fix when all values in pred or real are 0

[ryoherisson]

Summary

When all values in real or pred are 0, prts/base/time_series_metrics._prepare_data() will return AssertionError.

Goal

change assert np.allclose(np.unique(values_pred), np.array([0, 1])) to np.all(np.isin(np.unique(values_pred), np.array([0, 1])))

Todo

• [ ] np.allclose(np.unique(values_pred), np.array([0, 1])) to np.all(np.isin(np.unique(values_pred), np.array([0, 1])))
• [ ] np.allclose(np.unique(values_real), np.array([0, 1])) to np.all(np.isin(np.unique(values_real), np.array([0, 1])))

Deadline

yyyy / mm / dd

Parent issue

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References

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Notes

Other comments.

[ryoherisson]

This issue is not needed.