m_pointSizeProportionalToMargin
```
    - m_PlotShapes
```
java.util.ArrayList<E> m_PlotShapes
```
    - m_PlotSizes
```
java.util.ArrayList<E> m_PlotSizes
```
    - m_Classifier
```
weka.classifiers.Classifier m_Classifier
```
    - m_ClassIndex
```
int m_ClassIndex
```
    - m_Evaluation
```
weka.classifiers.Evaluation m_Evaluation
```
- Class weka.gui.explorer.ClassifierPanel extends weka.gui.AbstractPerspective implements Serializable
  
  serialVersionUID:
  
  6959973704963624003L
  - Serialized Fields
    - m_Explorer
```
weka.gui.explorer.Explorer m_Explorer
```
    - m_ClassifierEditor
```
weka.gui.GenericObjectEditor m_ClassifierEditor
```
    - m_CEPanel
```
weka.gui.PropertyPanel m_CEPanel
```
    - m_OutText
```
javax.swing.JTextArea m_OutText
```
    - m_Log
```
weka.gui.Logger m_Log
```
    - m_SaveOut
```
weka.gui.SaveBuffer m_SaveOut
```
    - m_History
```
weka.gui.ResultHistoryPanel m_History
```
    - m_ClassCombo
```
javax.swing.JComboBox<E> m_ClassCombo
```
    - m_CVBut
```
javax.swing.JRadioButton m_CVBut
```
    - m_PercentBut
```
javax.swing.JRadioButton m_PercentBut
```
    - m_TrainBut
```
javax.swing.JRadioButton m_TrainBut
```
    - m_TestSplitBut
```
javax.swing.JRadioButton m_TestSplitBut
```
    - m_StoreTestDataAndPredictionsBut
```
javax.swing.JCheckBox m_StoreTestDataAndPredictionsBut
```
    - m_CollectPredictionsForEvaluationBut
```
javax.swing.JCheckBox m_CollectPredictionsForEvaluationBut
```
    - m_errorPlotPointSizeProportionalToMargin
```
javax.swing.JCheckBox m_errorPlotPointSizeProportionalToMargin
```
    - m_OutputModelBut
```
javax.swing.JCheckBox m_OutputModelBut
```
    - m_OutputModelsForTrainingSplitsBut
```
javax.swing.JCheckBox m_OutputModelsForTrainingSplitsBut
```
    - m_OutputPerClassBut
```
javax.swing.JCheckBox m_OutputPerClassBut
```
    - m_OutputConfusionBut
```
javax.swing.JCheckBox m_OutputConfusionBut
```
    - m_OutputEntropyBut
```
javax.swing.JCheckBox m_OutputEntropyBut
```
    - m_ClassificationOutputEditor
```
weka.gui.GenericObjectEditor m_ClassificationOutputEditor
```
    - m_ClassificationOutputPanel
```
weka.gui.PropertyPanel m_ClassificationOutputPanel
```
    - m_OutputAdditionalAttributesRange
```
weka.core.Range m_OutputAdditionalAttributesRange
```
    - m_EvalWRTCostsBut
```
javax.swing.JCheckBox m_EvalWRTCostsBut
```
    - m_SetCostsBut
```
javax.swing.JButton m_SetCostsBut
```
    - m_CVLab
```
javax.swing.JLabel m_CVLab
```
    - m_CVText
```
javax.swing.JTextField m_CVText
```
    - m_PercentLab
```
javax.swing.JLabel m_PercentLab
```
    - m_PercentText
```
javax.swing.JTextField m_PercentText
```
    - m_SetTestBut
```
javax.swing.JButton m_SetTestBut
```
    - m_SetTestFrame
```
javax.swing.JFrame m_SetTestFrame
```
    - m_SetCostsFrame
```
weka.gui.PropertyDialog m_SetCostsFrame
```
    - m_RadioListener
```
java.awt.event.ActionListener m_RadioListener
```
    - m_MoreOptions
```
javax.swing.JButton m_MoreOptions
```
    - m_RandomSeedText
```
javax.swing.JTextField m_RandomSeedText
```
    - m_RandomLab
```
javax.swing.JLabel m_RandomLab
```
    - m_PreserveOrderBut
```
javax.swing.JCheckBox m_PreserveOrderBut
```
    - m_OutputSourceCode
```
javax.swing.JCheckBox m_OutputSourceCode
```
    - m_SourceCodeClass
```
javax.swing.JTextField m_SourceCodeClass
```
    - m_StartBut
```
javax.swing.JButton m_StartBut
```
    - m_StopBut
```
javax.swing.JButton m_StopBut
```
    - COMBO_SIZE
```
java.awt.Dimension COMBO_SIZE
```
    - m_CostMatrixEditor
```
weka.gui.CostMatrixEditor m_CostMatrixEditor
```
    - m_Instances
```
weka.core.Instances m_Instances
```
    - m_TestLoader
```
weka.core.converters.Loader m_TestLoader
```
    - m_TestClassIndex
```
int m_TestClassIndex
```
    - m_RunThread
```
java.lang.Thread m_RunThread
```
    - m_ModelFilter
```
javax.swing.filechooser.FileFilter m_ModelFilter
```
    - m_PMMLModelFilter
```
javax.swing.filechooser.FileFilter m_PMMLModelFilter
```
    - m_FileChooser
```
weka.gui.WekaFileChooser m_FileChooser
```
    - m_selectedEvalMetrics
```
java.util.List<E> m_selectedEvalMetrics
```
    - m_initialSettingsSet
```
boolean m_initialSettingsSet
```
- Class weka.gui.explorer.ClassifierPanel.ClassifierPanelDefaults extends weka.core.Defaults implements Serializable
  
  serialVersionUID:
  
  7109938811150596359L
- Class weka.gui.explorer.ClustererAssignmentsPlotInstances extends weka.gui.explorer.AbstractPlotInstances implements Serializable
  
  serialVersionUID:
  
  -4748134272046520423L
  - Serialized Fields
    - m_PlotShapes
```
int[] m_PlotShapes
```
    - m_Clusterer
```
weka.clusterers.Clusterer m_Clusterer
```
    - m_Evaluation
```
weka.clusterers.ClusterEvaluation m_Evaluation
```
- Class weka.gui.explorer.ClustererPanel extends weka.gui.AbstractPerspective implements Serializable
  
  serialVersionUID:
  
  -2474932792950820990L
  - Serialized Fields
    - m_Explorer
```
weka.gui.explorer.Explorer m_Explorer
```
    - m_ClustererEditor
```
weka.gui.GenericObjectEditor m_ClustererEditor
```
    - m_CLPanel
```
weka.gui.PropertyPanel m_CLPanel
```
    - m_OutText
```
javax.swing.JTextArea m_OutText
```
    - m_Log
```
weka.gui.Logger m_Log
```
    - m_SaveOut
```
weka.gui.SaveBuffer m_SaveOut
```
    - m_History
```
weka.gui.ResultHistoryPanel m_History
```
    - m_PercentBut
```
javax.swing.JRadioButton m_PercentBut
```
    - m_TrainBut
```
javax.swing.JRadioButton m_TrainBut
```
    - m_TestSplitBut
```
javax.swing.JRadioButton m_TestSplitBut
```
    - m_ClassesToClustersBut
```
javax.swing.JRadioButton m_ClassesToClustersBut
```
    - m_ClassCombo
```
javax.swing.JComboBox<E> m_ClassCombo
```
    - m_PercentLab
```
javax.swing.JLabel m_PercentLab
```
    - m_PercentText
```
javax.swing.JTextField m_PercentText
```
    - m_SetTestBut
```
javax.swing.JButton m_SetTestBut
```
    - m_SetTestFrame
```
javax.swing.JFrame m_SetTestFrame
```
    - m_ignoreBut
```
javax.swing.JButton m_ignoreBut
```
    - m_ignoreKeyModel
```
javax.swing.DefaultListModel<E> m_ignoreKeyModel
```
    - m_ignoreKeyList
```
javax.swing.JList<E> m_ignoreKeyList
```
    - m_RadioListener
```
java.awt.event.ActionListener m_RadioListener
```
    - m_StartBut
```
javax.swing.JButton m_StartBut
```
    - COMBO_SIZE
```
java.awt.Dimension COMBO_SIZE
```
    - m_StopBut
```
javax.swing.JButton m_StopBut
```
    - m_Instances
```
weka.core.Instances m_Instances
```
    - m_TestInstances
```
weka.core.Instances m_TestInstances
```
    - m_CurrentVis
```
weka.gui.visualize.VisualizePanel m_CurrentVis
```
    - m_StorePredictionsBut
```
javax.swing.JCheckBox m_StorePredictionsBut
```
    - m_RunThread
```
java.lang.Thread m_RunThread
```
    - m_Summary
```
weka.gui.InstancesSummaryPanel m_Summary
```
    - m_ModelFilter
```
javax.swing.filechooser.FileFilter m_ModelFilter
```
    - m_FileChooser
```
weka.gui.WekaFileChooser m_FileChooser
```
    - m_initialSettingsSet
```
boolean m_initialSettingsSet
```
- Class weka.gui.explorer.ClustererPanel.ClustererPanelDefaults extends weka.core.Defaults implements Serializable
  
  serialVersionUID:
  
  2708388782229179493L
- Class weka.gui.explorer.DataGeneratorPanel extends javax.swing.JPanel implements Serializable
  
  serialVersionUID:
  
  -2520408165350629380L
  - Serialized Fields
    - m_GeneratorEditor
```
weka.gui.GenericObjectEditor m_GeneratorEditor
```
    - m_Instances
```
weka.core.Instances m_Instances
```
    - m_Output
```
java.io.StringWriter m_Output
```
    - m_Log
```
weka.gui.Logger m_Log
```
- Class weka.gui.explorer.Explorer extends javax.swing.JPanel implements Serializable
  
  serialVersionUID:
  
  -7674003708867909578L
  - Serialized Fields
    - m_PreprocessPanel
```
weka.gui.explorer.PreprocessPanel m_PreprocessPanel
```
    - m_Panels
```
java.util.Vector<E> m_Panels
```
    - m_TabbedPane
```
javax.swing.JTabbedPane m_TabbedPane
```
    - m_LogPanel
```
weka.gui.LogPanel m_LogPanel
```
    - m_CapabilitiesFilterChangeListeners
```
java.util.HashSet<E> m_CapabilitiesFilterChangeListeners
```
- Class weka.gui.explorer.Explorer.CapabilitiesFilterChangeEvent extends javax.swing.event.ChangeEvent implements Serializable
  
  serialVersionUID:
  
  1194260517270385559L
  - Serialized Fields
    - m_Filter
```
weka.core.Capabilities m_Filter
```
- Class weka.gui.explorer.ExplorerDefaults extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  4954795757927524225L
- Class weka.gui.explorer.ExplorerDl4jInference extends javax.swing.JPanel implements Serializable
  - Serialized Fields
    - m_Explorer
```
weka.gui.explorer.Explorer m_Explorer
```
      the parent frame.
    - m_Instances
```
weka.core.Instances m_Instances
```
      The loaded instances.
    - m_Logger
```
weka.gui.Logger m_Logger
```
      The system logger.
    - m_currentlyDisplayedImage
```
java.lang.String m_currentlyDisplayedImage
```
      File path of the currently displayed image.
    - m_CNNExplorerEditor
```
weka.gui.GenericObjectEditor m_CNNExplorerEditor
```
      Lets the user configure the classifier.
    - m_ExplorerPropertiesPanel
```
weka.gui.PropertyPanel m_ExplorerPropertiesPanel
```
      The panel showing the current classifier selection.
    - m_OutText
```
javax.swing.JTextArea m_OutText
```
      The output area for classification results.
    - m_History
```
weka.gui.ResultHistoryPanel m_History
```
      A panel controlling results viewing.
    - m_OpenImageButton
```
javax.swing.JButton m_OpenImageButton
```
      Button for further output/visualize options.
    - m_startButton
```
javax.swing.JButton m_startButton
```
      Click to start running the classifier.
    - m_stopButton
```
javax.swing.JButton m_stopButton
```
      Click to stop running the classifier.
    - m_saliencyMapButton
```
javax.swing.JButton m_saliencyMapButton
```
      Click to view Saliency Map.
    - m_gpuAvailableButton
```
javax.swing.JButton m_gpuAvailableButton
```
      Click to see if GPU is available.
    - m_RunThread
```
java.lang.Thread m_RunThread
```
      A thread that classification runs in.
    - m_ImageFilter
```
javax.swing.filechooser.FileFilter m_ImageFilter
```
      Filter for image files.
    - m_FileChooser
```
weka.gui.WekaFileChooser m_FileChooser
```
      The file chooser for selecting model files.
    - imageLabel
```
javax.swing.JLabel imageLabel
```
      Label used to display the image.
    - imagePanel
```
javax.swing.JPanel imagePanel
```
      Panel the imageLabel is displayed on.
    - processedExplorer
```
Dl4jCNNExplorer processedExplorer
```
      Dl4jCNNExplorer object after processing an image.
    - saliencyMapWindow
```
SaliencyMapWindow saliencyMapWindow
```
      Popup window to display saliency maps.
- Class weka.gui.explorer.PreprocessPanel extends weka.gui.AbstractPerspective implements Serializable
  
  serialVersionUID:
  
  6764850273874813049L
  - Serialized Fields
    - m_InstSummaryPanel
```
weka.gui.InstancesSummaryPanel m_InstSummaryPanel
```
    - m_OpenFileBut
```
javax.swing.JButton m_OpenFileBut
```
    - m_OpenURLBut
```
javax.swing.JButton m_OpenURLBut
```
    - m_OpenDBBut
```
javax.swing.JButton m_OpenDBBut
```
    - m_GenerateBut
```
javax.swing.JButton m_GenerateBut
```
    - m_UndoBut
```
javax.swing.JButton m_UndoBut
```
    - m_EditBut
```
javax.swing.JButton m_EditBut
```
    - m_EditM
```
javax.swing.JMenuItem m_EditM
```
    - m_sendToPerspective
```
javax.swing.JMenu m_sendToPerspective
```
    - m_SaveBut
```
javax.swing.JButton m_SaveBut
```
    - m_AttPanel
```
weka.gui.AttributeSelectionPanel m_AttPanel
```
    - m_RemoveButton
```
javax.swing.JButton m_RemoveButton
```
    - m_AttSummaryPanel
```
weka.gui.AttributeSummaryPanel m_AttSummaryPanel
```
    - m_FilterEditor
```
weka.gui.GenericObjectEditor m_FilterEditor
```
    - m_FilterPanel
```
weka.gui.PropertyPanel m_FilterPanel
```
    - m_ApplyFilterBut
```
javax.swing.JButton m_ApplyFilterBut
```
    - m_StopBut
```
javax.swing.JButton m_StopBut
```
    - m_FileChooser
```
weka.gui.ConverterFileChooser m_FileChooser
```
    - m_LastURL
```
java.lang.String m_LastURL
```
    - m_SQLQ
```
java.lang.String m_SQLQ
```
    - m_Instances
```
weka.core.Instances m_Instances
```
    - m_DataGenerator
```
weka.datagenerators.DataGenerator m_DataGenerator
```
    - m_AttVisualizePanel
```
weka.gui.AttributeVisualizationPanel m_AttVisualizePanel
```
    - m_tempUndoFiles
```
java.io.File[] m_tempUndoFiles
```
    - m_tempUndoIndex
```
int m_tempUndoIndex
```
    - m_Support
```
java.beans.PropertyChangeSupport m_Support
```
    - m_IOThread
```
java.lang.Thread m_IOThread
```
    - m_Log
```
weka.gui.Logger m_Log
```
    - m_Explorer
```
weka.gui.explorer.Explorer m_Explorer
```
    - m_initialSettingsSet
```
boolean m_initialSettingsSet
```
    - m_menus
```
java.util.List<E> m_menus
```
- Class weka.gui.explorer.PreprocessPanel.PreprocessDefaults extends weka.core.Defaults implements Serializable
- Class weka.gui.explorer.SaliencyMapWindow extends javax.swing.JPanel implements Serializable
  - Serialized Fields
    - processedExplorer
```
Dl4jCNNExplorer processedExplorer
```
      The Dl4jCNNExplorer which has processed the image.
    - thisWindow
```
javax.swing.JFrame thisWindow
```
      UI Elements.
    - saliencyImageLabel
```
javax.swing.JLabel saliencyImageLabel
```
      Displays the saliency image.
    - icon
```
javax.swing.ImageIcon icon
```
      Displays the saliency image.
    - saliencyImage
```
java.awt.Image saliencyImage
```
      Stores the saliency image.
    - normalizeHeatmapCheckbox
```
javax.swing.JCheckBox normalizeHeatmapCheckbox
```
      Checkbox for the user to normalize the heatmap.
    - addClassButton
```
javax.swing.JButton addClassButton
```
      Add class button.
    - removeClassButton
```
javax.swing.JButton removeClassButton
```
      Remove class button.
    - generateButton
```
javax.swing.JButton generateButton
```
      Generate a heatmap button.
    - saveHeatmapButton
```
javax.swing.JButton saveHeatmapButton
```
      Save the heatmap as an image button.
    - scrollPane
```
javax.swing.JScrollPane scrollPane
```
      Scrollpane for the image, allowing us to generate for many more classes than we can fit on screen.
    - buttonPanel
```
javax.swing.JPanel buttonPanel
```
      Panel for the buttons above.
    - controlPanel
```
javax.swing.JPanel controlPanel
```
      Control panel.
    - splitPane
```
javax.swing.JSplitPane splitPane
```
      Split pane to allow us to hide the control buttons.
    - DEFAULT_SALIENCY_IMAGE_PATH
```
java.lang.String DEFAULT_SALIENCY_IMAGE_PATH
```
      The filepath for the default saliency map image.
    - m_ImageFilter
```
javax.swing.filechooser.FileFilter m_ImageFilter
```
      Filter for the save dialog.
    - m_FileChooser
```
weka.gui.WekaFileChooser m_FileChooser
```
      The file chooser for saving the image.
    - classSelectors
```
java.util.ArrayList<E> classSelectors
```
      List of all the ClassSelectors currently open.
    - buttonsRow
```
int buttonsRow
```
      Which GBC row should the buttons appear on.
    - targetClassRow
```
int targetClassRow
```
      Which GBC row should the target class fields start from.
    - imageRow
```
int imageRow
```
      Which row should the image label appear on (bottom).
- Class weka.gui.explorer.SaliencyMapWindow.SaliencyMapGBC extends java.awt.GridBagConstraints implements Serializable
- Class weka.gui.explorer.VisualizePanel extends weka.gui.AbstractPerspective implements Serializable
  
  serialVersionUID:
  
  6084015036853918846L
  - Serialized Fields
    - m_Explorer
```
weka.gui.explorer.Explorer m_Explorer
```
    - m_matrixPanel
```
weka.gui.visualize.MatrixPanel m_matrixPanel
```
    - m_hasInstancesSet
```
boolean m_hasInstancesSet
```
- Class weka.gui.explorer.VisualizePanel.ScatterDefaults extends weka.core.Defaults implements Serializable
  
  serialVersionUID:
  
  -6890761195767034507L

Serialized Form

Package weka.classifiers.functions

Class weka.classifiers.functions.Dl4jMlpClassifier extends weka.classifiers.RandomizableClassifier implements Serializable

Serialization Methods

readObject

writeObject

Serialized Fields

replaceMissingFilter

filter

nominalToBinaryFilter

zeroR

zooModel

filterMode

modelSize

netConfig

earlyStopping

numEpochs

maxEpochs

numEpochsPerformed

numEpochsPerformedThisSession

trainData

instanceIterator

queueSize

filterType

x0

x1

cacheMode

iterationListener

isInitializationFinished

labelSortIndex

logConfig

resume

doNotClearFilesystemCache

loadLayerSpecification

numGPUs

prefetchBufferSize

averagingFrequency

gpuBackendAvailable

layerSwingWorker

Class weka.classifiers.functions.GaussianProcesses extends weka.classifiers.RandomizableClassifier implements Serializable

Serialized Fields

m_NominalToBinary

m_Filter

m_filterType

m_Missing

m_checksTurnedOff

m_delta

m_deltaSquared

m_Alin

m_Blin

m_kernel

m_actualKernel

m_NumTrain

m_avg_target

m_L

m_t

m_weights

Class weka.classifiers.functions.LinearRegression extends weka.classifiers.AbstractClassifier implements Serializable

Serialized Fields

m_Coefficients

m_SelectedAttributes

m_TransformedData

m_MissingFilter

m_TransformFilter

m_ClassStdDev

m_ClassMean

m_ClassIndex

m_Means

m_StdDevs

m_outputAdditionalStats

m_AttributeSelection

m_EliminateColinearAttributes

m_checksTurnedOff

m_useQRDecomposition

m_Ridge

m_Minimal

m_ModelBuilt

m_isZeroR

m_df

m_RSquared