C D E F G I L R S T U

C

ClassificationEvaluator - Class in com.mancrd.ahah.classifier
Used to keep track of classification performance.
ClassificationEvaluator() - Constructor for class com.mancrd.ahah.classifier.ClassificationEvaluator
 
ClassificationEvaluator(Set<String>) - Constructor for class com.mancrd.ahah.classifier.ClassificationEvaluator
Constructor Must provide a set of labels that will be used for evaluation.
ClassificationRate - Class in com.mancrd.ahah.classifier
This class is used to hold performance evaluating statistics for classifications related to one class label.
ClassificationRate(String) - Constructor for class com.mancrd.ahah.classifier.ClassificationRate
Constructor
Classifier - Class in com.mancrd.ahah.classifier
This class learns to associate input spikes with input labels.
Classifier() - Constructor for class com.mancrd.ahah.classifier.Classifier
In-memory-only Classifier
Classifier(String) - Constructor for class com.mancrd.ahah.classifier.Classifier
Constructor
ClassifierException - Exception in com.mancrd.ahah.classifier
 
ClassifierException(String, Throwable) - Constructor for exception com.mancrd.ahah.classifier.ClassifierException
 
ClassifierException(String) - Constructor for exception com.mancrd.ahah.classifier.ClassifierException
 
ClassifierOutput - Class in com.mancrd.ahah.classifier
This DTO encapsulates an activation map from a classifier and has convenience methods to get at the relevant data
ClassifierOutput() - Constructor for class com.mancrd.ahah.classifier.ClassifierOutput
Constructor
com.mancrd.ahah.classifier - package com.mancrd.ahah.classifier
 
compareTo(ClassificationRate) - Method in class com.mancrd.ahah.classifier.ClassificationRate
 
compareTo(LabelOutput) - Method in class com.mancrd.ahah.classifier.LabelOutput
 
COUNTS_SER_NAME - Static variable in class com.mancrd.ahah.classifier.Classifier
 

D

deleteLabel(String) - Method in class com.mancrd.ahah.classifier.Classifier
 
DeleteLabelProcedure - Class in com.mancrd.ahah.classifier
 
DeleteLabelProcedure(int) - Constructor for class com.mancrd.ahah.classifier.DeleteLabelProcedure
 
deserializeClassifier() - Method in class com.mancrd.ahah.classifier.Classifier
 

E

execute(int, float) - Method in class com.mancrd.ahah.classifier.ClassifierOutput
 
execute(long, TIntFloatHashMap) - Method in class com.mancrd.ahah.classifier.DeleteLabelProcedure
 
execute(TIntFloatHashMap) - Method in class com.mancrd.ahah.classifier.LinkMapCountProcedure
 
execute(long, TIntFloatHashMap) - Method in class com.mancrd.ahah.classifier.LinkWeightLabelProcedure
 
execute(long, TIntFloatHashMap) - Method in class com.mancrd.ahah.classifier.LinkWeightProcedure
 

F

FORWARD_SER_NAME - Static variable in class com.mancrd.ahah.classifier.Classifier
 

G

getAccuracy() - Method in class com.mancrd.ahah.classifier.ClassificationRate
 
getAccuracyMacroAve() - Method in class com.mancrd.ahah.classifier.ClassificationEvaluator
 
getAccuracyMicroAve() - Method in class com.mancrd.ahah.classifier.ClassificationEvaluator
 
getBestGuess() - Method in class com.mancrd.ahah.classifier.ClassifierOutput
Returns the highest ranked label or best-guess label
getBestGuessLabelAboveThreshold(double) - Method in class com.mancrd.ahah.classifier.ClassifierOutput
Returns the highest ranked label above the given confidence threshold
getBestGuessLabelOuputAboveThreshold(double) - Method in class com.mancrd.ahah.classifier.ClassifierOutput
Returns the highest ranked label above the given confidence threshold
getClassificationRate(String) - Method in class com.mancrd.ahah.classifier.ClassificationEvaluator
calculates the classification rate for a single trueLabelId
getConfidence() - Method in class com.mancrd.ahah.classifier.LabelOutput
 
getF1() - Method in class com.mancrd.ahah.classifier.ClassificationRate
 
getF1MacroAve() - Method in class com.mancrd.ahah.classifier.ClassificationEvaluator
 
getF1MicroAve() - Method in class com.mancrd.ahah.classifier.ClassificationEvaluator
 
getFalseNegativeCount() - Method in class com.mancrd.ahah.classifier.ClassificationRate
 
getFalsePositiveCount() - Method in class com.mancrd.ahah.classifier.ClassificationRate
 
getLabel() - Method in class com.mancrd.ahah.classifier.ClassificationRate
 
getLabel() - Method in class com.mancrd.ahah.classifier.LabelOutput
 
getLabelOutput(String) - Method in class com.mancrd.ahah.classifier.ClassifierOutput
 
getLabelOutputs() - Method in class com.mancrd.ahah.classifier.ClassifierOutput
 
getLabelOutputSet(double) - Method in class com.mancrd.ahah.classifier.ClassifierOutput
Gets the Activation objects sorted by activation above a given confidence threshold
getLabelSet(double) - Method in class com.mancrd.ahah.classifier.ClassifierOutput
Gets the Activation objects sorted by activation above a given confidence threshold
getLabelstring() - Method in class com.mancrd.ahah.classifier.LabelOutput
 
getLearningRate() - Method in class com.mancrd.ahah.classifier.Classifier
 
getLinkWeights() - Method in class com.mancrd.ahah.classifier.LinkWeightLabelProcedure
 
getLinkWeightsForLabel(String) - Method in class com.mancrd.ahah.classifier.Classifier
 
getNumLabelsProcessed() - Method in class com.mancrd.ahah.classifier.Classifier
 
getNumLinks() - Method in class com.mancrd.ahah.classifier.Classifier
 
getNumLinks() - Method in class com.mancrd.ahah.classifier.LinkMapCountProcedure
 
getNumSpikesProcessed() - Method in class com.mancrd.ahah.classifier.Classifier
 
getNumUniqueLabels() - Method in class com.mancrd.ahah.classifier.Classifier
 
getNumUpdates() - Method in class com.mancrd.ahah.classifier.Classifier
 
getPrecision() - Method in class com.mancrd.ahah.classifier.ClassificationRate
 
getPrecisionMacroAve() - Method in class com.mancrd.ahah.classifier.ClassificationEvaluator
 
getPrecisionMicroAve() - Method in class com.mancrd.ahah.classifier.ClassificationEvaluator
 
getRecall() - Method in class com.mancrd.ahah.classifier.ClassificationRate
 
getRecallMacroAve() - Method in class com.mancrd.ahah.classifier.ClassificationEvaluator
 
getRecallMicroAve() - Method in class com.mancrd.ahah.classifier.ClassificationEvaluator
 
getSortedClassificationRates() - Method in class com.mancrd.ahah.classifier.ClassificationEvaluator
 
getSortedLabelOutputs(double) - Method in class com.mancrd.ahah.classifier.ClassifierOutput
Gets the Activation objects sorted by activation above a given confidence threshold
getSortedLabels(double) - Method in class com.mancrd.ahah.classifier.ClassifierOutput
Gets the Activation objects sorted by activation above a given confidence threshold
getSortedLabels() - Method in class com.mancrd.ahah.classifier.ClassifierOutput
Gets the Activation objects sorted by activation above a given confidence threshold
getSortedLinkWeights() - Method in class com.mancrd.ahah.classifier.Classifier
 
getSortedLinkWeights() - Method in class com.mancrd.ahah.classifier.LinkWeightProcedure
 
getTotalClassificationTimeInNanoSeconds() - Method in class com.mancrd.ahah.classifier.Classifier
 
getTotalConfidence(double) - Method in class com.mancrd.ahah.classifier.ClassifierOutput
Returns the sum total activation for all labels in the output that exceed the given threshold.
getTotalCount() - Method in class com.mancrd.ahah.classifier.ClassificationRate
 
getTrueNegativeCount() - Method in class com.mancrd.ahah.classifier.ClassificationRate
 
getTruePositiveCount() - Method in class com.mancrd.ahah.classifier.ClassificationRate
 

I

incFalseNegativeCount() - Method in class com.mancrd.ahah.classifier.ClassificationRate
 
incFalsePositiveCount() - Method in class com.mancrd.ahah.classifier.ClassificationRate
 
incTrueNegativeCount() - Method in class com.mancrd.ahah.classifier.ClassificationRate
 
incTruePositiveCount() - Method in class com.mancrd.ahah.classifier.ClassificationRate
 

L

LabelOutput - Class in com.mancrd.ahah.classifier
A simple POJO holding a classification label and the corresponding activation
LabelOutput(int, float) - Constructor for class com.mancrd.ahah.classifier.LabelOutput
Constructor
LINK_SER_NAME - Static variable in class com.mancrd.ahah.classifier.Classifier
 
LinkMapCountProcedure - Class in com.mancrd.ahah.classifier
 
LinkMapCountProcedure() - Constructor for class com.mancrd.ahah.classifier.LinkMapCountProcedure
 
LinkWeightLabelProcedure - Class in com.mancrd.ahah.classifier
 
LinkWeightLabelProcedure(int, String) - Constructor for class com.mancrd.ahah.classifier.LinkWeightLabelProcedure
 
LinkWeightProcedure - Class in com.mancrd.ahah.classifier
 
LinkWeightProcedure() - Constructor for class com.mancrd.ahah.classifier.LinkWeightProcedure
 

R

REVERSE_SER_NAME - Static variable in class com.mancrd.ahah.classifier.Classifier
 

S

serializeClassifier() - Method in class com.mancrd.ahah.classifier.Classifier
 
setFalsePositiveCount(int) - Method in class com.mancrd.ahah.classifier.ClassificationRate
 
setLabelstring(String) - Method in class com.mancrd.ahah.classifier.LabelOutput
 
setLearningRate(float) - Method in class com.mancrd.ahah.classifier.Classifier
 
setLinkWeightLabelString(List<LinkWeight>) - Method in class com.mancrd.ahah.classifier.Classifier
 
setTruePositiveCount(int) - Method in class com.mancrd.ahah.classifier.ClassificationRate
 
setUnsupervisedConfidenceThreshold(double) - Method in class com.mancrd.ahah.classifier.Classifier
 
setUnsupervisedEnabled(boolean) - Method in class com.mancrd.ahah.classifier.Classifier
 

T

toString() - Method in class com.mancrd.ahah.classifier.ClassificationEvaluator
 
toString() - Method in class com.mancrd.ahah.classifier.ClassificationRate
 
toString() - Method in class com.mancrd.ahah.classifier.LabelOutput
 
translateLabels(TIntObjectHashMap<String>) - Method in class com.mancrd.ahah.classifier.ClassifierOutput
 

U

update(String, String) - Method in class com.mancrd.ahah.classifier.ClassificationEvaluator
 
update(Set<String>, List<String>) - Method in class com.mancrd.ahah.classifier.ClassificationEvaluator
Here's where results come in
update(String[], long[]) - Method in class com.mancrd.ahah.classifier.Classifier
Convenience method.
update(String[], List<long[]>) - Method in class com.mancrd.ahah.classifier.Classifier
Given a set of trueLabels and an input pattern (spikes), it returns the labels based on a classification of the spikes before learning.

C D E F G I L R S T U

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