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_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 |
|---|
KMeansModel.KMeansParameters() |
| 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 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
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