hex.kmeans

Class KMeansModel

java.lang.Object

water.Iced

water.Keyed

water.Lockable<M>

hex.Model<KMeansModel,KMeansModel.KMeansParameters,KMeansModel.KMeansOutput>

hex.kmeans.KMeansModel

All Implemented Interfaces:

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

public class KMeansModel
extends hex.Model<KMeansModel,KMeansModel.KMeansParameters,KMeansModel.KMeansOutput>

See Also:

Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	KMeansModel.KMeansOutput
static class	KMeansModel.KMeansParameters

Nested classes/interfaces inherited from class hex.Model

hex.Model.ModelCategory, hex.Model.Output<M extends hex.Model<M,P,O>,P extends hex.Model.Parameters<M,P,O>,O extends hex.Model.Output<M,P,O>>, hex.Model.Parameters<M extends hex.Model<M,P,O>,P extends hex.Model.Parameters<M,P,O>,O extends hex.Model.Output<M,P,O>>

Field Summary

Fields inherited from class hex.Model

_output, _parms, _warnings, training_duration_in_ms, training_start_time

Fields inherited from class water.Lockable

_lockers

Fields inherited from class water.Keyed

_key

Constructor Summary

Constructors

Constructor and Description
KMeansModel(water.Key selfKey, water.fvec.Frame fr, KMeansModel.KMeansParameters parms, KMeansModel.KMeansOutput output, int ncats)

Method Summary

Methods

Modifier and Type	Method and Description
boolean	isSupervised()
water.api.ModelSchema	schema()
protected float[]	score0(water.fvec.Chunk[] chks, int row_in_chunk, double[] tmp, float[] preds) Bulk scoring API for one row.
protected float[]	score0(double[] data, float[] preds)

Methods inherited from class hex.Model

adapt, adapt, adapt, addWarning, checksum, computeModelMetrics, getDomainMapping, getDomainMapping, missingColumnsType, remove_impl, score, score, score, score, score, score, start_training, start_training, stop_training

Methods inherited from class water.Lockable

delete_and_lock, delete, delete, delete, read_lock, read_lock, unlock_all, unlock, update, write_lock

Methods inherited from class water.Keyed

remove, remove, remove, remove

Methods inherited from class water.Iced

clone, frozenType, read_impl, read, readExternal, readJSON_impl, readJSON, 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

Constructor Detail

KMeansModel

public KMeansModel(water.Key selfKey,
           water.fvec.Frame fr,
           KMeansModel.KMeansParameters parms,
           KMeansModel.KMeansOutput output,
           int ncats)

Method Detail

isSupervised

public boolean isSupervised()

Specified by:

isSupervised in class hex.Model<KMeansModel,KMeansModel.KMeansParameters,KMeansModel.KMeansOutput>

schema

public water.api.ModelSchema schema()

Specified by:

schema in class hex.Model<KMeansModel,KMeansModel.KMeansParameters,KMeansModel.KMeansOutput>

score0

protected float[] score0(water.fvec.Chunk[] chks,
             int row_in_chunk,
             double[] tmp,
             float[] preds)

Bulk scoring API for one row. Chunks are all compatible with the model, and expect the last Chunks are for the final distribution and prediction. Default method is to just load the data into the tmp array, then call subclass scoring logic.

Specified by:

score0 in class hex.Model<KMeansModel,KMeansModel.KMeansParameters,KMeansModel.KMeansOutput>

score0

protected float[] score0(double[] data,
             float[] preds)

Specified by:

score0 in class hex.Model<KMeansModel,KMeansModel.KMeansParameters,KMeansModel.KMeansOutput>