RapidLib  v2.1.0
A simple library for interactive machine learning
neuralNetwork< T > Member List

This is the complete list of members for neuralNetwork< T >, including all inherited members.

getInBases() constneuralNetwork< T >
getInRanges() constneuralNetwork< T >
getJSONDescription(Json::Value &currentModel)neuralNetwork< T >virtual
getNumHiddenLayers() constneuralNetwork< T >
getNumHiddenNodes() constneuralNetwork< T >
getNumInputs() constneuralNetwork< T >virtual
getOutBase() constneuralNetwork< T >
getOutRange() constneuralNetwork< T >
getWeights() constneuralNetwork< T >
getWhichInputs() constneuralNetwork< T >virtual
getWHiddenOutput() constneuralNetwork< T >
neuralNetwork(const int &num_inputs, const std::vector< int > &which_inputs, const int &num_hidden_layers, const int &num_hidden_nodes, const std::vector< T > &weights, const std::vector< T > &wHiddenOutput, const std::vector< T > &inRanges, const std::vector< T > &inBases, const T &outRange, const T &outBase)neuralNetwork< T >
neuralNetwork(const int &num_inputs, const std::vector< int > &which_inputs, const int &num_hidden_layer, const int &num_hidden_nodes)neuralNetwork< T >
reset()neuralNetwork< T >virtual
run(const std::vector< T > &inputVector)neuralNetwork< T >virtual
setEpochs(const int &epochs)neuralNetwork< T >
setNumHiddenLayers(int num_hidden_layers)neuralNetwork< T >
train(const std::vector< trainingExampleTemplate< T > > &trainingSet)neuralNetwork< T >virtual
vector2json(TT vec)baseModel< T >inlineprotected
~baseModel()baseModel< T >inlinevirtual
~neuralNetwork()neuralNetwork< T >