activationFunction() const | shark::LinearModel< InputType, ActivationFunction > | inline |
activationFunction() | shark::LinearModel< InputType, ActivationFunction > | inline |
BatchInputType typedef | shark::LinearModel< InputType, ActivationFunction > | |
BatchOutputType typedef | shark::LinearModel< InputType, ActivationFunction > | |
BOOST_SERIALIZATION_SPLIT_MEMBER() | shark::ISerializable | |
createState() const | shark::LinearModel< InputType, ActivationFunction > | inlinevirtual |
eval(BatchInputType const &inputs, BatchOutputType &outputs) const | shark::LinearModel< InputType, ActivationFunction > | inlinevirtual |
eval(InputType const &input, VectorType &output) const | shark::LinearModel< InputType, ActivationFunction > | inline |
eval(BatchInputType const &inputs, BatchOutputType &outputs, State &state) const | shark::LinearModel< InputType, ActivationFunction > | inlinevirtual |
hasOffset() const | shark::LinearModel< InputType, ActivationFunction > | inline |
inputShape() const | shark::LinearModel< InputType, ActivationFunction > | inlinevirtual |
LinearModel() | shark::LinearModel< InputType, ActivationFunction > | inline |
LinearModel(Shape const &inputs, Shape const &outputs=1, bool offset=false) | shark::LinearModel< InputType, ActivationFunction > | inline |
LinearModel(MatrixType const &matrix, VectorType const &offset=VectorType()) | shark::LinearModel< InputType, ActivationFunction > | inline |
load(InArchive &archive, unsigned int version) | shark::ISerializable | inline |
matrix() const | shark::LinearModel< InputType, ActivationFunction > | inline |
matrix() | shark::LinearModel< InputType, ActivationFunction > | inline |
name() const | shark::LinearModel< InputType, ActivationFunction > | inlinevirtual |
numberOfParameters() const | shark::LinearModel< InputType, ActivationFunction > | inlinevirtual |
offset() const | shark::LinearModel< InputType, ActivationFunction > | inline |
offset() | shark::LinearModel< InputType, ActivationFunction > | inline |
outputShape() const | shark::LinearModel< InputType, ActivationFunction > | inlinevirtual |
parameterVector() const | shark::LinearModel< InputType, ActivationFunction > | inlinevirtual |
ParameterVectorType typedef | shark::LinearModel< InputType, ActivationFunction > | |
read(InArchive &archive) | shark::LinearModel< InputType, ActivationFunction > | inlinevirtual |
save(OutArchive &archive, unsigned int version) const | shark::ISerializable | inline |
setParameterVector(ParameterVectorType const &newParameters) | shark::LinearModel< InputType, ActivationFunction > | inline |
setStructure(Shape const &inputs, Shape const &outputs=1, bool offset=false) | shark::LinearModel< InputType, ActivationFunction > | inline |
setStructure(MatrixType const &matrix, VectorType const &offset=VectorType()) | shark::LinearModel< InputType, ActivationFunction > | inline |
weightedDerivatives(BatchInputType const &patterns, BatchOutputType const &outputs, BatchOutputType const &coefficients, State const &state, ParameterVectorType ¶meterDerivative, MatrixType &inputDerivative) const | shark::LinearModel< InputType, ActivationFunction > | inline |
weightedInputDerivative(BatchInputType const &patterns, BatchOutputType const &outputs, BatchOutputType const &coefficients, State const &state, MatrixType &derivative) const | shark::LinearModel< InputType, ActivationFunction > | inline |
weightedParameterDerivative(BatchInputType const &patterns, BatchOutputType const &outputs, BatchOutputType const &coefficients, State const &state, ParameterVectorType &gradient) const | shark::LinearModel< InputType, ActivationFunction > | inline |
write(OutArchive &archive) const | shark::LinearModel< InputType, ActivationFunction > | inlinevirtual |
~INameable() | shark::INameable | inlinevirtual |
~ISerializable() | shark::ISerializable | inlinevirtual |