public class DummyModelParameters
extends hex.Model.Parameters
| Modifier and Type | Field and Description |
|---|---|
DummyAction |
_action |
boolean |
_cancel_job |
boolean |
_makeModel |
_auc_type, _auto_rebalance, _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, _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, _tweedie_power, _valid, _weights_column, MAX_SUPPORTED_LEVELS| Constructor and Description |
|---|
DummyModelParameters() |
DummyModelParameters(java.lang.String msg,
water.Key trgt) |
| Modifier and Type | Method and Description |
|---|---|
java.lang.String |
algoName() |
java.lang.String |
fullName() |
java.lang.String |
javaName() |
long |
progressUnits() |
checksum, checksum, defaultDropConsCols, defaultStoppingTolerance, getNonPredictors, getOrMakeRealSeed, hasCheckpoint, missingColumnsType, read_lock_frames, read_unlock_frames, setTrain, train, validpublic DummyAction _action
public boolean _makeModel
public boolean _cancel_job
public DummyModelParameters()
public DummyModelParameters(java.lang.String msg,
water.Key trgt)
public java.lang.String fullName()
fullName in class hex.Model.Parameterspublic java.lang.String algoName()
algoName in class hex.Model.Parameterspublic java.lang.String javaName()
javaName in class hex.Model.Parameterspublic long progressUnits()
progressUnits in class hex.Model.Parameters