feat: add ml.preprocessing.MinMaxScaler #64
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GarrettWu
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Sep 26, 2023
GarrettWu
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Sep 26, 2023
| @@ -244,6 +244,8 @@ def test_min_max_scaler_series_normalizes(penguins_df_default_index, new_penguin | |||
| # If minmax-scaled correctly, min should be 0 and max should be 1. | |||
| for column in result.columns: | |||
| assert math.isclose(result[column].max(), 1.0, abs_tol=1e-3) | |||
| for column in result.columns: | |||
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nit: you can do both checks in the same loop.
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Fixes #<issue_number_goes_here> 🦕