Perceptron_unittest.cc

/*
* Copyright (c) The Shogun Machine Learning Toolbox
* Written (w) 2017 Michele Mazzoni
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* 1. Redistributions of source code must retain the above copyright notice, this
* list of conditions and the following disclaimer.
* 2. Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
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*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
* AND
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* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE
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#include <gtest/gtest.h>

#include <functional>
#include <rxcpp/rx-lite.hpp>
#include <shogun/lib/Signal.h>

#include "environments/LinearTestEnvironment.h"
#include <shogun/classifier/Perceptron.h>
#include <shogun/evaluation/ContingencyTableEvaluation.h>
#include <shogun/features/DenseFeatures.h>
#include <shogun/labels/BinaryLabels.h>

using namespace shogun;

extern LinearTestEnvironment* linear_test_env;

TEST(Perceptron, train)
{
	auto env = linear_test_env->getBinaryLabelData();
	auto features = env->get_features_train();
	auto labels = env->get_labels_train();
	auto test_features = env->get_features_test();
	auto test_labels = env->get_labels_test();

	auto perceptron = std::make_shared<Perceptron>();
	perceptron->set_labels(labels);
	EXPECT_TRUE(perceptron->train(features));

	auto results = perceptron->apply(test_features);
	auto acc = std::make_shared<AccuracyMeasure>();
	EXPECT_EQ(acc->evaluate(results, test_labels), 1.0);
}

TEST(Perceptron, custom_hyperplane_initialization)
{
	auto env = linear_test_env->getBinaryLabelData();
	auto features = env->get_features_train();
	auto labels = env->get_labels_train();
	auto test_features = env->get_features_test();
	auto test_labels = env->get_labels_test();

	auto perceptron = std::make_shared<Perceptron>();
	perceptron->set_labels(labels);
	perceptron->train(features);

	auto weights = perceptron->get_w();

	auto perceptron_initialized = std::make_shared<Perceptron>();
	perceptron_initialized->set_initialize_hyperplane(false);
	perceptron_initialized->set_w(weights);
	perceptron_initialized->put<int32_t>("max_iterations", 1);
	perceptron_initialized->set_labels(labels);

	perceptron_initialized->train(features);
	EXPECT_TRUE(perceptron_initialized->get_w().equals(weights));
}