hex.glm

Class GLMModel.GLMParameters

java.lang.Object

water.Iced<hex.Model.Parameters>

hex.Model.Parameters

hex.glm.GLMModel.GLMParameters

All Implemented Interfaces:

java.io.Externalizable, java.io.Serializable, java.lang.Cloneable, water.Freezable<hex.Model.Parameters>

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

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

hex.Model.Parameters.CategoricalEncodingScheme, hex.Model.Parameters.FoldAssignmentScheme

Field Summary

Fields

Modifier and Type	Field and Description
double[]	_alpha
water.Key<water.fvec.Frame>	_beta_constraints
double	_beta_epsilon
boolean	_compute_p_values
boolean	_early_stopping
boolean	_exactLambdas
GLMModel.GLMParameters.Family	_family
double	_gradient_epsilon
java.lang.String[]	_interactions
boolean	_intercept
double[]	_lambda
double	_lambda_min_ratio
boolean	_lambda_search
GLMModel.GLMParameters.Link	_link
int	_max_active_predictors
int	_max_iterations
DeepLearningModel.DeepLearningParameters.MissingValuesHandling	_missing_values_handling
int	_nlambdas
boolean	_non_negative
double	_obj_reg
double	_objective_epsilon
double	_prior
boolean	_remove_collinear_columns
GLMModel.GLMParameters.Solver	_solver
boolean	_standardize
boolean	_stdOverride
double	_tweedie_link_power
double	_tweedie_variance_power
boolean	_use_all_factor_levels

Fields inherited from class hex.Model.Parameters

_auto_rebalance, _balance_classes, _categorical_encoding, _checkpoint, _class_sampling_factors, _distribution, _fold_assignment, _fold_column, _huber_alpha, _ignore_const_cols, _ignored_columns, _is_cv_model, _keep_cross_validation_fold_assignment, _keep_cross_validation_predictions, _max_after_balance_size, _max_categorical_levels, _max_confusion_matrix_size, _max_runtime_secs, _nfolds, _offset_column, _parallelize_cross_validation, _pretrained_autoencoder, _quantile_alpha, _response_column, _score_each_iteration, _seed, _stopping_metric, _stopping_rounds, _stopping_tolerance, _train, _tweedie_power, _valid, _weights_column, MAX_SUPPORTED_LEVELS

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)
GLMModel.GLMParameters(GLMModel.GLMParameters.Family f, GLMModel.GLMParameters.Link l, double[] lambda, double[] alpha, double twVar, double twLnk, java.lang.String[] interactions)

Method Summary

Methods

Modifier and Type	Method and Description
java.lang.String	algoName()
boolean	canonical()
double	deviance(double yr, double ym)
double	deviance(float yr, float ym)
java.lang.String	fullName()
java.lang.String	javaName()
double	likelihood(double yr, double ym)
double	linkDeriv(double x)
double	linkInv(double x)
double	linkInvDeriv(double x)
long	progressUnits()
void	validate(GLM glm)
double	variance(double mu)

Methods inherited from class hex.Model.Parameters

checksum_impl, checksum, defaultDropConsCols, defaultStoppingTolerance, getOrMakeRealSeed, hasCheckpoint, missingColumnsType, read_lock_frames, read_unlock_frames, setTrain, train, valid

Methods inherited from class water.Iced

asBytes, clone, copyOver, frozenType, read, readExternal, readJSON, reloadFromBytes, toJsonString, write, writeExternal, 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

_missing_values_handling

public DeepLearningModel.DeepLearningParameters.MissingValuesHandling _missing_values_handling

_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

_intercept

public boolean _intercept

_beta_epsilon

public double _beta_epsilon

_objective_epsilon

public double _objective_epsilon

_gradient_epsilon

public double _gradient_epsilon

_obj_reg

public double _obj_reg

_compute_p_values

public boolean _compute_p_values

_remove_collinear_columns

public boolean _remove_collinear_columns

_interactions

public java.lang.String[] _interactions

_early_stopping

public boolean _early_stopping

_beta_constraints

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

_max_active_predictors

public int _max_active_predictors

_stdOverride

public boolean _stdOverride

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)

GLMModel.GLMParameters

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

Method Detail

algoName

public java.lang.String algoName()

Specified by:

algoName in class hex.Model.Parameters

fullName

public java.lang.String fullName()

Specified by:

fullName in class hex.Model.Parameters

javaName

public java.lang.String javaName()

Specified by:

javaName in class hex.Model.Parameters

progressUnits

public long progressUnits()

Specified by:

progressUnits in class hex.Model.Parameters

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)

linkDeriv

public final double linkDeriv(double x)

linkInv

public final double linkInv(double x)

linkInvDeriv

public final double linkInvDeriv(double x)