def test_create_report(mock_model, iteration_results, report):
vol = BaseVolatilityEstimator(mock_model)
vol.fitted = True
vol.iterations_results = iteration_results
vol._create_report()
pd.testing.assert_frame_equal(vol.report, report, check_less_precise=3)
def test_get_samples_to_plot(mock_model, iteration_results, iterations_train,
iterations_test, iterations_delta):
vol = BaseVolatilityEstimator(mock_model)
vol.fitted = True
vol.iterations_results = iteration_results
train, test, delta = vol._get_samples_to_plot(metric_name='roc_auc')
pd.testing.assert_series_equal(train, iterations_train)
pd.testing.assert_series_equal(test, iterations_test)
pd.testing.assert_series_equal(delta, iterations_delta)
def test_plot(report, mock_model, iterations_train, iterations_test,
iterations_delta):
with patch.object(BaseVolatilityEstimator,
'compute',
return_value=report.loc[['roc_auc']]) as mock_compute:
with patch.object(BaseVolatilityEstimator,
'_get_samples_to_plot',
return_value=(iterations_train, iterations_test,
iterations_delta)) as mock_get_samples:
vol = BaseVolatilityEstimator(mock_model)
vol.fitted = True
vol.plot(metrics='roc_auc')
mock_compute.assert_called_with(metrics='roc_auc')
mock_get_samples.assert_called_with(metric_name='roc_auc')
def test_plot(report, mock_model, iterations_train, iterations_test,
iterations_delta):
"""
Test.
"""
with patch.object(BaseVolatilityEstimator,
"compute",
return_value=report.loc[["roc_auc"]]) as mock_compute:
with patch.object(
BaseVolatilityEstimator,
"_get_samples_to_plot",
return_value=(iterations_train, iterations_test,
iterations_delta),
) as mock_get_samples:
vol = BaseVolatilityEstimator(mock_model)
vol.fitted = True
vol.plot(metrics="roc_auc")
mock_compute.assert_called_with(metrics="roc_auc")
mock_get_samples.assert_called_with(metric_name="roc_auc")
