def test_predict_clusters__inspector_shap(mock_clusterer, global_small_df):
mock_clusterer.predict.return_value = [1, 0]
inspector = InspectorShap(model=MockModel(),
algotype='kmeans',
cluster_probability=False)
inspector.clusterer = mock_clusterer
inspector.fitted = True
X = global_small_df
# Check if the output is correct, as should be according to MockClusterer
assert inspector.predict_clusters(X) == [1, 0]
# Check if the df has not been modified by the prediction
pd.testing.assert_frame_equal(X, global_small_df)
def test_predict_clusters__not_fitted(mock_clusterer, global_small_df):
mock_clusterer.predict.return_value = [1, 0]
# InspectorShap not fitted
inspector = InspectorShap(model=MockModel(),
algotype='kmeans',
cluster_probability=True)
inspector.clusterer = mock_clusterer
inspector.predicted_proba = True
X = global_small_df
# Check if not fitted exception is raised
with pytest.raises(NotFittedError):
inspector.predict_clusters(X)
# Check if X3 has not been modified
pd.testing.assert_frame_equal(X, global_small_df)
def test_fit_clusters__inspector_shap(mock_clusterer, global_small_df):
inspector = InspectorShap(model=MockModel(),
algotype='kmeans',
cluster_probability=False)
inspector.clusterer = mock_clusterer
X = global_small_df
inspector.fit_clusters(X)
# Check if has been called with correct argument
mock_clusterer.fit.assert_called_once()
pd.testing.assert_frame_equal(mock_clusterer.fit.call_args[0][0], X)
# Check if it has not been modified
pd.testing.assert_frame_equal(X, global_small_df)
# Check if fitted flag has been changed correctly
assert inspector.fitted is True
def test_fit_clusters__inspector_shap_proba(mock_clusterer,
global_small_df):
inspector = InspectorShap(model=MockModel(),
algotype='kmeans',
cluster_probability=True)
inspector.clusterer = mock_clusterer
inspector.predicted_proba = True
X = global_small_df
#Check if not fitted exception is raised
inspector.fit_clusters(X)
# Check if column with probabilities has been added to the fitted X
assert 'probs' in mock_clusterer.fit.call_args[0][0].columns
# Check if has been called
mock_clusterer.fit.assert_called_once()
# Check if X has not been modified
pd.testing.assert_frame_equal(X, global_small_df)
assert inspector.fitted is True
