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 |
DataInfo.TransformType |
_transform |
boolean |
_use_all_factor_levels |
_auto_rebalance, _balance_classes, _categorical_encoding, _checkpoint, _class_sampling_factors, _distribution, _fold_assignment, _fold_column, _huber_alpha, _ignore_const_cols, _ignored_columns, _is_cv_model, _keep_cross_validation_fold_assignment, _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, _seed, _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() |
long |
progressUnits() |
checksum_impl, checksum, defaultDropConsCols, defaultStoppingTolerance, getOrMakeRealSeed, hasCheckpoint, missingColumnsType, read_lock_frames, read_unlock_frames, setTrain, train, valid
public DataInfo.TransformType _transform
public PCAModel.PCAParameters.Method _pca_method
public int _k
public int _max_iterations
public boolean _use_all_factor_levels
public boolean _compute_metrics
public boolean _impute_missing
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