hex.hglm

Class HGLMModel.HGLMParameters

java.lang.Object

water.Iced<hex.Model.Parameters>

hex.Model.Parameters

hex.hglm.HGLMModel.HGLMParameters

All Implemented Interfaces:

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

Enclosing class:

HGLMModel

public static class HGLMModel.HGLMParameters
extends hex.Model.Parameters

See Also:

Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	HGLMModel.HGLMParameters.Method

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	_em_epsilon
GLMModel.GLMParameters.Family	_family
boolean	_gen_syn_data
java.lang.String	_group_column
double[]	_initial_fixed_effects
water.Key	_initial_random_effects
water.Key	_initial_t_matrix
int	_max_iterations
HGLMModel.HGLMParameters.Method	_method
java.io.Serializable	_missing_values_handling
water.Key<water.fvec.Frame>	_plug_values
java.lang.String[]	_random_columns
GLMModel.GLMParameters.Family	_random_family
boolean	_random_intercept
boolean	_score_each_iteration
int	_score_iteration_interval
long	_seed
boolean	_showFixedMatVecs
double	_tau_e_var_init
double	_tau_u_var_init
boolean	_use_all_factor_levels

Fields inherited from class hex.Model.Parameters

_auc_type, _auto_rebalance, _auuc_nbins, _auuc_type, _balance_classes, _categorical_encoding, _check_constant_response, _checkpoint, _class_sampling_factors, _custom_distribution_func, _custom_metric_func, _cv_fold, _distribution, _export_checkpoints_dir, _fold_assignment, _fold_column, _gainslift_bins, _huber_alpha, _ignore_const_cols, _ignored_columns, _is_cv_model, _keep_cross_validation_fold_assignment, _keep_cross_validation_models, _keep_cross_validation_predictions, _keep_cross_validation_predictions_precision, _main_model_time_budget_factor, _max_after_balance_size, _max_categorical_levels, _max_confusion_matrix_size, _max_runtime_secs, _nfolds, _offset_column, _parallelize_cross_validation, _preprocessors, _pretrained_autoencoder, _quantile_alpha, _response_column, _stopping_metric, _stopping_rounds, _stopping_tolerance, _train, _treatment_column, _tweedie_power, _valid, _weights_column, MAX_SUPPORTED_LEVELS

Constructor Summary

Constructors

Constructor and Description
HGLMParameters()

Method Summary

Modifier and Type	Method and Description
java.lang.String	algoName()
java.lang.String	fullName()
boolean	imputeMissing()
java.lang.String	javaName()
DataInfo.Imputer	makeImputer()
GLMModel.GLMParameters.MissingValuesHandling	missingValuesHandling()
long	progressUnits()

Methods inherited from class hex.Model.Parameters

checksum, checksum, defaultDropConsCols, defaultStoppingTolerance, getCategoricalEncoding, getDependentKeys, getDistributionFamily, getFoldColumn, getMaxCategoricalLevels, getNonPredictors, getOffsetColumn, getOrMakeRealSeed, getResponseColumn, getTreatmentColumn, getUsedColumns, getWeightsColumn, hasCheckpoint, hasCustomMetricFunc, missingColumnsType, read_lock_frames, read_unlock_frames, setDistributionFamily, setTrain, train, valid

Methods inherited from class water.Iced

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

Methods inherited from class java.lang.Object

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

Field Detail

_seed

public long _seed

_family

public GLMModel.GLMParameters.Family _family

_max_iterations

public int _max_iterations

_initial_fixed_effects

public double[] _initial_fixed_effects

_initial_random_effects

public water.Key _initial_random_effects

_initial_t_matrix

public water.Key _initial_t_matrix

_tau_u_var_init

public double _tau_u_var_init

_tau_e_var_init

public double _tau_e_var_init

_random_family

public GLMModel.GLMParameters.Family _random_family

_random_columns

public java.lang.String[] _random_columns

_method

public HGLMModel.HGLMParameters.Method _method

_em_epsilon

public double _em_epsilon

_random_intercept

public boolean _random_intercept

_group_column

public java.lang.String _group_column

_missing_values_handling

public java.io.Serializable _missing_values_handling

_plug_values

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

_use_all_factor_levels

public boolean _use_all_factor_levels

_showFixedMatVecs

public boolean _showFixedMatVecs

_score_iteration_interval

public int _score_iteration_interval

_score_each_iteration

public boolean _score_each_iteration

_gen_syn_data

public boolean _gen_syn_data

Constructor Detail

HGLMParameters

public HGLMParameters()

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

missingValuesHandling

public GLMModel.GLMParameters.MissingValuesHandling missingValuesHandling()

imputeMissing

public boolean imputeMissing()

makeImputer

public DataInfo.Imputer makeImputer()