public static class GLMModel.GLMParameters
extends hex.Model.Parameters
Modifier and Type | Class and Description |
---|---|
static class |
GLMModel.GLMParameters.Family |
static class |
GLMModel.GLMParameters.Link |
static class |
GLMModel.GLMParameters.Solver |
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 |
_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 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) |
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) |
checksum_impl, checksum, defaultDropConsCols, defaultStoppingTolerance, getOrMakeRealSeed, hasCheckpoint, missingColumnsType, read_lock_frames, read_unlock_frames, setTrain, train, valid
public boolean _standardize
public GLMModel.GLMParameters.Family _family
public GLMModel.GLMParameters.Link _link
public GLMModel.GLMParameters.Solver _solver
public double _tweedie_variance_power
public double _tweedie_link_power
public double[] _alpha
public double[] _lambda
public DeepLearningModel.DeepLearningParameters.MissingValuesHandling _missing_values_handling
public double _prior
public boolean _lambda_search
public int _nlambdas
public boolean _non_negative
public boolean _exactLambdas
public double _lambda_min_ratio
public boolean _use_all_factor_levels
public int _max_iterations
public boolean _intercept
public double _beta_epsilon
public double _objective_epsilon
public double _gradient_epsilon
public double _obj_reg
public boolean _compute_p_values
public boolean _remove_collinear_columns
public java.lang.String[] _interactions
public boolean _early_stopping
public water.Key<water.fvec.Frame> _beta_constraints
public int _max_active_predictors
public boolean _stdOverride
public GLMModel.GLMParameters()
public GLMModel.GLMParameters(GLMModel.GLMParameters.Family f)
public GLMModel.GLMParameters(GLMModel.GLMParameters.Family f, GLMModel.GLMParameters.Link l)
public GLMModel.GLMParameters(GLMModel.GLMParameters.Family f, GLMModel.GLMParameters.Link l, double[] lambda, double[] alpha, double twVar, double twLnk)
public GLMModel.GLMParameters(GLMModel.GLMParameters.Family f, GLMModel.GLMParameters.Link l, double[] lambda, double[] alpha, double twVar, double twLnk, java.lang.String[] interactions)
public java.lang.String algoName()
algoName
in class hex.Model.Parameters
public java.lang.String fullName()
fullName
in class hex.Model.Parameters
public java.lang.String javaName()
javaName
in class hex.Model.Parameters
public long progressUnits()
progressUnits
in class hex.Model.Parameters
public void validate(GLM glm)
public final double variance(double mu)
public final boolean canonical()
public final double deviance(double yr, double ym)
public final double deviance(float yr, float ym)
public final double likelihood(double yr, double ym)
public final double linkDeriv(double x)
public final double linkInv(double x)
public final double linkInvDeriv(double x)