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
double	gamma_x Regularization weight on X matrix
double	gamma_y Regularization weight on Y matrix
boolean	ignore_const_cols Ignore constant columns
java.lang.String[]	ignored_columns Ignored columns
Initialization	init Initialization mode
double	init_step_size Initial step size
int	k Rank of matrix approximation
java.lang.String	loading_key Frame key to save resulting X
Loss	loss Loss function
int	max_iterations Maximum number of iterations
double	min_step_size Minimum step size
java.lang.String	model_id Destination id for this model; auto-generated if not specified
boolean	recover_pca Recover principal components
Regularizer	regularization_x Regularization function for X matrix
Regularizer	regularization_y Regularization function for Y matrix
boolean	score_each_iteration Whether to score during each iteration of model training
long	seed RNG seed for initialization
java.lang.String	training_frame Training frame
TransformType	transform Transformation of training data
java.lang.String	user_points User-specified initial Y
java.lang.String	validation_frame Validation frame

Constructor Summary

Constructors

Constructor and Description
GLRMParametersV3()

Method Summary

Methods inherited from class java.lang.Object

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

Field Detail

transform

public TransformType transform

Transformation of training data

k

public int k

Rank of matrix approximation

loss

public Loss loss

Loss function

regularization_x

public Regularizer regularization_x

Regularization function for X matrix

regularization_y

public Regularizer 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

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 Initialization init

Initialization mode

user_points

public java.lang.String user_points

User-specified initial Y

loading_key

public java.lang.String loading_key

Frame key to save resulting X

recover_pca

public boolean recover_pca

Recover principal components

model_id

public java.lang.String model_id

Destination id for this model; auto-generated if not specified

training_frame

public java.lang.String training_frame

Training frame

validation_frame

public java.lang.String validation_frame

Validation frame

ignored_columns

public java.lang.String[] ignored_columns

Ignored columns

ignore_const_cols

public boolean ignore_const_cols

Ignore constant columns

score_each_iteration

public boolean score_each_iteration

Whether to score during each iteration of model training

Constructor Detail

GLRMParametersV3

public GLRMParametersV3()