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Add test for cross validation with invalid metrics
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@ -164,6 +164,11 @@ class TestDiagnostics(TestCase):
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df_cv, metrics=['mape'],
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df_cv, metrics=['mape'],
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)
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)
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self.assertIsNone(df_horizon)
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self.assertIsNone(df_horizon)
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# List of metrics containing non-valid metrics
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with self.assertRaises(ValueError):
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diagnostics.performance_metrics(
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df_cv, metrics=['mse', 'error_metric'],
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)
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def test_rolling_mean(self):
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def test_rolling_mean(self):
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x = np.arange(10)
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x = np.arange(10)
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