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_runtime_secs, _nfolds, _offset_column, _parallelize_cross_validation, _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 |
|---|
PCAModel.PCAParameters() |
| Modifier and Type | Method and Description |
|---|---|
java.lang.String |
algoName() |
java.lang.String |
fullName() |
java.lang.String |
javaName() |
protected long |
nFoldSeed() |
long |
progressUnits() |
checksum_impl, checksum, defaultDropConsCols, defaultStoppingTolerance, 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
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.Parametersprotected long nFoldSeed()
nFoldSeed in class hex.Model.Parameters