public static class KMeansModel.KMeansParameters
extends hex.ClusteringModel.ClusteringParameters
| Modifier and Type | Field and Description |
|---|---|
KMeans.Initialization |
_init |
int |
_max_iterations |
boolean |
_pred_indicator |
long |
_seed |
boolean |
_standardize |
water.Key<water.fvec.Frame> |
_user_points |
_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 |
|---|
KMeansModel.KMeansParameters() |
checksum_impl, checksum, defaultDropConsCols, defaultDropNA20Cols, hasCheckpoint, missingColumnsType, read_lock_frames, read_unlock_frames, train, validpublic int _max_iterations
public boolean _standardize
public long _seed
public KMeans.Initialization _init
public water.Key<water.fvec.Frame> _user_points
public boolean _pred_indicator