public class KMeansParametersV3 extends ClusteringModelParametersSchema
| Modifier and Type | Field and Description |
|---|---|
KmeansKMeansInitialization |
init
Initialization mode
|
int |
max_iterations
Maximum training iterations
|
long |
seed
RNG Seed
|
boolean |
standardize
Standardize columns
|
FrameKeyV3 |
user_points
User-specified points
|
kcheckpoint, fold_assignment, fold_column, ignore_const_cols, ignored_columns, keep_cross_validation_fold_assignment, keep_cross_validation_predictions, max_runtime_secs, model_id, nfolds, offset_column, parallelize_cross_validation, response_column, score_each_iteration, stopping_metric, stopping_rounds, stopping_tolerance, training_frame, validation_frame, weights_column| Constructor and Description |
|---|
KMeansParametersV3() |
| Modifier and Type | Method and Description |
|---|---|
java.lang.String |
toString()
Return the contents of this object as a JSON String.
|
public FrameKeyV3 user_points
public int max_iterations
public boolean standardize
public long seed
public KmeansKMeansInitialization init
public java.lang.String toString()
toString in class ClusteringModelParametersSchema