public static class GAMModel.GAMParameters
extends hex.Model.Parameters
| Modifier and Type | Class and Description |
|---|---|
static class |
GAMModel.GAMParameters.BSType |
_auto_rebalance, _balance_classes, _categorical_encoding, _check_constant_response, _checkpoint, _class_sampling_factors, _custom_distribution_func, _custom_metric_func, _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, _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, _stopping_metric, _stopping_rounds, _stopping_tolerance, _train, _tweedie_power, _valid, _weights_column, MAX_SUPPORTED_LEVELS| Constructor and Description |
|---|
GAMParameters() |
| Modifier and Type | Method and Description |
|---|---|
java.lang.String |
algoName() |
java.lang.String |
fullName() |
hex.Model.InteractionSpec |
interactionSpec() |
java.lang.String |
javaName() |
static double |
linkInv(double x,
GLMModel.GLMParameters.Link link,
double tweedie_link_power) |
DataInfo.Imputer |
makeImputer() |
GLMModel.GLMParameters.MissingValuesHandling |
missingValuesHandling() |
long |
progressUnits() |
checksum, checksum, defaultDropConsCols, defaultStoppingTolerance, getOrMakeRealSeed, hasCheckpoint, missingColumnsType, read_lock_frames, read_unlock_frames, setTrain, train, validpublic 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 _theta
public double _invTheta
public double[] _alpha
public double[] _lambda
public java.io.Serializable _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 hex.StringPair[] _interaction_pairs
public boolean _early_stopping
public water.Key<water.fvec.Frame> _beta_constraints
public water.Key<water.fvec.Frame> _plug_values
public int _max_active_predictors
public boolean _stdOverride
public int[] _num_knots
public double[][] _knots
public java.lang.String[] _knot_ids
public java.lang.String[] _gam_columns
public int[] _bs
public double[] _scale
public GLMModel.GLMParameters.GLMType _glmType
public boolean _saveZMatrix
public boolean _keep_gam_cols
public boolean _savePenaltyMat
public long _seed
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 hex.Model.InteractionSpec interactionSpec()
public GLMModel.GLMParameters.MissingValuesHandling missingValuesHandling()
public DataInfo.Imputer makeImputer()
public static final double linkInv(double x,
GLMModel.GLMParameters.Link link,
double tweedie_link_power)