RapidLib
v0.1.2
A simple library for interactive machine learning
- a -
addNeighbour() :
knnClassification
- c -
classification() :
classification
- g -
getInBases() :
neuralNetwork
getInRanges() :
neuralNetwork
getJSON() :
modelSet
getJSONDescription() :
baseModel
,
knnClassification
,
neuralNetwork
getNumHiddenLayers() :
neuralNetwork
getNumHiddenNodes() :
neuralNetwork
getNumInputs() :
baseModel
,
knnClassification
,
neuralNetwork
getOutBase() :
neuralNetwork
getOutRange() :
neuralNetwork
getWeights() :
neuralNetwork
getWhichInputs() :
baseModel
,
knnClassification
,
neuralNetwork
getWHiddenOutput() :
neuralNetwork
- i -
initialize() :
modelSet
- k -
knnClassification() :
knnClassification
- m -
modelSet() :
modelSet
- n -
neuralNetwork() :
neuralNetwork
- p -
process() :
baseModel
,
knnClassification
,
modelSet
,
neuralNetwork
putJSON() :
modelSet
- r -
readJSON() :
modelSet
regression() :
regression
- t -
train() :
baseModel
,
classification
,
knnClassification
,
modelSet
,
neuralNetwork
,
regression
- v -
vector2json() :
baseModel
- w -
writeJSON() :
modelSet
- ~ -
~baseModel() :
baseModel
~classification() :
classification
~knnClassification() :
knnClassification
~modelSet() :
modelSet
~neuralNetwork() :
neuralNetwork
~regression() :
regression
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