hex

Class KMeansModel

java.lang.Object

water.Iced

water.Lockable<OldModel>

water.OldModel

hex.KMeansModel

All Implemented Interfaces:

java.lang.Cloneable, Freezable, Job.Progress

public class KMeansModel
extends OldModel
implements Job.Progress

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	KMeansModel.KMeansApply
static class	KMeansModel.KMeansScore

Field Summary

Fields

Modifier and Type	Field and Description
double	_between_cluster_SS
double[][]	_clusters
double	_error
KMeans.Initialization	_initialization
int	_iteration
int	_maxIter
boolean	_normalized
long	_randSeed
double	_total_SS
static java.lang.String	NAME

Fields inherited from class water.OldModel

_dataKey, _va, DOC_FIELDS

Fields inherited from class water.Lockable

_key, _lockers

Constructor Summary

Constructors

Constructor and Description
KMeansModel(Key selfKey, int[] cols, Key dataKey)

Method Summary

Methods

Modifier and Type	Method and Description
double[][]	clusters()
boolean	columnFilter(ValueArray.Column C)
void	print()
float	progress()
protected double	score0(double[] data) Single row scoring, on properly ordered data.
protected double	score0(ValueArray data, AutoBuffer ab, int row_in_chunk) Bulk scoring API, on a compatible ValueArray (when pushed throw the mapping)
protected double	score0(ValueArray data, int row) Single row scoring, on a compatible ValueArray (when pushed throw the mapping)
com.google.gson.JsonObject	toJson()

Methods inherited from class water.OldModel

adapt, adapt, columnMapping, delete_impl, errStr, fromJson, getThreshold, identityMap, isCompatible, isCompatible, isCompatible, response, responseName, score, score, score

Methods inherited from class water.Lockable

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

Methods inherited from class water.Iced

clone, frozenType, init, newInstance, read, toDocField, write, writeJSON, writeJSONFields

Methods inherited from class java.lang.Object

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

Field Detail

NAME

public static final java.lang.String NAME

_clusters

public double[][] _clusters

_error

public double _error

_between_cluster_SS

public double _between_cluster_SS

_total_SS

public double _total_SS

_iteration

public int _iteration

_initialization

public KMeans.Initialization _initialization

_maxIter

public int _maxIter

_randSeed

public long _randSeed

_normalized

public boolean _normalized

Constructor Detail

KMeansModel

public KMeansModel(Key selfKey,
           int[] cols,
           Key dataKey)

Method Detail

progress

public float progress()

Specified by:

progress in interface Job.Progress

columnFilter

public boolean columnFilter(ValueArray.Column C)

Overrides:

columnFilter in class OldModel

toJson

public com.google.gson.JsonObject toJson()

Overrides:

toJson in class OldModel

clusters

public double[][] clusters()

score0

protected double score0(double[] data)

Single row scoring, on properly ordered data. Will return NaN if any data element contains a NaN. Returns the cluster-number, which is mostly an internal value. Last data element refers to the response variable, which is not used for k-means.

Specified by:

score0 in class OldModel

score0

protected double score0(ValueArray data,
            int row)

Single row scoring, on a compatible ValueArray (when pushed throw the mapping)

Overrides:

score0 in class OldModel

score0

protected double score0(ValueArray data,
            AutoBuffer ab,
            int row_in_chunk)

Bulk scoring API, on a compatible ValueArray (when pushed throw the mapping)

Overrides:

score0 in class OldModel

print

public final void print()