Esempio n. 1
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 def test_recall_k_curve_pd(self):
     """Test recall_k_curve on a pandas data fame."""
     y_true = pd.DataFrame([[0, 0, 0, 1, 1]])
     y_pred = pd.DataFrame([[0.1, 0.0, 0.0, 0.2, 0.3]])
     actual = recall_k_curve(y_true, y_pred, max_k=3)
     expected = [0.5, 1., 1.]
     np.testing.assert_allclose(expected, actual)
Esempio n. 2
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 def test_recall_k_curve_list(self):
     """Test recall_k_curve on a list."""
     y_true = [[0, 0, 0, 1, 1]]
     y_pred = [[0.1, 0.0, 0.0, 0.2, 0.3]]
     actual = recall_k_curve(y_true, y_pred, max_k=3)
     expected = [0.5, 1., 1.]
     np.testing.assert_allclose(expected, actual)
Esempio n. 3
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 def test_recall_k_curve_np(self):
     """Test recall_k_curve on a numpy array."""
     y_true = np.array([[0, 0, 0, 1, 1]])
     y_pred = np.array([[0.1, 0.0, 0.0, 0.2, 0.3]])
     actual = recall_k_curve(y_true, y_pred, max_k=3)
     expected = [0.5, 1., 1.]
     np.testing.assert_allclose(expected, actual)
 def test_recall_k_curve_multiple_list_micro(self):
     """Test recall_k_curve on a list."""
     y_true = [[0, 0, 0, 1, 1], [0, 0, 1, 1, 1]]
     y_pred = [[0.1, 0.0, 0.0, 0.2, 0.3], [0.1, 0.0, 0.0, 0.2, 0.3]]
     actual = recall_k_curve(y_true, y_pred, max_k=3, average='micro')
     expected = [2 / 5, 4 / 5, 4 / 5]
     np.testing.assert_allclose(expected, actual)