skylark::ml::model_t< InputType, OutputType > Struct Template Reference

#include <model.hpp>

List of all members.

Public Types
typedef InputType	input_type
typedef OutputType	output_type
typedef elem::Matrix< double >	intermediate_type
typedef elem::Matrix< double >	coef_type
typedef skylark::sketch::sketch_transform_t < input_type, intermediate_type >	feature_transform_type
Public Member Functions
	model_t (std::vector< const feature_transform_type * > &maps, bool scale_maps, int num_features, int num_outputs)
	model_t (const boost::property_tree::ptree &pt)
	model_t (const std::string &fname)
boost::property_tree::ptree	to_ptree () const
void	save (const std::string &fname, const std::string &header) const
void	predict (input_type &X, output_type &PV, output_type &DV, int num_threads=1) const
void	get_probabilities (input_type &X, output_type &P, int num_threads=1) const
coef_type &	get_coef ()
int	get_num_outputs () const
int	get_input_size () const
Static Public Member Functions
static double	evaluate (output_type &Yt, output_type &Yp, const boost::mpi::communicator &comm)
Protected Member Functions
void	build_from_ptree (const boost::property_tree::ptree &pt)

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Detailed Description

template<typename InputType, typename OutputType>
struct skylark::ml::model_t< InputType, OutputType >

Definition at line 50 of file model.hpp.

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Member Typedef Documentation

template<typename InputType, typename OutputType>

typedef elem::Matrix<double> skylark::ml::model_t< InputType, OutputType >::coef_type

Definition at line 59 of file model.hpp.

template<typename InputType, typename OutputType>

typedef skylark::sketch::sketch_transform_t<input_type, intermediate_type> skylark::ml::model_t< InputType, OutputType >::feature_transform_type

Definition at line 62 of file model.hpp.

template<typename InputType, typename OutputType>

typedef InputType skylark::ml::model_t< InputType, OutputType >::input_type

Definition at line 53 of file model.hpp.

template<typename InputType, typename OutputType>

typedef elem::Matrix<double> skylark::ml::model_t< InputType, OutputType >::intermediate_type

Definition at line 58 of file model.hpp.

template<typename InputType, typename OutputType>

typedef OutputType skylark::ml::model_t< InputType, OutputType >::output_type

Definition at line 54 of file model.hpp.

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Constructor & Destructor Documentation

template<typename InputType, typename OutputType>

skylark::ml::model_t< InputType, OutputType >::model_t	(	std::vector< const feature_transform_type * > &	maps,
		bool	scale_maps,
		int	num_features,
		int	num_outputs
	)		[inline]

Definition at line 64 of file model.hpp.

template<typename InputType, typename OutputType>

skylark::ml::model_t< InputType, OutputType >::model_t

(

const boost::property_tree::ptree &

pt

)

[inline]

Definition at line 84 of file model.hpp.

References skylark::ml::model_t< InputType, OutputType >::build_from_ptree().

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template<typename InputType, typename OutputType>

skylark::ml::model_t< InputType, OutputType >::model_t

(

const std::string &

fname

)

[inline]

Definition at line 88 of file model.hpp.

References skylark::ml::model_t< InputType, OutputType >::build_from_ptree(), and max().

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Member Function Documentation

template<typename InputType, typename OutputType>

void skylark::ml::model_t< InputType, OutputType >::build_from_ptree

(

const boost::property_tree::ptree &

pt

)

[inline, protected]

Definition at line 216 of file model.hpp.

References skylark::sketch::sketch_transform_t< InputMatrixType, OutputMatrixType >::from_ptree().

Referenced by skylark::ml::model_t< InputType, OutputType >::model_t().

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template<typename InputType , typename OutputType >

double skylark::ml::model_t< InputType, OutputType >::evaluate	(	output_type &	Yt,
		output_type &	Yp,
		const boost::mpi::communicator &	comm
	)		[static]

Definition at line 268 of file model.hpp.

References skylark::ml::classification_accuracy().

Referenced by run(), and BlockADMMSolver< T >::train().

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template<typename InputType, typename OutputType>

coef_type& skylark::ml::model_t< InputType, OutputType >::get_coef

(

)

[inline]

Definition at line 207 of file model.hpp.

Referenced by BlockADMMSolver< T >::train().

template<typename InputType, typename OutputType>

int skylark::ml::model_t< InputType, OutputType >::get_input_size

(

)

const [inline]

Definition at line 212 of file model.hpp.

Referenced by run().

template<typename InputType, typename OutputType>

int skylark::ml::model_t< InputType, OutputType >::get_num_outputs

(

)

const [inline]

Definition at line 211 of file model.hpp.

Referenced by run().

template<typename InputType, typename OutputType>

void skylark::ml::model_t< InputType, OutputType >::get_probabilities	(	input_type &	X,
		output_type &	P,
		int	num_threads = 1
	)		const

template<typename InputType, typename OutputType>

void skylark::ml::model_t< InputType, OutputType >::predict	(	input_type &	X,
		output_type &	PV,
		output_type &	DV,
		int	num_threads = 1
	)		const [inline]

Definition at line 141 of file model.hpp.

References skylark::base::Gemm(), skylark::base::Height(), n, and skylark::base::Width().

Referenced by run(), and BlockADMMSolver< T >::train().

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template<typename InputType, typename OutputType>

void skylark::ml::model_t< InputType, OutputType >::save	(	const std::string &	fname,
		const std::string &	header
	)		const [inline]

Saves the model to a file named fname. You may want to use this method from only a single rank.

Definition at line 133 of file model.hpp.

References skylark::ml::model_t< InputType, OutputType >::to_ptree().

Referenced by run().

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template<typename InputType, typename OutputType>

boost::property_tree::ptree skylark::ml::model_t< InputType, OutputType >::to_ptree

(

)

const [inline]

Definition at line 101 of file model.hpp.

References VERSION.

Referenced by skylark::ml::model_t< InputType, OutputType >::save().

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The documentation for this struct was generated from the following file:

• /var/lib/jenkins/jobs/Skylark/workspace/ml/model.hpp