コード例 #1
0
ファイル: test_preprocessing.py プロジェクト: Qwlouse/pylstm
    def test_center_dataset_masked(self):
        ds = {
            'training': (self.X, FramewiseTargets(self.X, self.M)),
            'validation': (self.X + 1, FramewiseTargets(self.X, self.M)),
            'test': (self.X * 2, FramewiseTargets(self.X, self.M))
        }
        assert_allclose(get_means(ds['training'][0], self.M), [8.25, 9.25])
        assert_allclose(get_means(ds['validation'][0], self.M), [9.25, 10.25])
        assert_allclose(get_means(ds['test'][0], self.M), [16.5, 18.5])

        center_dataset(ds)

        assert_allclose(get_means(ds['training'][0], self.M), [0., 0.])
        assert_allclose(get_means(ds['validation'][0], self.M), [1., 1.])
        assert_allclose(get_means(ds['test'][0], self.M), [8.25, 9.25])
コード例 #2
0
    def test_center_dataset_masked(self):
        ds = {
            'training': (self.X, FramewiseTargets(self.X, self.M)),
            'validation': (self.X + 1, FramewiseTargets(self.X, self.M)),
            'test': (self.X * 2, FramewiseTargets(self.X, self.M))
        }
        assert_allclose(get_means(ds['training'][0], self.M), [8.25, 9.25])
        assert_allclose(get_means(ds['validation'][0], self.M), [9.25, 10.25])
        assert_allclose(get_means(ds['test'][0], self.M), [16.5, 18.5])

        center_dataset(ds)

        assert_allclose(get_means(ds['training'][0], self.M), [0., 0.])
        assert_allclose(get_means(ds['validation'][0], self.M), [1., 1.])
        assert_allclose(get_means(ds['test'][0], self.M), [8.25, 9.25])
コード例 #3
0
ファイル: test_preprocessing.py プロジェクト: Qwlouse/pylstm
    def test_center_dataset(self):
        ds = {
            'training': (self.X, FramewiseTargets(self.X)),
            'validation': (self.X + 1, FramewiseTargets(self.X)),
            'test': (self.X * 2, FramewiseTargets(self.X))
        }

        assert_allclose(get_means(ds['training'][0]), [11., 12.])
        assert_allclose(get_means(ds['validation'][0]), [12., 13.])
        assert_allclose(get_means(ds['test'][0]), [22., 24.])

        center_dataset(ds)

        assert_allclose(get_means(ds['training'][0]), [0., 0.], atol=1e-6)
        assert_allclose(get_means(ds['validation'][0]), [1., 1.], atol=1e-6)
        assert_allclose(get_means(ds['test'][0]), [11., 12.], atol=1e-6)
コード例 #4
0
    def test_center_dataset(self):
        ds = {
            'training': (self.X, FramewiseTargets(self.X)),
            'validation': (self.X + 1, FramewiseTargets(self.X)),
            'test': (self.X * 2, FramewiseTargets(self.X))
        }

        assert_allclose(get_means(ds['training'][0]), [11., 12.])
        assert_allclose(get_means(ds['validation'][0]), [12., 13.])
        assert_allclose(get_means(ds['test'][0]), [22., 24.])

        center_dataset(ds)

        assert_allclose(get_means(ds['training'][0]), [0., 0.], atol=1e-6)
        assert_allclose(get_means(ds['validation'][0]), [1., 1.], atol=1e-6)
        assert_allclose(get_means(ds['test'][0]), [11., 12.], atol=1e-6)