What is Quadratic Discriminant Analysis in shogun?

This recipe explains what is Quadratic Discriminant Analysis in shogun.

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Recipe Objective

This recipe explains what Quadratic Discriminant Analysis is.
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Quadratic Discriminant Analysis

We use quadratic discriminant analysis (QDA) to split measurements of two or more classes of objects by a quadric surface. For QDA, the class label 'y' is assumed to be quadratic in the measurements of observations 'X'.

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

z = QDA(x_train, y_train, 0.0001, True)
z.train()
predict = z.apply_multiclass(x_test)

eval = MulticlassAccuracy()
accuracy = eval.evaluate(predict, y_test)

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