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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.
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Copyright © 2013–2014
M. Alexander Nugent Consulting, Research and Devlopment
. All rights reserved.