public static class GLRMModel.GLRMParameters
extends hex.Model.Parameters
Modifier and Type | Field and Description |
---|---|
boolean |
_expand_user_y |
double |
_gamma_x |
double |
_gamma_y |
boolean |
_impute_original |
hex.genmodel.algos.glrm.GlrmInitialization |
_init |
double |
_init_step_size |
int |
_k |
java.lang.String |
_loading_name
Deprecated.
|
hex.genmodel.algos.glrm.GlrmLoss |
_loss |
hex.genmodel.algos.glrm.GlrmLoss[] |
_loss_by_col |
int[] |
_loss_by_col_idx |
int |
_max_iterations |
int |
_max_updates |
double |
_min_step_size |
hex.genmodel.algos.glrm.GlrmLoss |
_multi_loss |
int |
_period |
boolean |
_recover_svd |
hex.genmodel.algos.glrm.GlrmRegularizer |
_regularization_x |
hex.genmodel.algos.glrm.GlrmRegularizer |
_regularization_y |
java.lang.String |
_representation_name |
SVDModel.SVDParameters.Method |
_svd_method |
DataInfo.TransformType |
_transform |
water.Key<water.fvec.Frame> |
_user_x |
water.Key<water.fvec.Frame> |
_user_y |
boolean |
_verbose |
_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, _score_each_iteration, _seed, _stopping_metric, _stopping_rounds, _stopping_tolerance, _train, _treatment_column, _tweedie_power, _valid, _weights_column, MAX_SUPPORTED_LEVELS
Constructor and Description |
---|
GLRMParameters() |
Modifier and Type | Method and Description |
---|---|
java.lang.String |
algoName() |
java.lang.String |
fullName() |
java.lang.String |
javaName() |
long |
progressUnits() |
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
public DataInfo.TransformType _transform
public int _k
public hex.genmodel.algos.glrm.GlrmInitialization _init
public SVDModel.SVDParameters.Method _svd_method
public water.Key<water.fvec.Frame> _user_y
public water.Key<water.fvec.Frame> _user_x
public boolean _expand_user_y
public hex.genmodel.algos.glrm.GlrmLoss _loss
public hex.genmodel.algos.glrm.GlrmLoss _multi_loss
public int _period
public hex.genmodel.algos.glrm.GlrmLoss[] _loss_by_col
public int[] _loss_by_col_idx
public hex.genmodel.algos.glrm.GlrmRegularizer _regularization_x
public hex.genmodel.algos.glrm.GlrmRegularizer _regularization_y
public double _gamma_x
public double _gamma_y
public int _max_iterations
public int _max_updates
public double _init_step_size
public double _min_step_size
@Deprecated public java.lang.String _loading_name
public java.lang.String _representation_name
public boolean _recover_svd
public boolean _impute_original
public boolean _verbose
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