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MinMaxScaler should have a `strict` mode

See original GitHub issue

Describe the workflow you want to enable

On held-out data not used to fit the transform, MinMaxScaler can return values outside the feature_range. This is a problem when all data must be within a particular range.

Describe your proposed solution

MinMaxScaler should have a parameter strict, which will clip all transformed values to the feature_range

Describe alternatives you’ve considered, if relevant

Running np.clip myself

Issue Analytics

State:
Created 3 years ago
Comments:6 (5 by maintainers)

Top GitHub Comments

1reaction

jeremiedbbcommented, Nov 27, 2020

right, thanks

1reaction

NicolasHugcommented, Jul 1, 2020

I think you got it right @yashika51

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