lucid::KernelRidgeRegressor Member List

This is the complete list of members for lucid::KernelRidgeRegressor, including all inherited members.

clone() const override	lucid::KernelRidgeRegressor	virtual
coefficients() const	lucid::KernelRidgeRegressor	inline
coefficients_	lucid::KernelRidgeRegressor	private
consolidate(ConstMatrixRef training_inputs, ConstMatrixRef training_outputs, const Request request=Request::_)	lucid::KernelRidgeRegressor	inline
consolidate(ConstMatrixRef training_inputs, ConstMatrixRef training_outputs, Requests requests)	lucid::KernelRidgeRegressor
consolidate_impl(ConstMatrixRef training_inputs, ConstMatrixRef training_outputs, Requests requests) override	lucid::KernelRidgeRegressor	virtual
Estimator(Parameters parameters=NoParameters, const std::shared_ptr< const Tuner > &tuner=nullptr)	lucid::Estimator	explicit
fit(ConstMatrixRef training_inputs, ConstMatrixRef training_outputs, const Tuner &tuner)	lucid::KernelRidgeRegressor
fit(ConstMatrixRef training_inputs, ConstMatrixRef training_outputs)	lucid::KernelRidgeRegressor
fit_online(ConstMatrixRef training_inputs, const OutputComputer &training_outputs, const Tuner &tuner)	lucid::Estimator
fit_online(ConstMatrixRef training_inputs, const OutputComputer &training_outputs)	lucid::Estimator
get(Parameter parameter) const	lucid::Parametrizable
get() const	lucid::Parametrizable	inline
get(Parameter parameter) const	lucid::Parametrizable
get_d(Parameter parameter) const override	lucid::KernelRidgeRegressor	privatevirtual
get_i(Parameter parameter) const override	lucid::KernelRidgeRegressor	privatevirtual
get_v(Parameter parameter) const override	lucid::KernelRidgeRegressor	privatevirtual
gradient() const	lucid::GradientOptimizable	inline
gradient_	lucid::GradientOptimizable	protected
has(const Parameter parameter) const	lucid::Parametrizable	inline
kernel() const	lucid::KernelRidgeRegressor	inline
kernel_	lucid::KernelRidgeRegressor	private
KernelRidgeRegressor(const Kernel &kernel, Scalar regularization_constant=0, const std::shared_ptr< const Tuner > &tuner=nullptr)	lucid::KernelRidgeRegressor	explicit
KernelRidgeRegressor(std::unique_ptr< Kernel > &&kernel, Scalar regularization_constant=0, const std::shared_ptr< const Tuner > &tuner=nullptr)	lucid::KernelRidgeRegressor	explicit
load(const Parametrizable &o)	lucid::Parametrizable
log_marginal_likelihood() const	lucid::KernelRidgeRegressor	inline
m_tuner()	lucid::Estimator	inline
objective_value() const	lucid::GradientOptimizable	inline
objective_value_	lucid::GradientOptimizable	protected
operator()(ConstMatrixRef x, const FeatureMap &feature_map) const	lucid::KernelRidgeRegressor
operator()(ConstMatrixRef x) const	lucid::KernelRidgeRegressor
parameters() const	lucid::Parametrizable	inline
parameters_	lucid::Parametrizable	protected
parameters_list() const	lucid::Parametrizable
predict(ConstMatrixRef x) const override	lucid::KernelRidgeRegressor	virtual
predict(ConstMatrixRef x, const FeatureMap &feature_map) const	lucid::KernelRidgeRegressor
regularization_constant() const	lucid::KernelRidgeRegressor	inline
regularization_constant_	lucid::KernelRidgeRegressor	private
score(ConstMatrixRef evaluation_inputs, ConstMatrixRef evaluation_outputs) const override	lucid::KernelRidgeRegressor	virtual
set(Parameter parameter, int value) override	lucid::KernelRidgeRegressor	virtual
set(Parameter parameter, double value) override	lucid::KernelRidgeRegressor	virtual
set(Parameter parameter, const Vector &value) override	lucid::KernelRidgeRegressor	virtual
lucid::GradientOptimizable::set(Parameter parameter, const std::variant< int, double, Vector > &value)	lucid::Parametrizable
lucid::GradientOptimizable::set(const std::variant< int, double, Vector > &value)	lucid::Parametrizable	inline
lucid::GradientOptimizable::set(Parameter parameter, std::size_t idx, const std::variant< std::vector< int >, std::vector< double >, std::vector< Vector > > &values)	lucid::Parametrizable
lucid::GradientOptimizable::set(std::size_t idx, const std::variant< std::vector< int >, std::vector< double >, std::vector< Vector > > &values)	lucid::Parametrizable	inline
lucid::GradientOptimizable::set(typename internal::ParameterType< P >::ref_type value)	lucid::Parametrizable	inline
to_string() const override	lucid::KernelRidgeRegressor	virtual
training_inputs() const	lucid::KernelRidgeRegressor	inline
training_inputs_	lucid::KernelRidgeRegressor	private
tuner() const	lucid::Estimator	inline
tuner_	lucid::Estimator	private