PLearn::GaussianContinuum Class Reference

#include <GaussianContinuum.h>

Inheritance diagram for PLearn::GaussianContinuum:

[legend]Collaboration diagram for PLearn::GaussianContinuum:

[legend]List of all members.

Public Member Functions
	GaussianContinuum ()
	Default constructor.
virtual void	build ()
	Simply calls inherited::build() then build_().
virtual void	makeDeepCopyFromShallowCopy (map< const void *, void * > &copies)
	Transforms a shallow copy into a deep copy.
	PLEARN_DECLARE_OBJECT (GaussianContinuum)
virtual int	outputsize () const
	Returns the size of this learner's output, (which typically may depend on its inputsize(), targetsize() and set options).
virtual void	forget ()
	(Re-)initializes the PLearner in its fresh state (that state may depend on the 'seed' option) And sets 'stage' back to 0 (this is the stage of a fresh learner!).
virtual void	initializeParams ()
virtual void	train ()
	The role of the train method is to bring the learner up to stage==nstages, updating the train_stats collector with training costs measured on-line in the process.
virtual void	computeOutput (const Vec &input, Vec &output) const
	Computes the output from the input.
virtual void	computeCostsFromOutputs (const Vec &input, const Vec &output, const Vec &target, Vec &costs) const
	Computes the costs from already computed output.
virtual TVec< string >	getTestCostNames () const
	Returns the names of the costs computed by computeCostsFromOutpus (and thus the test method).
virtual TVec< string >	getTrainCostNames () const
	Returns the names of the objective costs that the train method computes and for which it updates the VecStatsCollector train_stats.
Public Attributes
bool	use_noise
real	noise
string	noise_type
int	n_random_walk_step
int	n_random_walk_per_point
bool	save_image_mat
VMat	image_points_vmat
Mat	image_points_mat
Mat	image_prob_mat
TMat< int >	image_nearest_neighbors
real	upper_y
real	lower_y
real	upper_x
real	lower_x
int	points_per_dim
real	min_sigma
real	min_diff
bool	print_parameters
bool	sm_bigger_than_sn
bool	use_best_model
int	n_neighbors
int	n_neighbors_density
int	n_dim
int	compute_cost_every_n_epochs
string	variances_transfer_function
PP< Optimizer >	optimizer
Var	embedding
Func	output_f
Func	output_f_all
Func	predictor
Func	projection_error_f
Func	noisy_data
string	architecture_type
string	output_type
int	n_hidden_units
int	batch_size
real	norm_penalization
real	svd_threshold
real	projection_error_regularization
Static Protected Member Functions
void	declareOptions (OptionList &ol)
	Declares this class' options.
Protected Attributes
int	n
Func	cost_of_one_example
Func	verify_gradient_func
Var	x
Var	noise_var
Var	b
Var	W
Var	c
Var	V
Var	muV
Var	smV
Var	smb
Var	snV
Var	snb
Var	tangent_targets
Var	tangent_plane
Var	mu
Var	sm
Var	sn
Var	mu_noisy
Var	p_x
Var	p_target
Var	p_neighbors
Var	target_index
Var	neigbor_indexes
Var	sum_nll
PP< PDistribution >	dist
Array< VMat >	ith_step_generated_set
VMat	train_and_generated_set
TMat< int >	train_nearest_neighbors
TMat< int >	validation_nearest_neighbors
TVec< Mat >	Bs
TVec< Mat >	Fs
Mat	mus
Vec	sms
Vec	sns
Mat	Ut_svd
Mat	V_svd
Vec	S_svd
Vec	z
Vec	zm
Vec	zn
Vec	x_minus_neighbor
Vec	w
Vec	t_row
Vec	neighbor_row
real	best_validation_cost
VarArray	parameters
Private Types
typedef PLearner	inherited
Private Member Functions
void	build_ ()
	This does the actual building.
void	compute_train_and_validation_costs ()
void	make_random_walk ()
void	get_image_matrix (Mat &image, VMat image_points_vmat, int begin, string file_path)

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Member Typedef Documentation

typedef PLearner PLearn::GaussianContinuum::inherited [private]

Reimplemented from PLearn::PLearner. Definition at line 60 of file GaussianContinuum.h.

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Constructor & Destructor Documentation

PLearn::GaussianContinuum::GaussianContinuum (   )

Default constructor. Definition at line 105 of file GaussianContinuum.cc.

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Member Function Documentation

void PLearn::GaussianContinuum::build (   )  [virtual]

Simply calls inherited::build() then build_(). Reimplemented from PLearn::PLearner. Definition at line 973 of file GaussianContinuum.cc. References build_().

void PLearn::GaussianContinuum::build_ (   )  [private]

This does the actual building. Reimplemented from PLearn::PLearner. Definition at line 536 of file GaussianContinuum.cc. References architecture_type, best_validation_cost, Bs, c, cost_of_one_example, PLearn::diagonalized_factors_product(), dist, embedding, Fs, PLearn::VMat::length(), min_diff, min_sigma, mu, mu_noisy, mus, muV, n, n_dim, n_hidden_units, n_neighbors, n_neighbors_density, neighbor_row, PLearn::VarArray::nelems(), PLearn::nll_semispherical_gaussian(), noise, noise_type, noise_var, noisy_data, output_f, output_f_all, output_type, p_neighbors, p_target, p_x, parameters, PLERROR, predictor, PLearn::product(), REAL_MAX, PLearn::TVec< Mat >::resize(), PLearn::TMat< T >::resize(), PLearn::TVec< T >::resize(), PLearn::TMat< int >::resize(), PLearn::TVec< Var >::resize(), PLearn::TVec< Var >::size(), sm, sm_bigger_than_sn, smb, sms, smV, sn, snb, sns, snV, PLearn::softplus(), sum_nll, svd_threshold, t_row, tangent_plane, tangent_targets, PLearn::tanh(), target_index, train_nearest_neighbors, use_noise, Ut_svd, V, V_svd, validation_nearest_neighbors, PLearn::Vec, verify_gradient_func, w, W, x, x_minus_neighbor, z, zm, and zn. Referenced by build().

void PLearn::GaussianContinuum::compute_train_and_validation_costs (   )  [private]

Definition at line 862 of file GaussianContinuum.cc. References best_validation_cost, Bs, PLearn::TVec< Mat >::clear(), PLearn::endl(), PLearn::exp(), Fs, k, PLearn::lapackSVD(), PLearn::TVec< T >::length(), PLearn::Var::length(), PLearn::VMat::length(), PLearn::log(), Log2Pi, mu, mus, n, n_dim, n_neighbors_density, neighbor_row, output_f_all, p_x, PLearn::pownorm(), predictor, print_parameters, PLearn::product(), PLearn::TMat< T >::resize(), PLearn::TVec< Mat >::resize(), PLearn::TVec< T >::resize(), S_svd, PLearn::save(), sm, sms, sn, sns, PLearn::substract(), PLearn::TVec< T >::subVec(), svd_threshold, t_row, tangent_plane, train_nearest_neighbors, PLearn::transposeProduct(), use_best_model, Ut_svd, V_svd, validation_nearest_neighbors, w, PLearn::Var::width(), PLearn::VMat::width(), x, x_minus_neighbor, z, zm, and zn. Referenced by train().

void PLearn::GaussianContinuum::computeCostsFromOutputs (  const Vec &  input, const Vec &  output, const Vec &  target, Vec &  costs )  const [virtual]

Computes the costs from already computed output. Implements PLearn::PLearner. Definition at line 1292 of file GaussianContinuum.cc.

void PLearn::GaussianContinuum::computeOutput (  const Vec &  input, Vec &  output )  const [virtual]

Computes the output from the input. Implements PLearn::PLearner. Definition at line 1266 of file GaussianContinuum.cc. References F, PLearn::TVec< T >::length(), n, n_dim, PLearn::norm(), output_f, output_type, outputsize(), PLERROR, PLearn::pownorm(), PLearn::TVec< T >::resize(), PLearn::sqrt(), and PLearn::TVec< T >::subVec().

void PLearn::GaussianContinuum::declareOptions (  OptionList &  ol  )  [static, protected]

Declares this class' options. Reimplemented from PLearn::PLearner. Definition at line 369 of file GaussianContinuum.cc. References PLearn::declareOption(), and PLearn::OptionList.

void PLearn::GaussianContinuum::forget (   )  [virtual]

(Re-)initializes the PLearner in its fresh state (that state may depend on the 'seed' option) And sets 'stage' back to 0 (this is the stage of a fresh learner!). Implements PLearn::PLearner. Definition at line 1012 of file GaussianContinuum.cc. References initializeParams().

void PLearn::GaussianContinuum::get_image_matrix (  Mat &  image, VMat  image_points_vmat, int  begin, string  file_path )  [private]

Definition at line 820 of file GaussianContinuum.cc. References Bs, PLearn::computeNearestNeighbors(), PLearn::endl(), PLearn::exp(), Fs, image_nearest_neighbors, PLearn::VMat::length(), PLearn::log(), Log2Pi, mus, n, n_dim, n_neighbors_density, neighbor_row, points_per_dim, PLearn::pownorm(), PLearn::product(), PLearn::TMat< int >::resize(), PLearn::TMat< T >::resize(), PLearn::save(), sms, sns, PLearn::substract(), t_row, train_and_generated_set, PLearn::transposeProduct(), w, x_minus_neighbor, z, zm, and zn. Referenced by train().

TVec< string > PLearn::GaussianContinuum::getTestCostNames (   )  const [virtual]

Returns the names of the costs computed by computeCostsFromOutpus (and thus the test method). Implements PLearn::PLearner. Definition at line 1298 of file GaussianContinuum.cc. References getTrainCostNames().

TVec< string > PLearn::GaussianContinuum::getTrainCostNames (   )  const [virtual]

Returns the names of the objective costs that the train method computes and for which it updates the VecStatsCollector train_stats. Implements PLearn::PLearner. Definition at line 1303 of file GaussianContinuum.cc. Referenced by getTestCostNames().

void PLearn::GaussianContinuum::initializeParams (   )  [virtual]

Definition at line 1234 of file GaussianContinuum.cc. References architecture_type, c, PLearn::fill_random_uniform(), PLearn::PLearner::inputsize(), PLearn::Var::length(), PLearn::manual_seed(), muV, n_hidden_units, optimizer, p_x, PLERROR, PLearn::seed(), smb, smV, snb, snV, PLearn::sqrt(), V, and W. Referenced by forget().

void PLearn::GaussianContinuum::make_random_walk (   )  [private]

Definition at line 692 of file GaussianContinuum.cc. References Bs, PLearn::TVec< Mat >::clear(), Fs, ith_step_generated_set, k, PLearn::lapackSVD(), PLearn::TVec< T >::length(), PLearn::Var::length(), PLearn::TVec< VMat >::length(), PLearn::VMat::length(), mu, mus, n, n_dim, n_random_walk_per_point, n_random_walk_step, PLearn::normal_sample(), output_f_all, PLERROR, predictor, PLearn::TVec< T >::resize(), PLearn::TMat< T >::resize(), PLearn::TVec< Mat >::resize(), PLearn::TVec< VMat >::resize(), S_svd, PLearn::save(), sm, sms, sn, sns, PLearn::sqrt(), PLearn::TVec< T >::subVec(), svd_threshold, t_row, tangent_plane, PLearn::tostring(), train_and_generated_set, Ut_svd, V_svd, PLearn::vconcat(), PLearn::VMat::width(), PLearn::Var::width(), and z. Referenced by train().

void PLearn::GaussianContinuum::makeDeepCopyFromShallowCopy (  map< const void *, void * > &  copies  )  [virtual]

Transforms a shallow copy into a deep copy. Definition at line 981 of file GaussianContinuum.cc. References b, c, cost_of_one_example, PLearn::deepCopyField(), mu, muV, optimizer, parameters, predictor, sm, smb, smV, sn, snb, snV, tangent_targets, V, PLearn::varDeepCopyField(), and W.

int PLearn::GaussianContinuum::outputsize (   )  const [virtual]

Returns the size of this learner's output, (which typically may depend on its inputsize(), targetsize() and set options). Implements PLearn::PLearner. Definition at line 1004 of file GaussianContinuum.cc. References output_f, and output_type. Referenced by computeOutput().

PLearn::GaussianContinuum::PLEARN_DECLARE_OBJECT (  GaussianContinuum   )

void PLearn::GaussianContinuum::train (   )  [virtual]

The role of the train method is to bring the learner up to stage==nstages, updating the train_stats collector with training costs measured on-line in the process. Implements PLearn::PLearner. Definition at line 1018 of file GaussianContinuum.cc. References batch_size, Bs, PLearn::TMat< T >::clear(), compute_cost_every_n_epochs, compute_train_and_validation_costs(), PLearn::computeNearestNeighbors(), cost_of_one_example, PLearn::endl(), PLearn::exp(), Fs, get_image_matrix(), PLearn::hconcat(), image_nearest_neighbors, image_points_mat, image_points_vmat, image_prob_mat, PLearn::PLearner::inputsize(), PLearn::VMat::length(), PLearn::TMat< T >::length(), PLearn::load(), PLearn::local_neighbors_differences(), PLearn::log(), Log2Pi, lower_x, lower_y, make_random_walk(), PLearn::meanOf(), mu, mus, n, n_dim, n_neighbors, n_neighbors_density, n_random_walk_per_point, n_random_walk_step, neighbor_row, noisy_data, optimizer, output_f_all, parameters, PLERROR, points_per_dim, PLearn::pownorm(), PLearn::product(), PLearn::TVec< T >::resize(), PLearn::TMat< int >::resize(), PLearn::TMat< T >::resize(), PLearn::save(), save_image_mat, sm, sms, sn, sns, PLearn::substract(), sum_nll, t_row, PLearn::tostring(), train_nearest_neighbors, PLearn::transposeProduct(), PLearn::ProgressBar::update(), upper_x, upper_y, use_best_model, validation_nearest_neighbors, w, PLearn::VMat::width(), x, x_minus_neighbor, z, zm, and zn.

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Member Data Documentation

string PLearn::GaussianContinuum::architecture_type

Definition at line 147 of file GaussianContinuum.h. Referenced by build_(), and initializeParams().

Var PLearn::GaussianContinuum::b [protected]

Definition at line 68 of file GaussianContinuum.h. Referenced by makeDeepCopyFromShallowCopy().

int PLearn::GaussianContinuum::batch_size

Definition at line 151 of file GaussianContinuum.h. Referenced by train().

real PLearn::GaussianContinuum::best_validation_cost [protected]

Definition at line 96 of file GaussianContinuum.h. Referenced by build_(), and compute_train_and_validation_costs().

TVec< Mat > PLearn::GaussianContinuum::Bs [protected]

Definition at line 86 of file GaussianContinuum.h. Referenced by build_(), compute_train_and_validation_costs(), get_image_matrix(), make_random_walk(), and train().

Var PLearn::GaussianContinuum::c [protected]

Definition at line 68 of file GaussianContinuum.h. Referenced by build_(), initializeParams(), and makeDeepCopyFromShallowCopy().

int PLearn::GaussianContinuum::compute_cost_every_n_epochs

Definition at line 136 of file GaussianContinuum.h. Referenced by train().

Func PLearn::GaussianContinuum::cost_of_one_example [protected]

Definition at line 65 of file GaussianContinuum.h. Referenced by build_(), makeDeepCopyFromShallowCopy(), and train().

PP<PDistribution> PLearn::GaussianContinuum::dist [protected]

Definition at line 77 of file GaussianContinuum.h. Referenced by build_().

Var PLearn::GaussianContinuum::embedding

Definition at line 139 of file GaussianContinuum.h. Referenced by build_().

TVec< Mat > PLearn::GaussianContinuum::Fs [protected]

Definition at line 86 of file GaussianContinuum.h. Referenced by build_(), compute_train_and_validation_costs(), get_image_matrix(), make_random_walk(), and train().

TMat<int> PLearn::GaussianContinuum::image_nearest_neighbors

Definition at line 122 of file GaussianContinuum.h. Referenced by get_image_matrix(), and train().

Mat PLearn::GaussianContinuum::image_points_mat

Definition at line 120 of file GaussianContinuum.h. Referenced by train().

VMat PLearn::GaussianContinuum::image_points_vmat

Definition at line 119 of file GaussianContinuum.h. Referenced by train().

Mat PLearn::GaussianContinuum::image_prob_mat

Definition at line 121 of file GaussianContinuum.h. Referenced by train().

Array<VMat> PLearn::GaussianContinuum::ith_step_generated_set [protected]

Definition at line 80 of file GaussianContinuum.h. Referenced by make_random_walk().

real PLearn::GaussianContinuum::lower_x

Definition at line 126 of file GaussianContinuum.h. Referenced by train().

real PLearn::GaussianContinuum::lower_y

Definition at line 124 of file GaussianContinuum.h. Referenced by train().

real PLearn::GaussianContinuum::min_diff

Definition at line 129 of file GaussianContinuum.h. Referenced by build_().

real PLearn::GaussianContinuum::min_sigma

Definition at line 128 of file GaussianContinuum.h. Referenced by build_().

Var PLearn::GaussianContinuum::mu [protected]

Definition at line 73 of file GaussianContinuum.h. Referenced by build_(), compute_train_and_validation_costs(), make_random_walk(), makeDeepCopyFromShallowCopy(), and train().

Var PLearn::GaussianContinuum::mu_noisy [protected]

Definition at line 73 of file GaussianContinuum.h. Referenced by build_().

Mat PLearn::GaussianContinuum::mus [protected]

Definition at line 87 of file GaussianContinuum.h. Referenced by build_(), compute_train_and_validation_costs(), get_image_matrix(), make_random_walk(), and train().

Var PLearn::GaussianContinuum::muV [protected]

Definition at line 68 of file GaussianContinuum.h. Referenced by build_(), initializeParams(), and makeDeepCopyFromShallowCopy().

int PLearn::GaussianContinuum::n [protected]

Definition at line 64 of file GaussianContinuum.h. Referenced by build_(), compute_train_and_validation_costs(), computeOutput(), get_image_matrix(), make_random_walk(), and train().

int PLearn::GaussianContinuum::n_dim

Definition at line 135 of file GaussianContinuum.h. Referenced by build_(), compute_train_and_validation_costs(), computeOutput(), get_image_matrix(), make_random_walk(), and train().

int PLearn::GaussianContinuum::n_hidden_units

Definition at line 149 of file GaussianContinuum.h. Referenced by build_(), and initializeParams().

int PLearn::GaussianContinuum::n_neighbors

Definition at line 133 of file GaussianContinuum.h. Referenced by build_(), and train().

int PLearn::GaussianContinuum::n_neighbors_density

Definition at line 134 of file GaussianContinuum.h. Referenced by build_(), compute_train_and_validation_costs(), get_image_matrix(), and train().

int PLearn::GaussianContinuum::n_random_walk_per_point

Definition at line 117 of file GaussianContinuum.h. Referenced by make_random_walk(), and train().

int PLearn::GaussianContinuum::n_random_walk_step

Definition at line 116 of file GaussianContinuum.h. Referenced by make_random_walk(), and train().

Var PLearn::GaussianContinuum::neigbor_indexes [protected]

Definition at line 74 of file GaussianContinuum.h.

Vec PLearn::GaussianContinuum::neighbor_row [protected]

Definition at line 94 of file GaussianContinuum.h. Referenced by build_(), compute_train_and_validation_costs(), get_image_matrix(), and train().

real PLearn::GaussianContinuum::noise

Definition at line 114 of file GaussianContinuum.h. Referenced by build_().

string PLearn::GaussianContinuum::noise_type

Definition at line 115 of file GaussianContinuum.h. Referenced by build_().

Var PLearn::GaussianContinuum::noise_var [protected]

Definition at line 67 of file GaussianContinuum.h. Referenced by build_().

Func PLearn::GaussianContinuum::noisy_data

Definition at line 144 of file GaussianContinuum.h. Referenced by build_(), and train().

real PLearn::GaussianContinuum::norm_penalization

Definition at line 153 of file GaussianContinuum.h.

PP<Optimizer> PLearn::GaussianContinuum::optimizer

Definition at line 138 of file GaussianContinuum.h. Referenced by initializeParams(), makeDeepCopyFromShallowCopy(), and train().

Func PLearn::GaussianContinuum::output_f

Definition at line 140 of file GaussianContinuum.h. Referenced by build_(), computeOutput(), and outputsize().

Func PLearn::GaussianContinuum::output_f_all

Definition at line 141 of file GaussianContinuum.h. Referenced by build_(), compute_train_and_validation_costs(), make_random_walk(), and train().

string PLearn::GaussianContinuum::output_type

Definition at line 148 of file GaussianContinuum.h. Referenced by build_(), computeOutput(), and outputsize().

Var PLearn::GaussianContinuum::p_neighbors [protected]

Definition at line 74 of file GaussianContinuum.h. Referenced by build_().

Var PLearn::GaussianContinuum::p_target [protected]

Definition at line 74 of file GaussianContinuum.h. Referenced by build_().

Var PLearn::GaussianContinuum::p_x [protected]

Definition at line 74 of file GaussianContinuum.h. Referenced by build_(), compute_train_and_validation_costs(), and initializeParams().

VarArray PLearn::GaussianContinuum::parameters [protected]

Definition at line 103 of file GaussianContinuum.h. Referenced by build_(), makeDeepCopyFromShallowCopy(), and train().

int PLearn::GaussianContinuum::points_per_dim

Definition at line 127 of file GaussianContinuum.h. Referenced by get_image_matrix(), and train().

Func PLearn::GaussianContinuum::predictor

Definition at line 142 of file GaussianContinuum.h. Referenced by build_(), compute_train_and_validation_costs(), make_random_walk(), and makeDeepCopyFromShallowCopy().

bool PLearn::GaussianContinuum::print_parameters

Definition at line 130 of file GaussianContinuum.h. Referenced by compute_train_and_validation_costs().

Func PLearn::GaussianContinuum::projection_error_f

Definition at line 143 of file GaussianContinuum.h.

real PLearn::GaussianContinuum::projection_error_regularization

Definition at line 155 of file GaussianContinuum.h.

Vec PLearn::GaussianContinuum::S_svd [protected]

Definition at line 92 of file GaussianContinuum.h. Referenced by compute_train_and_validation_costs(), and make_random_walk().

bool PLearn::GaussianContinuum::save_image_mat

Definition at line 118 of file GaussianContinuum.h. Referenced by train().

Var PLearn::GaussianContinuum::sm [protected]

Definition at line 73 of file GaussianContinuum.h. Referenced by build_(), compute_train_and_validation_costs(), make_random_walk(), makeDeepCopyFromShallowCopy(), and train().

bool PLearn::GaussianContinuum::sm_bigger_than_sn

Definition at line 131 of file GaussianContinuum.h. Referenced by build_().

Var PLearn::GaussianContinuum::smb [protected]

Definition at line 68 of file GaussianContinuum.h. Referenced by build_(), initializeParams(), and makeDeepCopyFromShallowCopy().

Vec PLearn::GaussianContinuum::sms [protected]

Definition at line 88 of file GaussianContinuum.h. Referenced by build_(), compute_train_and_validation_costs(), get_image_matrix(), make_random_walk(), and train().

Var PLearn::GaussianContinuum::smV [protected]

Definition at line 68 of file GaussianContinuum.h. Referenced by build_(), initializeParams(), and makeDeepCopyFromShallowCopy().

Var PLearn::GaussianContinuum::sn [protected]

Definition at line 73 of file GaussianContinuum.h. Referenced by build_(), compute_train_and_validation_costs(), make_random_walk(), makeDeepCopyFromShallowCopy(), and train().

Var PLearn::GaussianContinuum::snb [protected]

Definition at line 68 of file GaussianContinuum.h. Referenced by build_(), initializeParams(), and makeDeepCopyFromShallowCopy().

Vec PLearn::GaussianContinuum::sns [protected]

Definition at line 89 of file GaussianContinuum.h. Referenced by build_(), compute_train_and_validation_costs(), get_image_matrix(), make_random_walk(), and train().

Var PLearn::GaussianContinuum::snV [protected]

Definition at line 68 of file GaussianContinuum.h. Referenced by build_(), initializeParams(), and makeDeepCopyFromShallowCopy().

Var PLearn::GaussianContinuum::sum_nll [protected]

Definition at line 75 of file GaussianContinuum.h. Referenced by build_(), and train().

real PLearn::GaussianContinuum::svd_threshold

Definition at line 154 of file GaussianContinuum.h. Referenced by build_(), compute_train_and_validation_costs(), and make_random_walk().

Vec PLearn::GaussianContinuum::t_row [protected]

Definition at line 94 of file GaussianContinuum.h. Referenced by build_(), compute_train_and_validation_costs(), get_image_matrix(), make_random_walk(), and train().

Var PLearn::GaussianContinuum::tangent_plane [protected]

Definition at line 72 of file GaussianContinuum.h. Referenced by build_(), compute_train_and_validation_costs(), and make_random_walk().

Var PLearn::GaussianContinuum::tangent_targets [protected]

Definition at line 71 of file GaussianContinuum.h. Referenced by build_(), and makeDeepCopyFromShallowCopy().

Var PLearn::GaussianContinuum::target_index [protected]

Definition at line 74 of file GaussianContinuum.h. Referenced by build_().

VMat PLearn::GaussianContinuum::train_and_generated_set [protected]

Definition at line 83 of file GaussianContinuum.h. Referenced by get_image_matrix(), and make_random_walk().

TMat<int> PLearn::GaussianContinuum::train_nearest_neighbors [protected]

Definition at line 84 of file GaussianContinuum.h. Referenced by build_(), compute_train_and_validation_costs(), and train().

real PLearn::GaussianContinuum::upper_x

Definition at line 125 of file GaussianContinuum.h. Referenced by train().

real PLearn::GaussianContinuum::upper_y

Definition at line 123 of file GaussianContinuum.h. Referenced by train().

bool PLearn::GaussianContinuum::use_best_model

Definition at line 132 of file GaussianContinuum.h. Referenced by compute_train_and_validation_costs(), and train().

bool PLearn::GaussianContinuum::use_noise

Definition at line 113 of file GaussianContinuum.h. Referenced by build_().

Mat PLearn::GaussianContinuum::Ut_svd [protected]

Definition at line 91 of file GaussianContinuum.h. Referenced by build_(), compute_train_and_validation_costs(), and make_random_walk().

Var PLearn::GaussianContinuum::V [protected]

Definition at line 68 of file GaussianContinuum.h. Referenced by build_(), initializeParams(), and makeDeepCopyFromShallowCopy().

Mat PLearn::GaussianContinuum::V_svd [protected]

Definition at line 91 of file GaussianContinuum.h. Referenced by build_(), compute_train_and_validation_costs(), and make_random_walk().

TMat<int> PLearn::GaussianContinuum::validation_nearest_neighbors [protected]

Definition at line 85 of file GaussianContinuum.h. Referenced by build_(), compute_train_and_validation_costs(), and train().

string PLearn::GaussianContinuum::variances_transfer_function

Definition at line 137 of file GaussianContinuum.h.

Func PLearn::GaussianContinuum::verify_gradient_func [protected]

Definition at line 66 of file GaussianContinuum.h. Referenced by build_().

Vec PLearn::GaussianContinuum::w [protected]

Definition at line 93 of file GaussianContinuum.h. Referenced by build_(), compute_train_and_validation_costs(), get_image_matrix(), and train().

Var PLearn::GaussianContinuum::W [protected]

Definition at line 68 of file GaussianContinuum.h. Referenced by build_(), initializeParams(), and makeDeepCopyFromShallowCopy().

Var PLearn::GaussianContinuum::x [protected]

Definition at line 67 of file GaussianContinuum.h. Referenced by build_(), compute_train_and_validation_costs(), and train().

Vec PLearn::GaussianContinuum::x_minus_neighbor [protected]

Definition at line 93 of file GaussianContinuum.h. Referenced by build_(), compute_train_and_validation_costs(), get_image_matrix(), and train().

Vec PLearn::GaussianContinuum::z [protected]

Definition at line 93 of file GaussianContinuum.h. Referenced by build_(), compute_train_and_validation_costs(), get_image_matrix(), make_random_walk(), and train().

Vec PLearn::GaussianContinuum::zm [protected]

Definition at line 93 of file GaussianContinuum.h. Referenced by build_(), compute_train_and_validation_costs(), get_image_matrix(), and train().

Vec PLearn::GaussianContinuum::zn [protected]

Definition at line 93 of file GaussianContinuum.h. Referenced by build_(), compute_train_and_validation_costs(), get_image_matrix(), and train().

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The documentation for this class was generated from the following files:

• GaussianContinuum.h
• GaussianContinuum.cc

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