A B C D E F G H I J K L M N O P R S T U V W Z _

A

activate(double) - Method in class com.sjm.machlearn.classifiers.neuralnets.BPNeuralNet

add(DoubleMatrix) - Method in class com.sjm.machlearn.util.DoubleMatrix

add(int, int, double) - Method in class com.sjm.machlearn.util.DoubleMatrix

addCount(int) - Method in class com.sjm.machlearn.classifiers.naivebayes.FeatureCounts

addCount(String) - Method in class com.sjm.machlearn.classifiers.naivebayes.FeatureCounts

addDebugListener(MainClass) - Method in class com.sjm.machlearn.util.MainClass

alpha - Variable in class com.sjm.machlearn.classifiers.lvq.LVQ

argmax(double[]) - Static method in class com.sjm.machlearn.util.Util

argmax(int[]) - Static method in class com.sjm.machlearn.util.Util

argmin(double[]) - Static method in class com.sjm.machlearn.util.Util

average(double[]) - Static method in class com.sjm.machlearn.util.Util

average() : averages the double values in the * array *

B

BPFeatureVector - class com.sjm.machlearn.classifiers.neuralnets.BPFeatureVector.

BPFeatureVector(DataSet, boolean) - Constructor for class com.sjm.machlearn.classifiers.neuralnets.BPFeatureVector

BPFeatureVector(Example, boolean) - Constructor for class com.sjm.machlearn.classifiers.neuralnets.BPFeatureVector

BPFeatureVector(FeatureIdList, boolean) - Constructor for class com.sjm.machlearn.classifiers.neuralnets.BPFeatureVector

BPNeuralNet - class com.sjm.machlearn.classifiers.neuralnets.BPNeuralNet.

BPNeuralNet() - Constructor for class com.sjm.machlearn.classifiers.neuralnets.BPNeuralNet

BPNeuralNet(double) - Constructor for class com.sjm.machlearn.classifiers.neuralnets.BPNeuralNet

C

c_parameter - Variable in class com.sjm.machlearn.classifiers.svm.SvmLite

C5_0 - class com.sjm.machlearn.classifiers.trees.C5_0.

C5_0() - Constructor for class com.sjm.machlearn.classifiers.trees.C5_0

cache_size - Variable in class com.sjm.machlearn.classifiers.svm.SvmLite

calcProbs() - Method in class com.sjm.machlearn.classifiers.naivebayes.FeatureCounts

Classifier - class com.sjm.machlearn.classifiers.Classifier.

Classifier.java : defines the functions needed for a classifier and operations that are contigent on those functions.

Classifier() - Constructor for class com.sjm.machlearn.classifiers.Classifier

classify(Example) - Method in class com.sjm.machlearn.classifiers.Classifier

classify(Example) - Method in class com.sjm.machlearn.classifiers.neuralnets.BPNeuralNet

classify(Example) - Method in class com.sjm.machlearn.classifiers.naivebayes.NaiveBayes

classify(Example) - Method in class com.sjm.machlearn.classifiers.knn.KNN

classify(Example) - Method in class com.sjm.machlearn.classifiers.svm.SvmLite

classify(Example) - Method in class com.sjm.machlearn.classifiers.lvq.LVQ

classify(Example) - Method in class com.sjm.machlearn.classifiers.trees.C5_0

clone() - Method in class com.sjm.machlearn.dataset.Feature

cloneClassifier() - Method in class com.sjm.machlearn.classifiers.Classifier

cloneClassifier() - Method in class com.sjm.machlearn.classifiers.neuralnets.BPNeuralNet

cloneClassifier() - Method in class com.sjm.machlearn.classifiers.naivebayes.NaiveBayes

cloneClassifier() - Method in class com.sjm.machlearn.classifiers.knn.KNN

cloneClassifier() - Method in class com.sjm.machlearn.classifiers.svm.SvmLite

cloneClassifier() - Method in class com.sjm.machlearn.classifiers.lvq.SOM

cloneClassifier() - Method in class com.sjm.machlearn.classifiers.lvq.LVQ1

cloneClassifier() - Method in class com.sjm.machlearn.classifiers.lvq.OLVQ1

cloneClassifier() - Method in class com.sjm.machlearn.classifiers.trees.C5_0

code_class_id - Variable in class com.sjm.machlearn.classifiers.lvq.LVQ

code_vectors - Variable in class com.sjm.machlearn.classifiers.lvq.LVQ

col - Variable in class com.sjm.machlearn.util.DoubleMatrix

com.sjm.machlearn.classifiers - package com.sjm.machlearn.classifiers

com.sjm.machlearn.classifiers.knn - package com.sjm.machlearn.classifiers.knn

com.sjm.machlearn.classifiers.lvq - package com.sjm.machlearn.classifiers.lvq

com.sjm.machlearn.classifiers.naivebayes - package com.sjm.machlearn.classifiers.naivebayes

com.sjm.machlearn.classifiers.neuralnets - package com.sjm.machlearn.classifiers.neuralnets

com.sjm.machlearn.classifiers.svm - package com.sjm.machlearn.classifiers.svm

com.sjm.machlearn.classifiers.trees - package com.sjm.machlearn.classifiers.trees

com.sjm.machlearn.dataset - package com.sjm.machlearn.dataset

com.sjm.machlearn.exceptions - package com.sjm.machlearn.exceptions

com.sjm.machlearn.util - package com.sjm.machlearn.util

compare(Object, Object) - Method in class com.sjm.machlearn.classifiers.knn.KNNComparator

Cont2DiscConverter - class com.sjm.machlearn.classifiers.naivebayes.Cont2DiscConverter.

Cont2DiscConverter() - Constructor for class com.sjm.machlearn.classifiers.naivebayes.Cont2DiscConverter

Cont2DiscConverter(int) - Constructor for class com.sjm.machlearn.classifiers.naivebayes.Cont2DiscConverter

continuous - Static variable in class com.sjm.machlearn.dataset.FeatureId

convert(DataSet) - Method in class com.sjm.machlearn.classifiers.neuralnets.BPFeatureVector

convert(DataSet) - Method in class com.sjm.machlearn.classifiers.naivebayes.Cont2DiscConverter

convert(double[]) - Method in class com.sjm.machlearn.classifiers.neuralnets.BPFeatureVector

convert() : functions that convert between neural net inputs and Examples,DataSets,etc.

convert(Example) - Method in class com.sjm.machlearn.classifiers.neuralnets.BPFeatureVector

convert(Example) - Method in class com.sjm.machlearn.classifiers.naivebayes.Cont2DiscConverter

converter - Variable in class com.sjm.machlearn.classifiers.naivebayes.NaiveBayes

converter - Variable in class com.sjm.machlearn.classifiers.svm.SvmLite

converter - Variable in class com.sjm.machlearn.classifiers.lvq.LVQ

copyMatrix() - Method in class com.sjm.machlearn.util.DoubleMatrix

copyTextFile(String, String) - Static method in class com.sjm.machlearn.util.Util

copyWeights(DataSet) - Method in class com.sjm.machlearn.dataset.DataSet

copyWeights(double[]) - Method in class com.sjm.machlearn.dataset.DataSet

correctOutput(Feature) - Method in class com.sjm.machlearn.dataset.Example

countOutput(String) - Method in class com.sjm.machlearn.dataset.DataSet

createBinValues() - Method in class com.sjm.machlearn.classifiers.naivebayes.Cont2DiscConverter

createC5_0DataString(DataSet) - Method in class com.sjm.machlearn.classifiers.trees.C5_0

createC5_0DataString(Example) - Method in class com.sjm.machlearn.classifiers.trees.C5_0

createC5_0NamesString(DataSet) - Method in class com.sjm.machlearn.classifiers.trees.C5_0

createC5_0NamesString(Example) - Method in class com.sjm.machlearn.classifiers.trees.C5_0

createDir(String) - Static method in class com.sjm.machlearn.util.Util

createMapping(boolean) - Method in class com.sjm.machlearn.dataset.DataSet

createSvmLiteDataString(DataSet) - Method in class com.sjm.machlearn.classifiers.svm.SvmLite

createSvmLiteDataString(Example) - Method in class com.sjm.machlearn.classifiers.svm.SvmLite

D

data - Variable in class com.sjm.machlearn.dataset.Example

data - Variable in class com.sjm.machlearn.dataset.DataSet

data - Variable in class com.sjm.machlearn.util.DoubleMatrix

DataSet - class com.sjm.machlearn.dataset.DataSet.

DataSet.java : class that holds a whole data set of examples together.

DataSet(DataSet) - Constructor for class com.sjm.machlearn.dataset.DataSet

DataSet(Example[]) - Constructor for class com.sjm.machlearn.dataset.DataSet

DataSet(Feature[][]) - Constructor for class com.sjm.machlearn.dataset.DataSet

DataSet(FeatureIdList) - Constructor for class com.sjm.machlearn.dataset.DataSet

DataSet(FeatureIdList, Example[]) - Constructor for class com.sjm.machlearn.dataset.DataSet

DataSet(String, String) - Constructor for class com.sjm.machlearn.dataset.DataSet

debug - Variable in class com.sjm.machlearn.util.MainClass

debug_level - Variable in class com.sjm.machlearn.util.MainClass

debug_listeners - Variable in class com.sjm.machlearn.util.MainClass

debugMesg(int, String) - Method in class com.sjm.machlearn.util.MainClass

debugMesg(int, String, OutputStream) - Method in class com.sjm.machlearn.util.MainClass

debugMesg(int, String, Writer) - Method in class com.sjm.machlearn.util.MainClass

debugMesg(String) - Method in class com.sjm.machlearn.util.MainClass

debugMesg(String, OutputStream) - Method in class com.sjm.machlearn.util.MainClass

debugMesg(String, Writer) - Method in class com.sjm.machlearn.util.MainClass

debugOff() - Method in class com.sjm.machlearn.util.MainClass

debugOn() - Method in class com.sjm.machlearn.util.MainClass

deleteFile(String) - Static method in class com.sjm.machlearn.util.Util

discrete - Static variable in class com.sjm.machlearn.dataset.FeatureId

dist - Variable in class com.sjm.machlearn.classifiers.knn.KNNIndex

doTune(DataSet, Object[], int) - Method in class com.sjm.machlearn.classifiers.Classifier

DoubleMatrix - class com.sjm.machlearn.util.DoubleMatrix.

DoubleMatrix(int, int) - Constructor for class com.sjm.machlearn.util.DoubleMatrix

dvalue - Variable in class com.sjm.machlearn.dataset.Feature

E

eps_parameter - Variable in class com.sjm.machlearn.classifiers.svm.SvmLite

equalFeature(Feature) - Method in class com.sjm.machlearn.dataset.Feature

equals(FeatureId) - Method in class com.sjm.machlearn.dataset.FeatureId

Example - class com.sjm.machlearn.dataset.Example.

Example(Feature[]) - Constructor for class com.sjm.machlearn.dataset.Example

Example(FeatureIdList) - Constructor for class com.sjm.machlearn.dataset.Example

Example(FeatureIdList, boolean) - Constructor for class com.sjm.machlearn.dataset.Example

Example(FeatureIdList, String) - Constructor for class com.sjm.machlearn.dataset.Example

exitValue() - Method in class com.sjm.machlearn.util.ProcessThread

exitValue() - Method in class com.sjm.machlearn.classifiers.svm.SvmLiteThread

F

Feature - class com.sjm.machlearn.dataset.Feature.

feature_converter - Variable in class com.sjm.machlearn.classifiers.neuralnets.BPNeuralNet

Feature(Feature) - Constructor for class com.sjm.machlearn.dataset.Feature

Feature(FeatureId, int) - Constructor for class com.sjm.machlearn.dataset.Feature

Feature(FeatureId, String) - Constructor for class com.sjm.machlearn.dataset.Feature

FeatureCounts - class com.sjm.machlearn.classifiers.naivebayes.FeatureCounts.

FeatureCounts(Feature) - Constructor for class com.sjm.machlearn.classifiers.naivebayes.FeatureCounts

FeatureCounts(Feature, boolean) - Constructor for class com.sjm.machlearn.classifiers.naivebayes.FeatureCounts

FeatureId - class com.sjm.machlearn.dataset.FeatureId.

FeatureId(String) - Constructor for class com.sjm.machlearn.dataset.FeatureId

FeatureId(String, String[], int) - Constructor for class com.sjm.machlearn.dataset.FeatureId

FeatureIdList - class com.sjm.machlearn.dataset.FeatureIdList.

FeatureIdList(Feature[]) - Constructor for class com.sjm.machlearn.dataset.FeatureIdList

FeatureIdList(FeatureId[]) - Constructor for class com.sjm.machlearn.dataset.FeatureIdList

FeatureIdList(FeatureIdList) - Constructor for class com.sjm.machlearn.dataset.FeatureIdList

FeatureIdList(String) - Constructor for class com.sjm.machlearn.dataset.FeatureIdList

featureProbs - Variable in class com.sjm.machlearn.classifiers.naivebayes.NaiveBayes

features - Variable in class com.sjm.machlearn.dataset.FeatureIdList

filestem - Variable in class com.sjm.machlearn.classifiers.trees.C5_0

Fold10Validation - Static variable in class com.sjm.machlearn.classifiers.Classifier

CONSTANTS

ftype - Variable in class com.sjm.machlearn.dataset.FeatureId

G

generateROCCurve(DataSet, DataSet, String) - Method in class com.sjm.machlearn.classifiers.Classifier

generateROCCurve() creates an ROC curve for the trainset and testset.

get(int) - Method in class com.sjm.machlearn.dataset.Example

get(int) - Method in class com.sjm.machlearn.dataset.DataSet

get(int) - Method in class com.sjm.machlearn.dataset.FeatureIdList

get(int) - Method in class com.sjm.machlearn.util.DoubleMatrix

get(int, int) - Method in class com.sjm.machlearn.util.DoubleMatrix

getAccuracy(DataSet) - Method in class com.sjm.machlearn.classifiers.Classifier

getAccuracy() : get the accuracy on the dataset

getAccuracy(DataSet) - Method in class com.sjm.machlearn.classifiers.svm.SvmLite

getAccuracy() : get the accuracy on the dataset

getAccuracy(DataSet) - Method in class com.sjm.machlearn.classifiers.trees.C5_0

getAccuracy() : This method is overidden to increase the speed by calling c50classify on a case file created from the whole dataset rather than creating a file per example.

getAccuracy(double[][], int[]) - Method in class com.sjm.machlearn.classifiers.neuralnets.BPNeuralNet

getBootStrapReplicate() - Method in class com.sjm.machlearn.dataset.DataSet

getBothCat(DataSet) - Method in class com.sjm.machlearn.classifiers.Classifier

getBothCat() get the correctly predicted examples and the misclassified predicted examples for the returned matrix : [0][n] is the misclassified examples.

getCommandString() - Method in class com.sjm.machlearn.classifiers.svm.SvmLite

getCommandString() - Method in class com.sjm.machlearn.classifiers.trees.C5_0

getContinuousDist(Feature, Feature) - Method in class com.sjm.machlearn.classifiers.knn.HannibisDist

getContinuousDist(Feature, Feature) - Method in interface com.sjm.machlearn.classifiers.knn.KNNScoreInterface

getCount(int) - Method in class com.sjm.machlearn.classifiers.naivebayes.FeatureCounts

getCount(String) - Method in class com.sjm.machlearn.classifiers.naivebayes.FeatureCounts

getCounts() - Method in class com.sjm.machlearn.classifiers.naivebayes.FeatureCounts

getDiff(double[], int) - Method in class com.sjm.machlearn.classifiers.lvq.LVQ

getDiff(Example, int) - Method in class com.sjm.machlearn.classifiers.lvq.LVQ

getDiscreteDist(Feature, Feature) - Method in class com.sjm.machlearn.classifiers.knn.HannibisDist

getDiscreteDist(Feature, Feature) - Method in interface com.sjm.machlearn.classifiers.knn.KNNScoreInterface

getDist() - Method in class com.sjm.machlearn.classifiers.knn.KNNIndex

getDist(double[], double[]) - Method in class com.sjm.machlearn.classifiers.lvq.LVQ

getDist(Example, double[]) - Method in class com.sjm.machlearn.classifiers.lvq.LVQ

getDmax() - Method in class com.sjm.machlearn.dataset.FeatureId

getDmin() - Method in class com.sjm.machlearn.dataset.FeatureId

getDValue() - Method in class com.sjm.machlearn.dataset.Feature

getEntropy() - Method in class com.sjm.machlearn.dataset.DataSet

getEntropyWgt() - Method in class com.sjm.machlearn.dataset.DataSet

getError(double[], double[]) - Method in class com.sjm.machlearn.classifiers.neuralnets.BPNeuralNet

getExampleWeight(Example) - Method in class com.sjm.machlearn.classifiers.Classifier

getExampleWeight() : Returns the weight of an example for the class 0.

getExampleWeight(Example) - Method in class com.sjm.machlearn.classifiers.neuralnets.BPNeuralNet

getFeature(FeatureId) - Method in class com.sjm.machlearn.dataset.Example

getFeature(int) - Method in class com.sjm.machlearn.dataset.Example

getFeatureId() - Method in class com.sjm.machlearn.dataset.Feature

getFeatureId(int) - Method in class com.sjm.machlearn.dataset.DataSet

getFeatureIndex(FeatureId) - Method in class com.sjm.machlearn.dataset.DataSet

getFeatureIndex(FeatureId) - Method in class com.sjm.machlearn.dataset.FeatureIdList

getIdList() - Method in class com.sjm.machlearn.dataset.Example

getIdList() - Method in class com.sjm.machlearn.dataset.DataSet

getIndex() - Method in class com.sjm.machlearn.classifiers.knn.KNNIndex

getK() - Method in class com.sjm.machlearn.classifiers.knn.KNN

getLevel(double, double, double) - Method in class com.sjm.machlearn.classifiers.naivebayes.Cont2DiscConverter

getMajorityOutputIndex() - Method in class com.sjm.machlearn.dataset.DataSet

getMajorityOutputIndexWgt() - Method in class com.sjm.machlearn.dataset.DataSet

getMisCat(DataSet) - Method in class com.sjm.machlearn.classifiers.Classifier

getMisCat() : gets the misclassified examples

getNameString() - Method in class com.sjm.machlearn.dataset.FeatureId

getNameString() - Method in class com.sjm.machlearn.dataset.Feature

getNearest(DataSet, Example, int) - Method in class com.sjm.machlearn.classifiers.knn.KNN

getNearest(double[]) - Method in class com.sjm.machlearn.classifiers.lvq.LVQ

getNearest(Example) - Method in class com.sjm.machlearn.classifiers.knn.KNN

getNearest(Example) - Method in class com.sjm.machlearn.classifiers.lvq.LVQ

getOutput(double[]) - Method in class com.sjm.machlearn.classifiers.neuralnets.BPNeuralNet

getOutput(Example) - Method in class com.sjm.machlearn.classifiers.neuralnets.BPNeuralNet

getOutputClass() - Method in class com.sjm.machlearn.classifiers.trees.C5_0

getOutputClass(int) - Method in class com.sjm.machlearn.classifiers.trees.C5_0

getOutputCounts() - Method in class com.sjm.machlearn.dataset.DataSet

getOutputCountsWgt() - Method in class com.sjm.machlearn.dataset.DataSet

getOutputFeature() - Method in class com.sjm.machlearn.dataset.Example

getOutputFeature() - Method in class com.sjm.machlearn.dataset.DataSet

getOutputFeature(int) - Method in class com.sjm.machlearn.dataset.DataSet

getOutputFeatureId() - Method in class com.sjm.machlearn.dataset.Example

getOutputFeatureId() - Method in class com.sjm.machlearn.dataset.DataSet

getOutputFeatureId() - Method in class com.sjm.machlearn.dataset.FeatureIdList

getOutputIndex() - Method in class com.sjm.machlearn.dataset.Example

getOutputIndex() - Method in class com.sjm.machlearn.dataset.DataSet

getOutputIndex() - Method in class com.sjm.machlearn.dataset.FeatureIdList

getOutputValueIds() - Method in class com.sjm.machlearn.dataset.DataSet

getOutputValues(DataSet) - Method in class com.sjm.machlearn.classifiers.neuralnets.BPFeatureVector

getOutpuValues() : gets the neural net output values from and example or dataset

getOutputValues(Example) - Method in class com.sjm.machlearn.classifiers.neuralnets.BPFeatureVector

getProb(int) - Method in class com.sjm.machlearn.classifiers.naivebayes.FeatureCounts

getProb(String) - Method in class com.sjm.machlearn.classifiers.naivebayes.FeatureCounts

getProbs() - Method in class com.sjm.machlearn.classifiers.naivebayes.FeatureCounts

getScore(Example, Example) - Method in class com.sjm.machlearn.classifiers.knn.KNN

getTotalError(double[]) - Method in class com.sjm.machlearn.classifiers.neuralnets.BPNeuralNet

getTotalError(double[], double[]) - Method in class com.sjm.machlearn.classifiers.neuralnets.BPNeuralNet

getTotalWeights() - Method in class com.sjm.machlearn.dataset.DataSet

getType() - Method in class com.sjm.machlearn.dataset.FeatureId

getType() - Method in class com.sjm.machlearn.dataset.Feature

getValue() - Method in class com.sjm.machlearn.dataset.Feature

getValue(Example, int) - Method in class com.sjm.machlearn.classifiers.neuralnets.BPFeatureVector

getValue() : get the neural net input for the example at the given index

getValue(int) - Method in class com.sjm.machlearn.dataset.FeatureId

getValueId() - Method in class com.sjm.machlearn.dataset.Feature

getValueId(String) - Method in class com.sjm.machlearn.dataset.Feature

getValueIdString() - Method in class com.sjm.machlearn.dataset.Feature

getValues() - Method in class com.sjm.machlearn.dataset.FeatureId

getVote(DataSet, Feature, KNNIndex[], int) - Method in class com.sjm.machlearn.classifiers.knn.KNN

getVote(Feature, KNNIndex[]) - Method in class com.sjm.machlearn.classifiers.knn.KNN

getWeight() - Method in class com.sjm.machlearn.dataset.Example

getWeight(int) - Method in class com.sjm.machlearn.dataset.DataSet

H

HannibisDist - class com.sjm.machlearn.classifiers.knn.HannibisDist.

HannibisDist() - Constructor for class com.sjm.machlearn.classifiers.knn.HannibisDist

hasFeature(FeatureId) - Method in class com.sjm.machlearn.dataset.DataSet

hasFeature(FeatureId) - Method in class com.sjm.machlearn.dataset.FeatureIdList

I

idFeature - Variable in class com.sjm.machlearn.dataset.Feature

idlist - Variable in class com.sjm.machlearn.dataset.Example

idlist - Variable in class com.sjm.machlearn.dataset.DataSet

index - Variable in class com.sjm.machlearn.classifiers.knn.KNNIndex

indexOf(String) - Method in class com.sjm.machlearn.dataset.FeatureId

initializeFeatures() - Method in class com.sjm.machlearn.classifiers.naivebayes.NaiveBayes

initializeLVQ() - Method in class com.sjm.machlearn.classifiers.lvq.LVQ

initializeLVQ() - Method in class com.sjm.machlearn.classifiers.lvq.SOM

initializeLVQ() - Method in class com.sjm.machlearn.classifiers.lvq.LVQ1

initializeLVQ() - Method in class com.sjm.machlearn.classifiers.lvq.OLVQ1

initializeVectors(int) - Method in class com.sjm.machlearn.classifiers.lvq.LVQ

initializeWeights() - Method in class com.sjm.machlearn.dataset.DataSet

initializeWeights() - Method in class com.sjm.machlearn.classifiers.neuralnets.BPNeuralNet

initializeWeights(double, double) - Method in class com.sjm.machlearn.classifiers.neuralnets.BPNeuralNet

internalError(Exception) - Method in class com.sjm.machlearn.util.MainClass

internalError(String) - Method in class com.sjm.machlearn.util.MainClass

InvalidConstructorException - exception com.sjm.machlearn.exceptions.InvalidConstructorException.

InvalidConstructorException() - Constructor for class com.sjm.machlearn.exceptions.InvalidConstructorException

InvalidConstructorException(String) - Constructor for class com.sjm.machlearn.exceptions.InvalidConstructorException

InvalidFeature - exception com.sjm.machlearn.exceptions.InvalidFeature.

InvalidFeature() - Constructor for class com.sjm.machlearn.exceptions.InvalidFeature

InvalidFeature(Exception) - Constructor for class com.sjm.machlearn.exceptions.InvalidFeature

InvalidFeature(String) - Constructor for class com.sjm.machlearn.exceptions.InvalidFeature

is - Variable in class com.sjm.machlearn.util.StreamGobbler

isDistValue(String) - Method in class com.sjm.machlearn.dataset.Feature

isDone() - Method in class com.sjm.machlearn.util.ProcessThread

isDone() - Method in class com.sjm.machlearn.classifiers.svm.SvmLiteThread

isLowMem() - Static method in class com.sjm.machlearn.util.Util

J

JackKnifeValidation - Static variable in class com.sjm.machlearn.classifiers.Classifier

K

k_nearest - Variable in class com.sjm.machlearn.classifiers.knn.KNN

KNN - class com.sjm.machlearn.classifiers.knn.KNN.

KNN() - Constructor for class com.sjm.machlearn.classifiers.knn.KNN

KNN(int) - Constructor for class com.sjm.machlearn.classifiers.knn.KNN

KNN(int, KNNScoreInterface) - Constructor for class com.sjm.machlearn.classifiers.knn.KNN

KNNComparator - class com.sjm.machlearn.classifiers.knn.KNNComparator.

KNNComparator() - Constructor for class com.sjm.machlearn.classifiers.knn.KNNComparator

KNNIndex - class com.sjm.machlearn.classifiers.knn.KNNIndex.

KNNIndex(int, double) - Constructor for class com.sjm.machlearn.classifiers.knn.KNNIndex

KNNScoreInterface - interface com.sjm.machlearn.classifiers.knn.KNNScoreInterface.

L

learn_rate - Variable in class com.sjm.machlearn.classifiers.neuralnets.BPNeuralNet

log(double, double) - Static method in class com.sjm.machlearn.util.Util

LVQ - class com.sjm.machlearn.classifiers.lvq.LVQ.

LVQ() - Constructor for class com.sjm.machlearn.classifiers.lvq.LVQ

LVQ(int) - Constructor for class com.sjm.machlearn.classifiers.lvq.LVQ

LVQ1 - class com.sjm.machlearn.classifiers.lvq.LVQ1.

LVQ1.java : Performs supervised learning using Kohonen's LVQ1 Algorithm.

LVQ1() - Constructor for class com.sjm.machlearn.classifiers.lvq.LVQ1

LVQ1(int) - Constructor for class com.sjm.machlearn.classifiers.lvq.LVQ1

M

MainClass - class com.sjm.machlearn.util.MainClass.

MainClass() - Constructor for class com.sjm.machlearn.util.MainClass

MainClass(boolean) - Constructor for class com.sjm.machlearn.util.MainClass

max - Variable in class com.sjm.machlearn.dataset.FeatureId

max_epochs - Variable in class com.sjm.machlearn.classifiers.lvq.LVQ

max(double[]) - Static method in class com.sjm.machlearn.util.Util

max(double, double) - Static method in class com.sjm.machlearn.util.Util

max(int[]) - Static method in class com.sjm.machlearn.util.Util

max(int, int) - Static method in class com.sjm.machlearn.util.Util

max() : return the max of two integers.

merge(DataSet) - Method in class com.sjm.machlearn.dataset.DataSet

min - Variable in class com.sjm.machlearn.dataset.FeatureId

min(double[]) - Static method in class com.sjm.machlearn.util.Util

min(double, double) - Static method in class com.sjm.machlearn.util.Util

min(int, int) - Static method in class com.sjm.machlearn.util.Util

MissingFeatureException - exception com.sjm.machlearn.exceptions.MissingFeatureException.

MissingFeatureException() - Constructor for class com.sjm.machlearn.exceptions.MissingFeatureException

MissingFeatureException(FeatureId, DataSet) - Constructor for class com.sjm.machlearn.exceptions.MissingFeatureException

MissingFeatureException(String) - Constructor for class com.sjm.machlearn.exceptions.MissingFeatureException

MissingFeatureValueException - exception com.sjm.machlearn.exceptions.MissingFeatureValueException.

MissingFeatureValueException() - Constructor for class com.sjm.machlearn.exceptions.MissingFeatureValueException

MissingFeatureValueException(String) - Constructor for class com.sjm.machlearn.exceptions.MissingFeatureValueException

MissingFeatureValueException(String, int, int) - Constructor for class com.sjm.machlearn.exceptions.MissingFeatureValueException

MultipleOutputException - exception com.sjm.machlearn.exceptions.MultipleOutputException.

MultipleOutputException() - Constructor for class com.sjm.machlearn.exceptions.MultipleOutputException

MultipleOutputException(FeatureId, FeatureId) - Constructor for class com.sjm.machlearn.exceptions.MultipleOutputException

MultipleOutputException(String) - Constructor for class com.sjm.machlearn.exceptions.MultipleOutputException

N

NaiveBayes - class com.sjm.machlearn.classifiers.naivebayes.NaiveBayes.

NaiveBayes() - Constructor for class com.sjm.machlearn.classifiers.naivebayes.NaiveBayes

NaiveBayes(int) - Constructor for class com.sjm.machlearn.classifiers.naivebayes.NaiveBayes

name - Variable in class com.sjm.machlearn.dataset.FeatureId

nbins - Variable in class com.sjm.machlearn.classifiers.naivebayes.NaiveBayes

nhidden - Variable in class com.sjm.machlearn.classifiers.neuralnets.BPNeuralNet

ninputs - Variable in class com.sjm.machlearn.classifiers.neuralnets.BPNeuralNet

NoOutputException - exception com.sjm.machlearn.exceptions.NoOutputException.

NoOutputException() - Constructor for class com.sjm.machlearn.exceptions.NoOutputException

NoOutputException(String) - Constructor for class com.sjm.machlearn.exceptions.NoOutputException

normalizeWeights() - Method in class com.sjm.machlearn.dataset.DataSet

noutputs - Variable in class com.sjm.machlearn.classifiers.neuralnets.BPNeuralNet

numbins - Variable in class com.sjm.machlearn.classifiers.naivebayes.Cont2DiscConverter

numCol() - Method in class com.sjm.machlearn.util.DoubleMatrix

numFeatures() - Method in class com.sjm.machlearn.dataset.Example

numFeatures() - Method in class com.sjm.machlearn.dataset.DataSet

numRow() - Method in class com.sjm.machlearn.util.DoubleMatrix

numValues() - Method in class com.sjm.machlearn.dataset.FeatureId

numValues() - Method in class com.sjm.machlearn.dataset.Feature

nvectors - Variable in class com.sjm.machlearn.classifiers.lvq.LVQ

nweights - Variable in class com.sjm.machlearn.classifiers.lvq.LVQ

O

oalpha - Variable in class com.sjm.machlearn.classifiers.lvq.OLVQ1

OLVQ1 - class com.sjm.machlearn.classifiers.lvq.OLVQ1.

OLVQ1() - Constructor for class com.sjm.machlearn.classifiers.lvq.OLVQ1

output - Static variable in class com.sjm.machlearn.dataset.FeatureId

output_index - Variable in class com.sjm.machlearn.dataset.FeatureIdList

outputProbs - Variable in class com.sjm.machlearn.classifiers.naivebayes.NaiveBayes

P

padzeroleft(int, int) - Static method in class com.sjm.machlearn.util.Util

parseContinous(StringTokenizer) - Method in class com.sjm.machlearn.dataset.FeatureId

parseData(String) - Method in class com.sjm.machlearn.dataset.Example

parseDiscrete(StringTokenizer) - Method in class com.sjm.machlearn.dataset.FeatureId

parseOutput(StringTokenizer) - Method in class com.sjm.machlearn.dataset.FeatureId

print - Variable in class com.sjm.machlearn.util.StreamGobbler

printArray(boolean[]) - Static method in class com.sjm.machlearn.util.Util

printArray(double[]) - Static method in class com.sjm.machlearn.util.Util

printArray(int[]) - Static method in class com.sjm.machlearn.util.Util

printClassifier() - Method in class com.sjm.machlearn.classifiers.Classifier

printClassifier() - Method in class com.sjm.machlearn.classifiers.neuralnets.BPNeuralNet

printClassifier() - Method in class com.sjm.machlearn.classifiers.naivebayes.NaiveBayes

printClassifier() - Method in class com.sjm.machlearn.classifiers.knn.KNN

printClassifier() - Method in class com.sjm.machlearn.classifiers.svm.SvmLite

printClassifier() - Method in class com.sjm.machlearn.classifiers.lvq.SOM

printClassifier() - Method in class com.sjm.machlearn.classifiers.lvq.LVQ1

printClassifier() - Method in class com.sjm.machlearn.classifiers.lvq.OLVQ1

printClassifier() - Method in class com.sjm.machlearn.classifiers.trees.C5_0

printExample() - Method in class com.sjm.machlearn.dataset.Example

printFeatureIdList() - Method in class com.sjm.machlearn.dataset.DataSet

printList() - Method in class com.sjm.machlearn.dataset.FeatureIdList

printMatrix() - Method in class com.sjm.machlearn.util.DoubleMatrix

printName() - Method in class com.sjm.machlearn.dataset.FeatureId

printName() - Method in class com.sjm.machlearn.dataset.Feature

printRow(int) - Method in class com.sjm.machlearn.util.DoubleMatrix

printType() - Method in class com.sjm.machlearn.dataset.FeatureId

printValues() - Method in class com.sjm.machlearn.dataset.FeatureId

ProcessThread - class com.sjm.machlearn.util.ProcessThread.

ProcessThread(String, Object) - Constructor for class com.sjm.machlearn.util.ProcessThread

ProcessThread(String, Object, boolean, boolean) - Constructor for class com.sjm.machlearn.util.ProcessThread

R

Random10Validation - Static variable in class com.sjm.machlearn.classifiers.Classifier

randomBoolean() - Static method in class com.sjm.machlearn.util.Util

randomBoolean() returns a true or false value drawn pseudo-randomly.

randomBoolean(double) - Static method in class com.sjm.machlearn.util.Util

randomBoolean() * returns a true or false value determined by the * probability of a true value.

randomInteger(double[]) - Static method in class com.sjm.machlearn.util.Util

randomInteger(int, int) - Static method in class com.sjm.machlearn.util.Util

randomIntegerE(double[]) - Static method in class com.sjm.machlearn.util.Util

randomIntegerE() : picks a random integer between array index 0 to the array length-1.

randomIntList(int, int) - Static method in class com.sjm.machlearn.util.Util

randomize(double, double) - Method in class com.sjm.machlearn.util.DoubleMatrix

randomizeDbl(double[], double, double) - Static method in class com.sjm.machlearn.util.Util

readData(String) - Method in class com.sjm.machlearn.dataset.DataSet

readDouble(String) - Method in class com.sjm.machlearn.classifiers.svm.SvmLite

readDouble(String, int) - Method in class com.sjm.machlearn.classifiers.svm.SvmLite

removeFiles() - Method in class com.sjm.machlearn.classifiers.svm.SvmLite

removeFiles() - Method in class com.sjm.machlearn.classifiers.trees.C5_0

reportAccuracies(int, DataSet, DataSet) - Method in class com.sjm.machlearn.classifiers.neuralnets.BPNeuralNet

row - Variable in class com.sjm.machlearn.util.DoubleMatrix

rt - Static variable in class com.sjm.machlearn.util.ProcessThread

rt - Static variable in class com.sjm.machlearn.classifiers.svm.SvmLite

rt - Static variable in class com.sjm.machlearn.classifiers.svm.SvmLiteThread

rt - Static variable in class com.sjm.machlearn.classifiers.trees.C5_0

run() - Method in class com.sjm.machlearn.util.ProcessThread

run() - Method in class com.sjm.machlearn.util.StreamGobbler

run() - Method in class com.sjm.machlearn.classifiers.svm.SvmLiteThread

runEpoch(DataSet) - Method in class com.sjm.machlearn.classifiers.lvq.LVQ

runEpoch(double[][], double[][]) - Method in class com.sjm.machlearn.classifiers.neuralnets.BPNeuralNet

runEpoch(double[][], int[]) - Method in class com.sjm.machlearn.classifiers.lvq.LVQ

runEpoch(double[][], int[]) - Method in class com.sjm.machlearn.classifiers.lvq.SOM

runEpoch(double[][], int[]) - Method in class com.sjm.machlearn.classifiers.lvq.LVQ1

runEpoch(double[][], int[]) - Method in class com.sjm.machlearn.classifiers.lvq.OLVQ1

S

sameFeature(Feature) - Method in class com.sjm.machlearn.dataset.Feature

sameOutputValue() - Method in class com.sjm.machlearn.dataset.DataSet

score_object - Variable in class com.sjm.machlearn.classifiers.knn.KNN

set(int, int, double) - Method in class com.sjm.machlearn.util.DoubleMatrix

setAlpha(double) - Method in class com.sjm.machlearn.classifiers.lvq.LVQ

setCParameter(double) - Method in class com.sjm.machlearn.classifiers.svm.SvmLite

setDebug(boolean) - Method in class com.sjm.machlearn.util.MainClass

setDebugLevel(int) - Method in class com.sjm.machlearn.util.MainClass

setEpsParameter(double) - Method in class com.sjm.machlearn.classifiers.svm.SvmLite

setK(int) - Method in class com.sjm.machlearn.classifiers.knn.KNN

setMaxEpochs(int) - Method in class com.sjm.machlearn.classifiers.lvq.LVQ

setNumBins(int) - Method in class com.sjm.machlearn.classifiers.naivebayes.NaiveBayes

setNumVectors(int) - Method in class com.sjm.machlearn.classifiers.lvq.LVQ

setParameter(int, Object) - Method in class com.sjm.machlearn.classifiers.Classifier

setParameter(int, Object) - Method in class com.sjm.machlearn.classifiers.neuralnets.BPNeuralNet

setParameter(int, Object) - Method in class com.sjm.machlearn.classifiers.naivebayes.NaiveBayes

setParameter(int, Object) - Method in class com.sjm.machlearn.classifiers.knn.KNN

setParameter(int, Object) - Method in class com.sjm.machlearn.classifiers.svm.SvmLite

setParameter(int, Object) - Method in class com.sjm.machlearn.classifiers.lvq.LVQ

setParameter(int, Object) - Method in class com.sjm.machlearn.classifiers.lvq.SOM

setParameter(int, Object) - Method in class com.sjm.machlearn.classifiers.lvq.OLVQ1

setParameter(int, Object) - Method in class com.sjm.machlearn.classifiers.trees.C5_0

setTestSet(DataSet) - Method in class com.sjm.machlearn.classifiers.neuralnets.BPNeuralNet

setTimeOut(int) - Method in class com.sjm.machlearn.classifiers.svm.SvmLite

setTimeOut(int) - Method in class com.sjm.machlearn.classifiers.trees.C5_0

setValue(int) - Method in class com.sjm.machlearn.dataset.Feature

setValue(String) - Method in class com.sjm.machlearn.dataset.Feature

setWeight(double) - Method in class com.sjm.machlearn.dataset.Example

setWeight(int, double) - Method in class com.sjm.machlearn.dataset.DataSet

size() - Method in class com.sjm.machlearn.dataset.Example

size() - Method in class com.sjm.machlearn.dataset.DataSet

size() - Method in class com.sjm.machlearn.dataset.FeatureIdList

size() - Method in class com.sjm.machlearn.classifiers.neuralnets.BPFeatureVector

size() - Method in class com.sjm.machlearn.util.DoubleMatrix

SOM - class com.sjm.machlearn.classifiers.lvq.SOM.

LVQ1.java : Performs supervised learning using Kohonen's LVQ1 Algorithm.

SOM() - Constructor for class com.sjm.machlearn.classifiers.lvq.SOM

spliceString(String[], String) - Static method in class com.sjm.machlearn.util.Util

spliceString() : returns a string that is a splice of the strings in sarray separated by a separator.

splitDataSet(int, boolean) - Method in class com.sjm.machlearn.dataset.DataSet

splitDataSetFolds(int, boolean) - Method in class com.sjm.machlearn.dataset.DataSet

splitDataSetFolds() : splits the dataset into an array of n-folds.

splitJackKnife(int) - Method in class com.sjm.machlearn.dataset.DataSet

splitRandom(double) - Method in class com.sjm.machlearn.dataset.DataSet

splitRandom() : splits the data into two subsets, based upon the testpercent.

StreamGobbler - class com.sjm.machlearn.util.StreamGobbler.

StreamGobbler(InputStream, String, boolean) - Constructor for class com.sjm.machlearn.util.StreamGobbler

stripPadding(String) - Static method in class com.sjm.machlearn.util.Util

sub(int, int, double) - Method in class com.sjm.machlearn.util.DoubleMatrix

sum(double[]) - Static method in class com.sjm.machlearn.util.Util

sum() : sums the values in the array *

sum(int[]) - Static method in class com.sjm.machlearn.util.Util

sum() : sums the values in the array *

SvmLite - class com.sjm.machlearn.classifiers.svm.SvmLite.

SvmLite.java Front end to run svmlite in the com.sjm.machlearn framework.

SvmLite() - Constructor for class com.sjm.machlearn.classifiers.svm.SvmLite

SvmLiteThread - class com.sjm.machlearn.classifiers.svm.SvmLiteThread.

SvmLiteThread(String, Object) - Constructor for class com.sjm.machlearn.classifiers.svm.SvmLiteThread

swap(boolean[], int, int) - Static method in class com.sjm.machlearn.util.Util

swap() : swaps two boolean values in an array *

swap(double[], int, int) - Static method in class com.sjm.machlearn.util.Util

swap() : swaps two double values in an array *

swap(int[], int, int) - Static method in class com.sjm.machlearn.util.Util

T

test(String) - Method in class com.sjm.machlearn.dataset.FeatureId

testIndices(int, int) - Method in class com.sjm.machlearn.util.DoubleMatrix

time_sec - Variable in class com.sjm.machlearn.classifiers.svm.SvmLite

time_sec - Variable in class com.sjm.machlearn.classifiers.trees.C5_0

timed_out - Variable in class com.sjm.machlearn.classifiers.svm.SvmLite

timed_out - Variable in class com.sjm.machlearn.classifiers.trees.C5_0

toString() - Method in class com.sjm.machlearn.dataset.FeatureId

toString() - Method in class com.sjm.machlearn.classifiers.naivebayes.FeatureCounts

train(DataSet) - Method in class com.sjm.machlearn.classifiers.Classifier

train(DataSet) - Method in class com.sjm.machlearn.classifiers.neuralnets.BPNeuralNet

train() : randomly pick 10% of trainingdata for tune set.

train(DataSet) - Method in class com.sjm.machlearn.classifiers.naivebayes.NaiveBayes

train(DataSet) - Method in class com.sjm.machlearn.classifiers.knn.KNN

train(DataSet) - Method in class com.sjm.machlearn.classifiers.svm.SvmLite

train(DataSet) - Method in class com.sjm.machlearn.classifiers.lvq.LVQ

train(DataSet) - Method in class com.sjm.machlearn.classifiers.trees.C5_0

train(DataSet, DataSet) - Method in class com.sjm.machlearn.classifiers.neuralnets.BPNeuralNet

trainepoch - Variable in class com.sjm.machlearn.classifiers.neuralnets.BPNeuralNet

trainExample(double[], double[]) - Method in class com.sjm.machlearn.classifiers.neuralnets.BPNeuralNet

trainExample(double[], int) - Method in class com.sjm.machlearn.classifiers.lvq.SOM

trainExample(double[], int) - Method in class com.sjm.machlearn.classifiers.lvq.LVQ1

trainExample(double[], int) - Method in class com.sjm.machlearn.classifiers.lvq.OLVQ1

trainingData - Variable in class com.sjm.machlearn.classifiers.naivebayes.NaiveBayes

trainingData - Variable in class com.sjm.machlearn.classifiers.knn.KNN

tune(DataSet, Object[]) - Method in class com.sjm.machlearn.classifiers.neuralnets.BPNeuralNet

tune(DataSet, Object[]) - Method in class com.sjm.machlearn.classifiers.naivebayes.NaiveBayes

tune(DataSet, Object[]) - Method in class com.sjm.machlearn.classifiers.knn.KNN

type - Variable in class com.sjm.machlearn.util.StreamGobbler

U

Util - class com.sjm.machlearn.util.Util.

Class UTIL Contains some basic utilities that will be used by other classes.

Util() - Constructor for class com.sjm.machlearn.util.Util

V

value_id - Variable in class com.sjm.machlearn.dataset.Feature

values - Variable in class com.sjm.machlearn.dataset.FeatureId

W

weight - Variable in class com.sjm.machlearn.dataset.Example

weights - Variable in class com.sjm.machlearn.dataset.DataSet

whidden - Variable in class com.sjm.machlearn.classifiers.neuralnets.BPNeuralNet

woutput - Variable in class com.sjm.machlearn.classifiers.neuralnets.BPNeuralNet

write(String, String) - Method in class com.sjm.machlearn.dataset.DataSet

writeC5_0DataFile(String, DataSet) - Method in class com.sjm.machlearn.classifiers.trees.C5_0

writeC5_0DataFile(String, Example) - Method in class com.sjm.machlearn.classifiers.trees.C5_0

writeC5_0Files(String, DataSet) - Method in class com.sjm.machlearn.classifiers.trees.C5_0

writeC5_0Files(String, Example) - Method in class com.sjm.machlearn.classifiers.trees.C5_0

writeData(String) - Method in class com.sjm.machlearn.dataset.DataSet

writeList(String) - Method in class com.sjm.machlearn.dataset.FeatureIdList

writeNames(String) - Method in class com.sjm.machlearn.dataset.DataSet

writeSvmFile(String, DataSet) - Method in class com.sjm.machlearn.classifiers.svm.SvmLite

writeSvmFile(String, Example) - Method in class com.sjm.machlearn.classifiers.svm.SvmLite

writeText(String, String) - Static method in class com.sjm.machlearn.util.Util

Z

zeroMatrix() - Method in class com.sjm.machlearn.util.DoubleMatrix

_

_internalError(Exception) - Static method in class com.sjm.machlearn.util.MainClass

_internalError(String) - Static method in class com.sjm.machlearn.util.MainClass

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