org.apache.ignite.ml.naivebayes.gaussian

Class GaussianNaiveBayesModel

java.lang.Object

org.apache.ignite.ml.naivebayes.gaussian.GaussianNaiveBayesModel

All Implemented Interfaces:

Serializable, AutoCloseable, DeployableObject, Exportable<GaussianNaiveBayesModel>, IgniteModel<Vector,Double>, JSONWritable, Model<Vector,Double>, BayesModel<GaussianNaiveBayesModel,Vector,Double>

public class GaussianNaiveBayesModel
extends Object
implements BayesModel<GaussianNaiveBayesModel,Vector,Double>, JSONWritable, DeployableObject

Simple naive Bayes model which predicts result value y belongs to a class C_k, k in [0..K] as p(C_k,y) = p(C_k)*p(y_1,C_k) *...*p(y_n,C_k) / p(y). Return the number of the most possible class.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
GaussianNaiveBayesModel()
GaussianNaiveBayesModel(double[][] means, double[][] variances, double[] classProbabilities, double[] labels, org.apache.ignite.ml.naivebayes.gaussian.GaussianNaiveBayesSumsHolder sumsHolder)

Method Summary

Modifier and Type	Method and Description
static GaussianNaiveBayesModel	fromJSON(Path path) Loads GaussianNaiveBayesModel from JSON file.
double[]	getClassProbabilities() A getter for classProbabilities.
List<Object>	getDependencies() Returns dependencies of this object that can be object with class defined by client side and unknown for server.
double[]	getLabels() A getter for labels.
double[][]	getMeans() A getter for means.
org.apache.ignite.ml.naivebayes.gaussian.GaussianNaiveBayesSumsHolder	getSumsHolder() A getter for sumsHolder.
double[][]	getVariances() A getter for variances.
Double	predict(Vector vector) Returns a number of class to which the input belongs.
double[]	probabilityPowers(Vector vector) Returns an array where the index correapons a label, and value corresponds log(probability) to be this label.
<P> void	saveModel(Exporter<GaussianNaiveBayesModel,P> exporter, P path) Save model by the given path.
void	toJSON(Path path)

Methods inherited from class java.lang.Object

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

Methods inherited from interface org.apache.ignite.ml.IgniteModel

andBefore, andThen, andThen, close, combine, toString

Constructor Detail

GaussianNaiveBayesModel

public GaussianNaiveBayesModel(double[][] means,
                               double[][] variances,
                               double[] classProbabilities,
                               double[] labels,
                               org.apache.ignite.ml.naivebayes.gaussian.GaussianNaiveBayesSumsHolder sumsHolder)

Parameters:

means - Means of features for all classes.

variances - Variances of features for all classes.

classProbabilities - Probabilities for all classes.

labels - Labels.

sumsHolder - Feature sum, squared sum and count sum per label. This data is used for future model updating.

GaussianNaiveBayesModel

public GaussianNaiveBayesModel()

Method Detail

saveModel

public <P> void saveModel(Exporter<GaussianNaiveBayesModel,P> exporter,
                          P path)

Save model by the given path.

Specified by:

saveModel in interface Exportable<GaussianNaiveBayesModel>

Parameters:

exporter - Exporter.

path - Path to saved model.

predict

public Double predict(Vector vector)

Returns a number of class to which the input belongs.

Specified by:

predict in interface Model<Vector,Double>

Parameters:

vector - Input arguments.

Returns:

Prediction result.

probabilityPowers

public double[] probabilityPowers(Vector vector)

Returns an array where the index correapons a label, and value corresponds log(probability) to be this label. The prior probabilities are not count.

Specified by:

probabilityPowers in interface BayesModel<GaussianNaiveBayesModel,Vector,Double>

getMeans

public double[][] getMeans()

A getter for means.

getVariances

public double[][] getVariances()

A getter for variances.

getClassProbabilities

public double[] getClassProbabilities()

A getter for classProbabilities.

getLabels

public double[] getLabels()

A getter for labels.

getSumsHolder

public org.apache.ignite.ml.naivebayes.gaussian.GaussianNaiveBayesSumsHolder getSumsHolder()

A getter for sumsHolder.

getDependencies

public List<Object> getDependencies()

Returns dependencies of this object that can be object with class defined by client side and unknown for server.

Specified by:

getDependencies in interface DeployableObject

toJSON

public void toJSON(Path path)

Specified by:

toJSON in interface JSONWritable

fromJSON

public static GaussianNaiveBayesModel fromJSON(Path path)

Loads GaussianNaiveBayesModel from JSON file.