How to implement Gaussian Naive Bayes using Shogun?

This recipe helps you to implement Gaussian Naive Bayes using Shogun.

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Recipe Objective

This recipe explains how can we implement Gaussian Naive Bayes using Shogun
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Gaussian Naive Bayes

Gaussian Naive Bayes computes data on the basis of how well it matches with the Gaussian distributions of many different classes.

x_train = RealFeatures(feats_train)
x_test = RealFeatures(feats_test)
y_train = MulticlassLabels(labels_train)

g = GaussianNaiveBayes(x_train, y_train)

g.train()
predict = g.apply_multiclass(x_test)

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