RapidLib
v2.1.0
A simple library for interactive machine learning
- a -
acceleration() :
rapidStream< T >
add() :
warpPath
addNeighbour() :
knnClassification< T >
- b -
bayesFilter() :
rapidStream< T >
bayesSetDiffusion() :
rapidStream< T >
bayesSetJumpRate() :
rapidStream< T >
bayesSetMVC() :
rapidStream< T >
- c -
calculateCosts() :
seriesClassificationTemplate< T >
classificationTemplate() :
classificationTemplate< T >
clear() :
rapidStream< T >
constrainedDTW() :
dtw< T >
- d -
dtw() :
dtw< T >
dynamicTimeWarp() :
dtw< T >
- f -
fastDTW() :
fastDTW< T >
- g -
getCost() :
dtw< T >
,
fastDTW< T >
getCosts() :
seriesClassificationTemplate< T >
getInBases() :
neuralNetwork< T >
getInRanges() :
neuralNetwork< T >
getJSON() :
modelSet< T >
getJSONDescription() :
baseModel< T >
,
knnClassification< T >
,
neuralNetwork< T >
,
svmClassification< T >
getK() :
classificationTemplate< T >
,
knnClassification< T >
getMaxLength() :
seriesClassificationTemplate< T >
getMinLength() :
seriesClassificationTemplate< T >
getNumHiddenLayers() :
neuralNetwork< T >
,
regressionTemplate< T >
getNumHiddenNodes() :
neuralNetwork< T >
getNumInputs() :
baseModel< T >
,
knnClassification< T >
,
neuralNetwork< T >
,
svmClassification< T >
getOutBase() :
neuralNetwork< T >
getOutRange() :
neuralNetwork< T >
getWeights() :
neuralNetwork< T >
getWhichInputs() :
baseModel< T >
,
knnClassification< T >
,
neuralNetwork< T >
,
svmClassification< T >
getWHiddenOutput() :
neuralNetwork< T >
- i -
init() :
svmClassification< T >
- k -
knnClassification() :
knnClassification< T >
- m -
maxAcceleration() :
rapidStream< T >
maximum() :
rapidStream< T >
maxVelocity() :
rapidStream< T >
mean() :
rapidStream< T >
minAcceleration() :
rapidStream< T >
minimum() :
rapidStream< T >
minVelocity() :
rapidStream< T >
modelSet() :
modelSet< T >
- n -
neuralNetwork() :
neuralNetwork< T >
- p -
pushToWindow() :
rapidStream< T >
putJSON() :
modelSet< T >
- r -
rapidStream() :
rapidStream< T >
readJSON() :
modelSet< T >
regressionTemplate() :
regressionTemplate< T >
reset() :
baseModel< T >
,
knnClassification< T >
,
modelSet< T >
,
neuralNetwork< T >
,
seriesClassificationTemplate< T >
,
svmClassification< T >
rms() :
rapidStream< T >
run() :
baseModel< T >
,
knnClassification< T >
,
modelSet< T >
,
neuralNetwork< T >
,
seriesClassificationTemplate< T >
,
svmClassification< T >
runContinuous() :
seriesClassificationTemplate< T >
- s -
searchWindow() :
searchWindow< T >
seriesClassificationTemplate() :
seriesClassificationTemplate< T >
setEpochs() :
neuralNetwork< T >
setK() :
classificationTemplate< T >
,
knnClassification< T >
setNumEpochs() :
regressionTemplate< T >
setNumHiddenLayers() :
neuralNetwork< T >
,
regressionTemplate< T >
standardDeviation() :
rapidStream< T >
sum() :
rapidStream< T >
svmClassification() :
svmClassification< T >
- t -
train() :
baseModel< T >
,
classificationTemplate< T >
,
knnClassification< T >
,
modelSet< T >
,
neuralNetwork< T >
,
regressionTemplate< T >
,
seriesClassificationTemplate< T >
,
svmClassification< T >
- v -
vector2json() :
baseModel< T >
velocity() :
rapidStream< T >
- w -
warpPath() :
warpPath
writeJSON() :
modelSet< T >
- ~ -
~baseModel() :
baseModel< T >
~classificationTemplate() :
classificationTemplate< T >
~dtw() :
dtw< T >
~fastDTW() :
fastDTW< T >
~knnClassification() :
knnClassification< T >
~modelSet() :
modelSet< T >
~neuralNetwork() :
neuralNetwork< T >
~rapidStream() :
rapidStream< T >
~regressionTemplate() :
regressionTemplate< T >
~seriesClassificationTemplate() :
seriesClassificationTemplate< T >
~svmClassification() :
svmClassification< T >
~warpPath() :
warpPath
Generated by
1.8.13