def test_PCA_scorer_component(self):
pca = PCA()
for i in range(1, len(self.zoo.domain.attributes) + 1):
pca.component = i
scores = pca.score_data(self.zoo)
self.assertEqual(scores.shape,
(pca.component, len(self.zoo.domain.attributes)))
def test_PCA_scorer_component(self):
pca = PCA()
for i in range(1, len(self.zoo.domain.attributes) + 1):
pca.component = i
scores = pca.score_data(self.zoo)
self.assertEqual(scores.shape,
(pca.component, len(self.zoo.domain.attributes)))
def test_PCA_scorer(self):
data = self.iris
pca = PCA(preprocessors=[Normalize()])
pca.component = 1
scores = pca.score_data(data)
self.assertEqual(scores.shape[1], len(data.domain.attributes))
self.assertEqual(['petal length', 'petal width'],
sorted([data.domain.attributes[i].name
for i in np.argsort(scores[0])[-2:]]))
self.assertEqual([round(s, 4) for s in scores[0]],
[0.5224, 0.2634, 0.5813, 0.5656])
def test_PCA_scorer(self):
data = self.iris
pca = PCA(preprocessors=[Normalize()])
pca.component = 1
scores = pca.score_data(data)
self.assertEqual(scores.shape[1], len(data.domain.attributes))
self.assertEqual(['petal length', 'petal width'],
sorted([data.domain.attributes[i].name
for i in np.argsort(scores[0])[-2:]]))
self.assertEqual([round(s, 4) for s in scores[0]],
[0.5224, 0.2634, 0.5813, 0.5656])
def test_PCA_scorer_all_components(self):
n_attr = len(self.iris.domain.attributes)
pca = PCA()
scores = pca.score_data(self.iris)
self.assertEqual(scores.shape, (n_attr, n_attr))
def test_PCA_scorer_all_components(self):
n_attr = len(self.iris.domain.attributes)
pca = PCA()
scores = pca.score_data(self.iris)
self.assertEqual(scores.shape, (n_attr, n_attr))