hex.glrm

Class GLRMModel.GLRMParameters

java.lang.Object

water.Iced

hex.Model.Parameters

hex.glrm.GLRMModel.GLRMParameters

All Implemented Interfaces:

java.io.Externalizable, java.io.Serializable, java.lang.Cloneable, water.Freezable

Enclosing class:

GLRMModel

public static class GLRMModel.GLRMParameters
extends hex.Model.Parameters

See Also:

Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	GLRMModel.GLRMParameters.Loss
static class	GLRMModel.GLRMParameters.MultiLoss
static class	GLRMModel.GLRMParameters.Regularizer

Nested classes/interfaces inherited from class hex.Model.Parameters

hex.Model.Parameters.FoldAssignmentScheme

Field Summary

Fields

Modifier and Type	Field and Description
double	_gamma_x
double	_gamma_y
GLRM.Initialization	_init
double	_init_step_size
int	_k
water.Key<water.fvec.Frame>	_loading_key
GLRMModel.GLRMParameters.Loss	_loss
int	_max_iterations
double	_min_step_size
GLRMModel.GLRMParameters.MultiLoss	_multi_loss
boolean	_recover_svd
GLRMModel.GLRMParameters.Regularizer	_regularization_x
GLRMModel.GLRMParameters.Regularizer	_regularization_y
long	_seed
DataInfo.TransformType	_transform
water.Key<water.fvec.Frame>	_user_points

Fields inherited from class hex.Model.Parameters

_balance_classes, _class_sampling_factors, _fold_assignment, _fold_column, _ignore_const_cols, _ignored_columns, _keep_cross_validation_predictions, _keep_cross_validation_splits, _max_after_balance_size, _max_confusion_matrix_size, _max_hit_ratio_k, _model_id, _nfolds, _offset_column, _response_column, _score_each_iteration, _train, _valid, _weights_column

Constructor Summary

Constructors

Constructor and Description
GLRMModel.GLRMParameters()

Method Summary

Methods

Modifier and Type	Method and Description
boolean	hasClosedForm()
double	lgrad(double u, double a)
double	loss(double u, double a)
double[]	mlgrad(double[] u, int a)
double	mloss(double[] u, int a)
double	regularize_x(double[] u)
double	regularize_x(double[][] u)
double	regularize_y(double[] u)
double	regularize_y(double[][] u)
double	regularize(double[][] u, GLRMModel.GLRMParameters.Regularizer regularization)
double	regularize(double[] u, GLRMModel.GLRMParameters.Regularizer regularization)
double[]	rproxgrad_x(double[] u, double alpha, java.util.Random rand)
double[]	rproxgrad_y(double[] u, double alpha, java.util.Random rand)
double[]	rproxgrad(double[] u, double alpha, double gamma, GLRMModel.GLRMParameters.Regularizer regularization, java.util.Random rand)

Methods inherited from class hex.Model.Parameters

checksum_impl, defaultDropConsCols, defaultDropNA20Cols, missingColumnsType, read_lock_frames, read_unlock_frames, train, valid

Methods inherited from class water.Iced

clone, frozenType, read_impl, read, readExternal, readJSON_impl, readJSON, toJsonString, write_impl, write, writeExternal, writeHTML_impl, writeHTML, writeJSON_impl, writeJSON

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

_k

public int _k

_loss

public GLRMModel.GLRMParameters.Loss _loss

_multi_loss

public GLRMModel.GLRMParameters.MultiLoss _multi_loss

_regularization_x

public GLRMModel.GLRMParameters.Regularizer _regularization_x

_regularization_y

public GLRMModel.GLRMParameters.Regularizer _regularization_y

_gamma_x

public double _gamma_x

_gamma_y

public double _gamma_y

_max_iterations

public int _max_iterations

_init_step_size

public double _init_step_size

_min_step_size

public double _min_step_size

_seed

public long _seed

_transform

public DataInfo.TransformType _transform

_init

public GLRM.Initialization _init

_user_points

public water.Key<water.fvec.Frame> _user_points

_loading_key

public water.Key<water.fvec.Frame> _loading_key

_recover_svd

public boolean _recover_svd

Constructor Detail

GLRMModel.GLRMParameters

public GLRMModel.GLRMParameters()

Method Detail

hasClosedForm

public final boolean hasClosedForm()

loss

public final double loss(double u,
          double a)

lgrad

public final double lgrad(double u,
           double a)

mloss

public final double mloss(double[] u,
           int a)

mlgrad

public final double[] mlgrad(double[] u,
              int a)

regularize_x

public final double regularize_x(double[] u)

regularize_y

public final double regularize_y(double[] u)

regularize

public final double regularize(double[] u,
                GLRMModel.GLRMParameters.Regularizer regularization)

regularize_x

public final double regularize_x(double[][] u)

regularize_y

public final double regularize_y(double[][] u)

regularize

public final double regularize(double[][] u,
                GLRMModel.GLRMParameters.Regularizer regularization)

rproxgrad_x

public final double[] rproxgrad_x(double[] u,
                   double alpha,
                   java.util.Random rand)

rproxgrad_y

public final double[] rproxgrad_y(double[] u,
                   double alpha,
                   java.util.Random rand)

rproxgrad

public final double[] rproxgrad(double[] u,
                 double alpha,
                 double gamma,
                 GLRMModel.GLRMParameters.Regularizer regularization,
                 java.util.Random rand)