Synopsis#
A Deep Back-Propagation Neural Network. For more information see: Geoffrey Hinton, Ruslan Salakhutdinov (2006). Reducing the Dimensionality of Data with Neural Networks. Science. 313(5786):504-507.
BibTeX#
@article{Hinton2006,
author = {Geoffrey Hinton and Ruslan Salakhutdinov},
journal = {Science},
number = {5786},
pages = {504-507},
title = {Reducing the Dimensionality of Data with Neural Networks},
volume = {313},
year = {2006}
}
Options#
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-N <value>
Sets the number of RBMs default: 2
-
-H <value>
Sets the number of hidden units default: 10
-
-E <value>
Sets the maximum number of epochs default: 1000 (auto-cut-out)
-
-r <value>
Sets the learning rate (tyically somewhere between 'very small' and 0.1) default: 0.1
-
-m <value>
Sets the momentum (typically somewhere between 0.1 and 0.9) default: 0.1
-
-W <classifier name>
Full name of base classifier. (default: weka.classifiers.trees.J48)
-
-output-debug-info
If set, classifier is run in debug mode and may output additional info to the console
-
-do-not-check-capabilities
If set, classifier capabilities are not checked before classifier is built (use with caution).
-
-num-decimal-places
The number of decimal places for the output of numbers in the model (default 2).
-
-batch-size
The desired batch size for batch prediction (default 100).
Options specific to classifier weka.classifiers.trees.J48:
-
-U
Use unpruned tree.
-
-O
Do not collapse tree.
-
-C <pruning confidence>
Set confidence threshold for pruning. (default 0.25)
-
-M <minimum number of instances>
Set minimum number of instances per leaf. (default 2)
-
-R
Use reduced error pruning.
-
-N <number of folds>
Set number of folds for reduced error pruning. One fold is used as pruning set. (default 3)
-
-B
Use binary splits only.
-
-S
Do not perform subtree raising.
-
-L
Do not clean up after the tree has been built.
-
-A
Laplace smoothing for predicted probabilities.
-
-J
Do not use MDL correction for info gain on numeric attributes.
-
-Q <seed>
Seed for random data shuffling (default 1).
-
-doNotMakeSplitPointActualValue
Do not make split point actual value.
-
-output-debug-info
If set, classifier is run in debug mode and may output additional info to the console
-
-do-not-check-capabilities
If set, classifier capabilities are not checked before classifier is built (use with caution).
-
-num-decimal-places
The number of decimal places for the output of numbers in the model (default 2).
-
-batch-size
The desired batch size for batch prediction (default 100).