def test_scale_std_of_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_stds(ds['training'][0]), [6.90410506, 6.90410506])
assert_allclose(get_stds(ds['validation'][0]), [6.90410506, 6.90410506])
assert_allclose(get_stds(ds['test'][0]), [13.80821012, 13.80821012])
scale_std_of_dataset(ds)
assert_allclose(get_stds(ds['training'][0]), [1., 1.], atol=1e-6)
assert_allclose(get_stds(ds['validation'][0]), [1., 1.], atol=1e-6)
assert_allclose(get_stds(ds['test'][0]), [2., 2.], atol=1e-6)
def test_scale_std_of_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_stds(ds['training'][0]), [6.90410506, 6.90410506])
assert_allclose(get_stds(ds['validation'][0]),
[6.90410506, 6.90410506])
assert_allclose(get_stds(ds['test'][0]), [13.80821012, 13.80821012])
scale_std_of_dataset(ds)
assert_allclose(get_stds(ds['training'][0]), [1., 1.], atol=1e-6)
assert_allclose(get_stds(ds['validation'][0]), [1., 1.], atol=1e-6)
assert_allclose(get_stds(ds['test'][0]), [2., 2.], atol=1e-6)
def test_scale_std_of_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_stds(ds['training'][0], self.M),
[6.27992834, 6.27992834])
assert_allclose(get_stds(ds['validation'][0], self.M),
[6.27992834, 6.27992834])
assert_allclose(get_stds(ds['test'][0], self.M),
[12.55985668, 12.55985668])
scale_std_of_dataset(ds)
assert_allclose(get_stds(ds['training'][0], self.M), [1., 1.])
assert_allclose(get_stds(ds['validation'][0], self.M), [1., 1.])
assert_allclose(get_stds(ds['test'][0], self.M), [2., 2.])
def test_scale_std_of_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_stds(ds['training'][0], self.M),
[6.27992834, 6.27992834])
assert_allclose(get_stds(ds['validation'][0], self.M),
[6.27992834, 6.27992834])
assert_allclose(get_stds(ds['test'][0], self.M),
[12.55985668, 12.55985668])
scale_std_of_dataset(ds)
assert_allclose(get_stds(ds['training'][0], self.M), [1., 1.])
assert_allclose(get_stds(ds['validation'][0], self.M), [1., 1.])
assert_allclose(get_stds(ds['test'][0], self.M), [2., 2.])