hex.glm

Class GLMModel.GLMParameters

java.lang.Object

water.Iced

hex.Model.Parameters

hex.glm.GLMModel.GLMParameters

All Implemented Interfaces:

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

Enclosing class:

GLMModel

public static class GLMModel.GLMParameters
extends hex.Model.Parameters

See Also:

Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	GLMModel.GLMParameters.Family
static class	GLMModel.GLMParameters.Link
static class	GLMModel.GLMParameters.Solver

Field Summary

Fields

Modifier and Type	Field and Description
double[]	_alpha
water.Key<water.fvec.Frame>	_beta_constraints
double	_beta_epsilon
boolean	_exactLambdas
GLMModel.GLMParameters.Family	_family
double	_gradient_epsilon
boolean	_intercept
double[]	_lambda
double	_lambda_min_ratio
boolean	_lambda_search
GLMModel.GLMParameters.Link	_link
int	_max_active_predictors
int	_max_iterations
int	_n_folds
int	_nlambdas
boolean	_non_negative
double	_objective_epsilon
double	_prior
GLMModel.GLMParameters.Solver	_solver
boolean	_standardize
double	_tweedie_link_power
double	_tweedie_variance_power
boolean	_use_all_factor_levels

Fields inherited from class hex.Model.Parameters

_balance_classes, _class_sampling_factors, _ignore_const_cols, _ignored_columns, _max_after_balance_size, _max_confusion_matrix_size, _max_hit_ratio_k, _model_id, _offset_column, _response_column, _score_each_iteration, _train, _valid, _weights_column

Constructor Summary

Constructors

Constructor and Description
GLMModel.GLMParameters()
GLMModel.GLMParameters(GLMModel.GLMParameters.Family f)
GLMModel.GLMParameters(GLMModel.GLMParameters.Family f, GLMModel.GLMParameters.Link l)
GLMModel.GLMParameters(GLMModel.GLMParameters.Family f, GLMModel.GLMParameters.Link l, double[] lambda, double[] alpha, double twVar, double twLnk)

Method Summary

Methods

Modifier and Type	Method and Description
boolean	canonical()
double	deviance(double yr, double ym)
double	deviance(float yr, float ym)
double	likelihood(double yr, double ym)
double	link(double x)
double	linkDeriv(double x)
double	linkInv(double x)
double	linkInvDeriv(double x)
void	validate(GLM glm)
double	variance(double mu)

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

_standardize

public boolean _standardize

_family

public GLMModel.GLMParameters.Family _family

_link

public GLMModel.GLMParameters.Link _link

_solver

public GLMModel.GLMParameters.Solver _solver

_tweedie_variance_power

public double _tweedie_variance_power

_tweedie_link_power

public double _tweedie_link_power

_alpha

public double[] _alpha

_lambda

public double[] _lambda

_prior

public double _prior

_lambda_search

public boolean _lambda_search

_nlambdas

public int _nlambdas

_non_negative

public boolean _non_negative

_exactLambdas

public boolean _exactLambdas

_lambda_min_ratio

public double _lambda_min_ratio

_use_all_factor_levels

public boolean _use_all_factor_levels

_max_iterations

public int _max_iterations

_n_folds

public int _n_folds

_intercept

public boolean _intercept

_beta_epsilon

public double _beta_epsilon

_objective_epsilon

public double _objective_epsilon

_gradient_epsilon

public double _gradient_epsilon

_beta_constraints

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

_max_active_predictors

public int _max_active_predictors

Constructor Detail

GLMModel.GLMParameters

public GLMModel.GLMParameters()

GLMModel.GLMParameters

public GLMModel.GLMParameters(GLMModel.GLMParameters.Family f)

GLMModel.GLMParameters

public GLMModel.GLMParameters(GLMModel.GLMParameters.Family f,
                      GLMModel.GLMParameters.Link l)

GLMModel.GLMParameters

public GLMModel.GLMParameters(GLMModel.GLMParameters.Family f,
                      GLMModel.GLMParameters.Link l,
                      double[] lambda,
                      double[] alpha,
                      double twVar,
                      double twLnk)

Method Detail

validate

public void validate(GLM glm)

variance

public final double variance(double mu)

canonical

public final boolean canonical()

deviance

public final double deviance(double yr,
              double ym)

deviance

public final double deviance(float yr,
              float ym)

likelihood

public final double likelihood(double yr,
                double ym)

link

public final double link(double x)

linkDeriv

public final double linkDeriv(double x)

linkInv

public final double linkInv(double x)

linkInvDeriv

public final double linkInvDeriv(double x)