public static class PCAModel.PCAParameters
extends hex.Model.Parameters
| Modifier and Type | Class and Description |
|---|---|
static class |
PCAModel.PCAParameters.Method |
| Modifier and Type | Field and Description |
|---|---|
boolean |
_compute_metrics |
boolean |
_impute_missing |
int |
_k |
int |
_max_iterations |
PCAModel.PCAParameters.Method |
_pca_method |
long |
_seed |
DataInfo.TransformType |
_transform |
boolean |
_use_all_factor_levels |
_balance_classes, _checkpoint, _class_sampling_factors, _distribution, _fold_assignment, _fold_column, _ignore_const_cols, _ignored_columns, _keep_cross_validation_predictions, _max_after_balance_size, _max_confusion_matrix_size, _max_hit_ratio_k, _model_id, _nfolds, _offset_column, _response_column, _score_each_iteration, _train, _tweedie_power, _valid, _weights_column, MAX_SUPPORTED_LEVELS| Constructor and Description |
|---|
PCAModel.PCAParameters() |
checksum_impl, checksum, defaultDropConsCols, defaultDropNA20Cols, hasCheckpoint, missingColumnsType, read_lock_frames, read_unlock_frames, train, validpublic DataInfo.TransformType _transform
public PCAModel.PCAParameters.Method _pca_method
public int _k
public int _max_iterations
public long _seed
public boolean _use_all_factor_levels
public boolean _compute_metrics
public boolean _impute_missing