hex.schemas

Class KMeansModelV2.KMeansModelOutputV2

java.lang.Object

water.Iced

water.api.Schema<O,S>

water.api.ModelOutputSchema<KMeansModel.KMeansOutput,KMeansModelV2.KMeansModelOutputV2>

hex.schemas.KMeansModelV2.KMeansModelOutputV2

All Implemented Interfaces:

java.io.Externalizable, java.io.Serializable, java.lang.Cloneable, water.Freezable

Enclosing class:

KMeansModelV2

public static final class KMeansModelV2.KMeansModelOutputV2
extends water.api.ModelOutputSchema<KMeansModel.KMeansOutput,KMeansModelV2.KMeansModelOutputV2>

See Also:

Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from class water.api.Schema

water.api.Schema.Meta

Field Summary

Fields

Modifier and Type	Field and Description
double	avgbetweenss
double	avgss
double	avgwithinss
double[][]	centers
double	iters
int	ncats
long[]	rows
double[]	withinmse

Fields inherited from class water.api.ModelOutputSchema

domains, names

Fields inherited from class water.api.Schema

__meta, _impl_class, _version_pattern

Constructor Summary

Constructors

Constructor and Description
KMeansModelV2.KMeansModelOutputV2()

Method Summary

Methods inherited from class water.api.ModelOutputSchema

fillFromImpl

Methods inherited from class water.api.Schema

acceptsFrame, createAndFillImpl, createImpl, extractVersion, fillFromParms, fillImpl, getImplClass, getImplClass, getSchemaVersion, markdown, markdown, markdown, markdown, newInstance, register, registerAllSchemasIfNecessary, schema, schema, schema, schema, schema, schemaClass, schemaClass, schemaClass, schemaClass, schemas

Methods inherited from class water.Iced

clone, frozenType, read_impl, read, readExternal, readJSON_impl, readJSON, toJsonString, write_impl, write, writeExternal, writeHTML_impl, writeHTML, writeJSON_impl, writeJSON

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

centers

@API(help="Cluster Centers[k][features]")
public double[][] centers

rows

@API(help="Rows[k]")
public long[] rows

withinmse

@API(help="Within cluster Mean Square Error per cluster")
public double[] withinmse

avgwithinss

@API(help="Average within cluster Mean Square Error")
public double avgwithinss

avgss

@API(help="Average Mean Square Error to grand mean")
public double avgss

avgbetweenss

@API(help="Average between cluster Mean Square Error")
public double avgbetweenss

iters

@API(help="Iterations executed")
public double iters

ncats

@API(help="Number of categorical columns trained on")
public int ncats

Constructor Detail

KMeansModelV2.KMeansModelOutputV2

public KMeansModelV2.KMeansModelOutputV2()