- getCapabilities() - Method in class weka.classifiers.functions.MLPClassifier
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Returns default capabilities of the classifier.
- getCapabilities() - Method in class weka.classifiers.functions.MLPRegressor
-
Returns default capabilities of the classifier.
- getCapabilities() - Method in class weka.filters.unsupervised.attribute.MLPAutoencoder
-
Returns default capabilities of the filter.
- getFilterType() - Method in class weka.filters.unsupervised.attribute.MLPAutoencoder
-
Gets how the training data will be transformed.
- getLambda() - Method in class weka.filters.unsupervised.attribute.MLPAutoencoder
-
Gets the value of the lambda parameter.
- getNumFunctions() - Method in class weka.classifiers.functions.MLPClassifier
-
Gets the number of functions.
- getNumFunctions() - Method in class weka.classifiers.functions.MLPRegressor
-
Gets the number of functions.
- getNumFunctions() - Method in class weka.filters.unsupervised.attribute.MLPAutoencoder
-
Gets the number of functions.
- getNumThreads() - Method in class weka.classifiers.functions.MLPClassifier
-
Gets the number of threads.
- getNumThreads() - Method in class weka.classifiers.functions.MLPRegressor
-
Gets the number of threads.
- getNumThreads() - Method in class weka.filters.unsupervised.attribute.MLPAutoencoder
-
Gets the number of threads.
- getOptions() - Method in class weka.classifiers.functions.MLPClassifier
-
Gets the current settings of the Classifier.
- getOptions() - Method in class weka.classifiers.functions.MLPRegressor
-
Gets the current settings of the Classifier.
- getOptions() - Method in class weka.filters.unsupervised.attribute.MLPAutoencoder
-
Gets the current settings of the Filter.
- getOutputInOriginalSpace() - Method in class weka.filters.unsupervised.attribute.MLPAutoencoder
-
Gets whether to use original space.
- getPoolSize() - Method in class weka.classifiers.functions.MLPClassifier
-
Gets the number of threads.
- getPoolSize() - Method in class weka.classifiers.functions.MLPRegressor
-
Gets the number of threads.
- getPoolSize() - Method in class weka.filters.unsupervised.attribute.MLPAutoencoder
-
Gets the number of threads.
- getRidge() - Method in class weka.classifiers.functions.MLPClassifier
-
Gets the value of the ridge parameter.
- getRidge() - Method in class weka.classifiers.functions.MLPRegressor
-
Gets the value of the ridge parameter.
- getTechnicalInformation() - Method in class weka.filters.unsupervised.attribute.MLPAutoencoder
-
Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTolerance() - Method in class weka.classifiers.functions.MLPClassifier
-
Gets the tolerance parameter for the delta values.
- getTolerance() - Method in class weka.classifiers.functions.MLPRegressor
-
Gets the tolerance parameter for the delta values.
- getTolerance() - Method in class weka.filters.unsupervised.attribute.MLPAutoencoder
-
Gets the tolerance parameter for the delta values.
- getUseCGD() - Method in class weka.classifiers.functions.MLPClassifier
-
Gets whether to use CGD.
- getUseCGD() - Method in class weka.classifiers.functions.MLPRegressor
-
Gets whether to use CGD.
- getUseCGD() - Method in class weka.filters.unsupervised.attribute.MLPAutoencoder
-
Gets whether to use CGD.
- getUseContractiveAutoencoder() - Method in class weka.filters.unsupervised.attribute.MLPAutoencoder
-
Gets whether to use ContractiveAutoencoder.
- getUseExactSigmoid() - Method in class weka.filters.unsupervised.attribute.MLPAutoencoder
-
Gets whether to use exact sigmoid.
- getWeightsFile() - Method in class weka.filters.unsupervised.attribute.MLPAutoencoder
-
Gets current weights file.
- globalInfo() - Method in class weka.classifiers.functions.MLPClassifier
-
This will return a string describing the classifier.
- globalInfo() - Method in class weka.classifiers.functions.MLPRegressor
-
This will return a string describing the classifier.
- globalInfo() - Method in class weka.filters.unsupervised.attribute.MLPAutoencoder
-
This will return a string describing the filter.
- setFilterType(SelectedTag) - Method in class weka.filters.unsupervised.attribute.MLPAutoencoder
-
Sets how the training data will be transformed.
- setLambda(double) - Method in class weka.filters.unsupervised.attribute.MLPAutoencoder
-
Sets the value of the lambda parameter.
- setNumFunctions(int) - Method in class weka.classifiers.functions.MLPClassifier
-
Sets the number of functions.
- setNumFunctions(int) - Method in class weka.classifiers.functions.MLPRegressor
-
Sets the number of functions.
- setNumFunctions(int) - Method in class weka.filters.unsupervised.attribute.MLPAutoencoder
-
Sets the number of functions.
- setNumThreads(int) - Method in class weka.classifiers.functions.MLPClassifier
-
Sets the number of threads
- setNumThreads(int) - Method in class weka.classifiers.functions.MLPRegressor
-
Sets the number of threads
- setNumThreads(int) - Method in class weka.filters.unsupervised.attribute.MLPAutoencoder
-
Sets the number of threads
- setOptions(String[]) - Method in class weka.classifiers.functions.MLPClassifier
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.functions.MLPRegressor
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.MLPAutoencoder
-
Parses a given list of options.
- setOutputInOriginalSpace(boolean) - Method in class weka.filters.unsupervised.attribute.MLPAutoencoder
-
Sets whether to use original space.
- setPoolSize(int) - Method in class weka.classifiers.functions.MLPClassifier
-
Sets the number of threads
- setPoolSize(int) - Method in class weka.classifiers.functions.MLPRegressor
-
Sets the number of threads
- setPoolSize(int) - Method in class weka.filters.unsupervised.attribute.MLPAutoencoder
-
Sets the number of threads
- setRidge(double) - Method in class weka.classifiers.functions.MLPClassifier
-
Sets the value of the ridge parameter.
- setRidge(double) - Method in class weka.classifiers.functions.MLPRegressor
-
Sets the value of the ridge parameter.
- setTolerance(double) - Method in class weka.classifiers.functions.MLPClassifier
-
Sets the tolerance parameter for the delta values.
- setTolerance(double) - Method in class weka.classifiers.functions.MLPRegressor
-
Sets the tolerance parameter for the delta values.
- setTolerance(double) - Method in class weka.filters.unsupervised.attribute.MLPAutoencoder
-
Sets the tolerance parameter for the delta values.
- setUseCGD(boolean) - Method in class weka.classifiers.functions.MLPClassifier
-
Sets whether to use CGD.
- setUseCGD(boolean) - Method in class weka.classifiers.functions.MLPRegressor
-
Sets whether to use CGD.
- setUseCGD(boolean) - Method in class weka.filters.unsupervised.attribute.MLPAutoencoder
-
Sets whether to use CGD.
- setUseContractiveAutoencoder(boolean) - Method in class weka.filters.unsupervised.attribute.MLPAutoencoder
-
Sets whether to use ContractiveAutoencoder.
- setUseExactSigmoid(boolean) - Method in class weka.filters.unsupervised.attribute.MLPAutoencoder
-
Sets whether to use exact sigmoid.
- setWeightsFile(File) - Method in class weka.filters.unsupervised.attribute.MLPAutoencoder
-
Sets the weights file to use.