Synopsis#
Create a new feature space using a stack of RBMs, then employ a multi-label classifier on top. For more information see: Jesse Read, Jaako Hollmen: A Deep Interpretation of Classifier Chains. In: Advances in Intelligent Data Analysis {XIII} - 13th International Symposium, {IDA} 2014, 251--262, 2014.
BibTeX#
@inproceedings{Read2014,
author = {Jesse Read and Jaako Hollmen},
booktitle = {Advances in Intelligent Data Analysis {XIII} - 13th International Symposium, {IDA} 2014},
pages = {251--262},
title = {A Deep Interpretation of Classifier Chains},
year = {2014}
}
Options#
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-N <value>
Sets the number of RBMs default: 2
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-H <value>
Sets the number of hidden units default: 10
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-E <value>
Sets the maximum number of epochs default: 1000 (auto-cut-out)
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-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: meka.classifiers.multilabel.BR)
-
-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 meka.classifiers.multilabel.BR:
-
-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.
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-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.
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-N <number of folds>
Set number of folds for reduced error pruning. One fold is used as pruning set. (default 3)
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-B
Use binary splits only.
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-S
Do not perform subtree raising.
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-L
Do not clean up after the tree has been built.
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-A
Laplace smoothing for predicted probabilities.
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-J
Do not use MDL correction for info gain on numeric attributes.
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-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).