@Deprecated public final class GaussianNaiveBayesModel extends Object implements IgniteModel<Vector,Double>, Exportable<GaussianNaiveBayesModel>, Serializable
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.| Constructor and Description |
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GaussianNaiveBayesModel(double[][] means,
double[][] variances,
double[] classProbabilities,
double[] labels,
org.apache.ignite.ml.naivebayes.gaussian.GaussianNaiveBayesSumsHolder sumsHolder)
Deprecated.
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| Modifier and Type | Method and Description |
|---|---|
double[] |
getClassProbabilities()
Deprecated.
|
double[][] |
getMeans()
Deprecated.
|
org.apache.ignite.ml.naivebayes.gaussian.GaussianNaiveBayesSumsHolder |
getSumsHolder()
Deprecated.
|
double[][] |
getVariances()
Deprecated.
|
Double |
predict(Vector vector)
Deprecated.
Returns a number of class to which the input belongs.
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<P> void |
saveModel(Exporter<GaussianNaiveBayesModel,P> exporter,
P path)
Deprecated.
Save model by the given path.
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public GaussianNaiveBayesModel(double[][] means,
double[][] variances,
double[] classProbabilities,
double[] labels,
org.apache.ignite.ml.naivebayes.gaussian.GaussianNaiveBayesSumsHolder sumsHolder)
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.public <P> void saveModel(Exporter<GaussianNaiveBayesModel,P> exporter, P path)
saveModel in interface Exportable<GaussianNaiveBayesModel>exporter - Exporter.path - Path to saved model.public Double predict(Vector vector)
public double[][] getMeans()
public double[][] getVariances()
public double[] getClassProbabilities()
public org.apache.ignite.ml.naivebayes.gaussian.GaussianNaiveBayesSumsHolder getSumsHolder()
GridGain In-Memory Computing Platform : ver. 8.9.38 Release Date : September 22 2026