[timeseries] Fix ensemble weights format for printing #5132
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abdulfatir
approved these changes
May 20, 2025
| @@ -182,5 +182,5 @@ def _fit( | |||
| if weight != 0: | |||
| self.model_to_weight[model_name] = weight | |||
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| weights_for_printing = {model: round(weight, 2) for model, weight in self.model_to_weight.items()} | |||
| weights_for_printing = {model: round(float(weight), 2) for model, weight in self.model_to_weight.items()} | |||
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The nittest of picks: Not sure if weight.item() is better than casting.
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I think float(something) is slightly better here because it will work even if the weight values have type float (and not np.float64).
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Job PR-5132-16822d3 is done. |
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Issue #, if available:
Description of changes:
numpy>2.0the ensemble weights are printed as follows:By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your choice.