water.bindings.pojos

Class GLRMParametersV3

java.lang.Object

water.bindings.pojos.Schema

water.bindings.pojos.ModelParametersSchema

water.bindings.pojos.GLRMParametersV3

public class GLRMParametersV3
extends ModelParametersSchema

Field Summary

Fields

Modifier and Type	Field and Description
boolean	expand_user_y Expand categorical columns in user-specified initial Y
double	gamma_x Regularization weight on X matrix
double	gamma_y Regularization weight on Y matrix
boolean	impute_original Reconstruct original training data by reversing transform
GlrmGLRMInitialization	init Initialization mode
double	init_step_size Initial step size
int	k Rank of matrix approximation
java.lang.String	loading_name Frame key to save resulting X
GlrmGLRMModelGLRMParametersLoss	loss Numeric loss function
GlrmGLRMModelGLRMParametersLoss[]	loss_by_col Loss function by column (override)
int[]	loss_by_col_idx Loss function by column index (override)
int	max_iterations Maximum number of iterations
int	max_updates Maximum number of updates
double	min_step_size Minimum step size
GlrmGLRMModelGLRMParametersLoss	multi_loss Categorical loss function
int	period Length of period (only used with periodic loss function)
boolean	recover_svd Recover singular values and eigenvectors of XY
GlrmGLRMModelGLRMParametersRegularizer	regularization_x Regularization function for X matrix
GlrmGLRMModelGLRMParametersRegularizer	regularization_y Regularization function for Y matrix
long	seed RNG seed for initialization
SvdSVDModelSVDParametersMethod	svd_method Method for computing SVD during initialization (Caution: Power and Randomized are currently experimental and unstable)
DataInfoTransformType	transform Transformation of training data
FrameKeyV3	user_x User-specified initial X
FrameKeyV3	user_y User-specified initial Y

Fields inherited from class water.bindings.pojos.ModelParametersSchema

checkpoint, fold_assignment, fold_column, ignore_const_cols, ignored_columns, keep_cross_validation_fold_assignment, keep_cross_validation_predictions, max_runtime_secs, model_id, nfolds, offset_column, parallelize_cross_validation, response_column, score_each_iteration, stopping_metric, stopping_rounds, stopping_tolerance, training_frame, validation_frame, weights_column

Constructor Summary

Constructors

Constructor and Description
GLRMParametersV3()

Method Summary

Methods

Modifier and Type	Method and Description
java.lang.String	toString() Return the contents of this object as a JSON String.

Methods inherited from class java.lang.Object

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

Field Detail

transform

public DataInfoTransformType transform

Transformation of training data

k

public int k

Rank of matrix approximation

loss

public GlrmGLRMModelGLRMParametersLoss loss

Numeric loss function

multi_loss

public GlrmGLRMModelGLRMParametersLoss multi_loss

Categorical loss function

loss_by_col

public GlrmGLRMModelGLRMParametersLoss[] loss_by_col

Loss function by column (override)

loss_by_col_idx

public int[] loss_by_col_idx

Loss function by column index (override)

period

public int period

Length of period (only used with periodic loss function)

regularization_x

public GlrmGLRMModelGLRMParametersRegularizer regularization_x

Regularization function for X matrix

regularization_y

public GlrmGLRMModelGLRMParametersRegularizer regularization_y

Regularization function for Y matrix

gamma_x

public double gamma_x

Regularization weight on X matrix

gamma_y

public double gamma_y

Regularization weight on Y matrix

max_iterations

public int max_iterations

Maximum number of iterations

max_updates

public int max_updates

Maximum number of updates

init_step_size

public double init_step_size

Initial step size

min_step_size

public double min_step_size

Minimum step size

seed

public long seed

RNG seed for initialization

init

public GlrmGLRMInitialization init

Initialization mode

svd_method

public SvdSVDModelSVDParametersMethod svd_method

Method for computing SVD during initialization (Caution: Power and Randomized are currently experimental and unstable)

user_y

public FrameKeyV3 user_y

User-specified initial Y

user_x

public FrameKeyV3 user_x

User-specified initial X

loading_name

public java.lang.String loading_name

Frame key to save resulting X

expand_user_y

public boolean expand_user_y

Expand categorical columns in user-specified initial Y

impute_original

public boolean impute_original

Reconstruct original training data by reversing transform

recover_svd

public boolean recover_svd

Recover singular values and eigenvectors of XY

Constructor Detail

GLRMParametersV3

public GLRMParametersV3()

Method Detail

toString

public java.lang.String toString()

Return the contents of this object as a JSON String.

Overrides:

toString in class ModelParametersSchema