Merge pull request #3658 from geektoni/patch-7

Port classifier_averaged_perceptron_modular.py to meta examples.
shogun-toolbox · Feb 27, 2017 · 15b8463 · 15b8463
2 parents 1b95b89 + 1a1c6b9
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diff --git a/data b/data
diff --git a/examples/meta/src/binary_classifier/averaged_perceptron.sg b/examples/meta/src/binary_classifier/averaged_perceptron.sg
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+CSVFile f_feats_train("../../data/classifier_binary_2d_linear_features_train.dat")
+CSVFile f_feats_test("../../data/classifier_binary_2d_linear_features_test.dat")
+CSVFile f_labels_train("../../data/classifier_binary_2d_linear_labels_train.dat")
+CSVFile f_labels_test("../../data/classifier_binary_2d_linear_labels_test.dat")
+
+#![create_features]
+RealFeatures features_train(f_feats_train)
+RealFeatures features_test(f_feats_test)
+BinaryLabels labels_train(f_labels_train)
+BinaryLabels labels_test(f_labels_test)
+#![create_features]
+
+#![set_parameters]
+real learn_rate=1.0
+int max_iter=1000
+AveragedPerceptron perceptron(features_train, labels_train)
+perceptron.set_learn_rate(learn_rate)
+perceptron.set_max_iter(max_iter)
+#![set_parameters]
+
+#![train_and_apply]
+perceptron.train()
+perceptron.set_features(features_test)
+Labels labels_predict = perceptron.apply()
+#![train_and_apply]
+
+#![extract_weights]
+RealVector weights = perceptron.get_w()
+real bias = perceptron.get_bias()
+#![extract_weights]
+
+#![evaluate_accuracy]
+AccuracyMeasure eval()
+real accuracy = eval.evaluate(labels_predict, labels_test)
+#![evaluate_accuracy]
diff --git a/examples/undocumented/python_modular/classifier_averaged_perceptron_modular.py b/examples/undocumented/python_modular/classifier_averaged_perceptron_modular.py