public static class ANOVAGLMModel.ANOVAGLMParameters
extends hex.Model.Parameters
Modifier and Type | Field and Description |
---|---|
double[] |
_alpha |
boolean |
_compute_p_values |
GLMModel.GLMParameters.Family |
_family |
int |
_highest_interaction_term |
java.lang.String[] |
_interactions |
double |
_invTheta |
double[] |
_lambda |
boolean |
_lambda_search |
GLMModel.GLMParameters.Link |
_link |
java.io.Serializable |
_missing_values_handling |
int |
_nfolds |
int |
_nparallelism |
water.Key<water.fvec.Frame> |
_plug_values |
boolean |
_remove_collinear_columns |
boolean |
_save_transformed_framekeys |
GLMModel.GLMParameters.Solver |
_solver |
boolean |
_standardize |
double |
_theta |
double |
_tweedie_link_power |
double |
_tweedie_variance_power |
_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, _offset_column, _parallelize_cross_validation, _preprocessors, _pretrained_autoencoder, _quantile_alpha, _response_column, _score_each_iteration, _seed, _stopping_metric, _stopping_rounds, _stopping_tolerance, _train, _treatment_column, _tweedie_power, _valid, _weights_column, MAX_SUPPORTED_LEVELS
Constructor and Description |
---|
ANOVAGLMParameters() |
Modifier and Type | Method and Description |
---|---|
java.lang.String |
algoName() |
java.lang.String |
fullName() |
hex.genmodel.utils.DistributionFamily |
getDistributionFamily() |
boolean |
imputeMissing() |
java.lang.String |
javaName() |
DataInfo.Imputer |
makeImputer() |
GLMModel.GLMParameters.MissingValuesHandling |
missingValuesHandling() |
long |
progressUnits() |
void |
setDistributionFamily(hex.genmodel.utils.DistributionFamily distributionFamily) |
checksum, checksum, defaultDropConsCols, defaultStoppingTolerance, getCategoricalEncoding, getDependentKeys, getFoldColumn, getMaxCategoricalLevels, getNonPredictors, getOffsetColumn, getOrMakeRealSeed, getResponseColumn, getTreatmentColumn, getUsedColumns, getWeightsColumn, hasCheckpoint, hasCustomMetricFunc, missingColumnsType, read_lock_frames, read_unlock_frames, setTrain, train, valid
public int _highest_interaction_term
public double[] _alpha
public double[] _lambda
public boolean _standardize
public GLMModel.GLMParameters.Family _family
public boolean _lambda_search
public GLMModel.GLMParameters.Link _link
public GLMModel.GLMParameters.Solver _solver
public java.lang.String[] _interactions
public double _tweedie_variance_power
public double _tweedie_link_power
public double _theta
public double _invTheta
public java.io.Serializable _missing_values_handling
public boolean _compute_p_values
public boolean _remove_collinear_columns
public int _nfolds
public water.Key<water.fvec.Frame> _plug_values
public boolean _save_transformed_framekeys
public int _nparallelism
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 GLMModel.GLMParameters.MissingValuesHandling missingValuesHandling()
public boolean imputeMissing()
public DataInfo.Imputer makeImputer()
public void setDistributionFamily(hex.genmodel.utils.DistributionFamily distributionFamily)
setDistributionFamily
in class hex.Model.Parameters
public hex.genmodel.utils.DistributionFamily getDistributionFamily()
getDistributionFamily
in class hex.Model.Parameters