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, validpublic 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.Parameterspublic java.lang.String fullName()
fullName in class hex.Model.Parameterspublic java.lang.String javaName()
javaName in class hex.Model.Parameterspublic long progressUnits()
progressUnits in class hex.Model.Parameterspublic GLMModel.GLMParameters.MissingValuesHandling missingValuesHandling()
public boolean imputeMissing()
public DataInfo.Imputer makeImputer()
public void setDistributionFamily(hex.genmodel.utils.DistributionFamily distributionFamily)
setDistributionFamily in class hex.Model.Parameterspublic hex.genmodel.utils.DistributionFamily getDistributionFamily()
getDistributionFamily in class hex.Model.Parameters