Implement Large Margin Nearest Neighbours using Shogun.

This recipe helps you to implement Large Margin Nearest Neighbours using Shogun.

Recipe Objective

This recipe explains how we can implement Large Margin Nearest Neighbors using Shogun.
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List of Classification Algorithms in Machine Learning

Large Margin Nearest Neighbors

Large margin nearest neighbors is a metric learning algorithm. It learns a metric that can be used with the K Nearest neighbors algorithm.

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

lmnn = LMNN(x_train, y_train, 5)
lmnn.train()
x = lmnn.get_distance()

z = KNN(5, x, y_train)
z.train()
predict = z.apply_multiclass(x_test)

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

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