public static final class KMeansV3.KMeansParametersV3 extends water.api.ClusteringModelParametersSchema<KMeansModel.KMeansParameters,KMeansV3.KMeansParametersV3>
| Modifier and Type | Field and Description |
|---|---|
KMeans.Initialization |
init |
int |
max_iterations |
static java.lang.String[] |
own_fields |
long |
seed |
boolean |
standardize |
water.api.KeyV3.FrameKeyV3 |
user_points |
| Constructor and Description |
|---|
KMeansV3.KMeansParametersV3() |
append_field_arrays, fields, fillFromImpl, fillImpl, writeParametersJSONacceptsFrame, createAndFillImpl, createImpl, extractVersion, fillFromParms, getExperimentalVersion, getHighestSupportedVersion, getImplClass, getImplClass, getLatestVersion, getSchemaVersion, markdown, markdown, markdown, markdown, newInstance, register, registerAllSchemasIfNecessary, schema, schema, schema, schema, schema, schemaClass, schemaClass, schemaClass, schemaClass, schemaspublic static java.lang.String[] own_fields
@API(help="User-specified points",
required=false)
public water.api.KeyV3.FrameKeyV3 user_points
@API(help="Maximum training iterations") public int max_iterations
@API(help="Standardize columns",
level=secondary,
gridable=true)
public boolean standardize
@API(help="RNG Seed",
level=expert,
gridable=true)
public long seed
@API(help="Initialization mode",
values={"Random","PlusPlus","Furthest","User"},
gridable=true)
public KMeans.Initialization init