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A
autoBuildTipText()
- Method in class weka.classifiers.functions.
MultilayerPerceptronCS
B
blocker(boolean)
- Method in class weka.classifiers.functions.
MultilayerPerceptronCS
A function used to stop the code that called buildclassifier from continuing on before the user has finished the decision tree.
buildClassifier(Instances)
- Method in class weka.classifiers.functions.
MultilayerPerceptronCS
Call this function to build and train a neural network for the training data provided.
D
decayTipText()
- Method in class weka.classifiers.functions.
MultilayerPerceptronCS
distributionForInstance(Instance)
- Method in class weka.classifiers.functions.
MultilayerPerceptronCS
Call this function to predict the class of an instance once a classification model has been built with the buildClassifier call.
G
getAutoBuild()
- Method in class weka.classifiers.functions.
MultilayerPerceptronCS
getCapabilities()
- Method in class weka.classifiers.functions.
MultilayerPerceptronCS
Returns default capabilities of the classifier.
getDecay()
- Method in class weka.classifiers.functions.
MultilayerPerceptronCS
getGUI()
- Method in class weka.classifiers.functions.
MultilayerPerceptronCS
getHiddenLayers()
- Method in class weka.classifiers.functions.
MultilayerPerceptronCS
getLearningRate()
- Method in class weka.classifiers.functions.
MultilayerPerceptronCS
getMomentum()
- Method in class weka.classifiers.functions.
MultilayerPerceptronCS
getNominalToBinaryFilter()
- Method in class weka.classifiers.functions.
MultilayerPerceptronCS
getNormalizeAttributes()
- Method in class weka.classifiers.functions.
MultilayerPerceptronCS
getNormalizeNumericClass()
- Method in class weka.classifiers.functions.
MultilayerPerceptronCS
getOptions()
- Method in class weka.classifiers.functions.
MultilayerPerceptronCS
Gets the current settings of NeuralNet.
getReset()
- Method in class weka.classifiers.functions.
MultilayerPerceptronCS
getRevision()
- Method in class weka.classifiers.functions.
MultilayerPerceptronCS
Returns the revision string.
getSecFile()
- Method in class weka.classifiers.functions.
MultilayerPerceptronCS
Get the name of the secondary task training file.
getSeed()
- Method in class weka.classifiers.functions.
MultilayerPerceptronCS
getTrainingTime()
- Method in class weka.classifiers.functions.
MultilayerPerceptronCS
getValFile()
- Method in class weka.classifiers.functions.
MultilayerPerceptronCS
Get the name of the validation file.
getValidationSetSize()
- Method in class weka.classifiers.functions.
MultilayerPerceptronCS
getValidationThreshold()
- Method in class weka.classifiers.functions.
MultilayerPerceptronCS
globalInfo()
- Method in class weka.classifiers.functions.
MultilayerPerceptronCS
This will return a string describing the classifier.
GUITipText()
- Method in class weka.classifiers.functions.
MultilayerPerceptronCS
H
hiddenLayersTipText()
- Method in class weka.classifiers.functions.
MultilayerPerceptronCS
L
learningRateTipText()
- Method in class weka.classifiers.functions.
MultilayerPerceptronCS
listOptions()
- Method in class weka.classifiers.functions.
MultilayerPerceptronCS
Returns an enumeration describing the available options.
M
main(String[])
- Static method in class weka.classifiers.functions.
MultilayerPerceptronCS
Main method for testing this class.
momentumTipText()
- Method in class weka.classifiers.functions.
MultilayerPerceptronCS
MultilayerPerceptronCS
- Class in
weka.classifiers.functions
A Classifier that uses backpropagation to classify instances.
This network can be built by hand, created by an algorithm or both.
MultilayerPerceptronCS()
- Constructor for class weka.classifiers.functions.
MultilayerPerceptronCS
The constructor.
N
nominalToBinaryFilterTipText()
- Method in class weka.classifiers.functions.
MultilayerPerceptronCS
normalizeAttributesTipText()
- Method in class weka.classifiers.functions.
MultilayerPerceptronCS
normalizeNumericClassTipText()
- Method in class weka.classifiers.functions.
MultilayerPerceptronCS
R
resetTipText()
- Method in class weka.classifiers.functions.
MultilayerPerceptronCS
S
secFileTipText()
- Method in class weka.classifiers.functions.
MultilayerPerceptronCS
seedTipText()
- Method in class weka.classifiers.functions.
MultilayerPerceptronCS
setAutoBuild(boolean)
- Method in class weka.classifiers.functions.
MultilayerPerceptronCS
This will set whether the network is automatically built or if it is left up to the user.
setDecay(boolean)
- Method in class weka.classifiers.functions.
MultilayerPerceptronCS
setGUI(boolean)
- Method in class weka.classifiers.functions.
MultilayerPerceptronCS
This will set whether A GUI is brought up to allow interaction by the user with the neural network during training.
setHiddenLayers(String)
- Method in class weka.classifiers.functions.
MultilayerPerceptronCS
This will set what the hidden layers are made up of when auto build is enabled.
setLearningRate(double)
- Method in class weka.classifiers.functions.
MultilayerPerceptronCS
The learning rate can be set using this command.
setMomentum(double)
- Method in class weka.classifiers.functions.
MultilayerPerceptronCS
The momentum can be set using this command.
setNominalToBinaryFilter(boolean)
- Method in class weka.classifiers.functions.
MultilayerPerceptronCS
setNormalizeAttributes(boolean)
- Method in class weka.classifiers.functions.
MultilayerPerceptronCS
setNormalizeNumericClass(boolean)
- Method in class weka.classifiers.functions.
MultilayerPerceptronCS
setOptions(String[])
- Method in class weka.classifiers.functions.
MultilayerPerceptronCS
Parses a given list of options.
setReset(boolean)
- Method in class weka.classifiers.functions.
MultilayerPerceptronCS
This sets the network up to be able to reset itself with the current settings and the learning rate at half of what it is currently.
setSecFile(String)
- Method in class weka.classifiers.functions.
MultilayerPerceptronCS
Loads and stores secondary task training file information from the given file name.
setSeed(int)
- Method in class weka.classifiers.functions.
MultilayerPerceptronCS
This seeds the random number generator, that is used when a random number is needed for the network.
setTrainingTime(int)
- Method in class weka.classifiers.functions.
MultilayerPerceptronCS
Set the number of training epochs to perform.
setValFile(String)
- Method in class weka.classifiers.functions.
MultilayerPerceptronCS
Loads and stores validation file information from the given file name.
setValidationSetSize(int)
- Method in class weka.classifiers.functions.
MultilayerPerceptronCS
This will set the size of the validation set.
setValidationThreshold(int)
- Method in class weka.classifiers.functions.
MultilayerPerceptronCS
This sets the threshold to use for when validation testing is being done.
T
toString()
- Method in class weka.classifiers.functions.
MultilayerPerceptronCS
trainingTimeTipText()
- Method in class weka.classifiers.functions.
MultilayerPerceptronCS
V
valFileTipText()
- Method in class weka.classifiers.functions.
MultilayerPerceptronCS
validationSetSizeTipText()
- Method in class weka.classifiers.functions.
MultilayerPerceptronCS
validationThresholdTipText()
- Method in class weka.classifiers.functions.
MultilayerPerceptronCS
W
weka.classifiers.functions
- package weka.classifiers.functions
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