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Normalize Table
#141
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robmeth
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May 19, 2023
Closes #141. ### Summary of Changes * Added new class `RangeScaler` in `tabular/transformation`. * Added tests. Co-authored-by: sibre28 <[email protected]> --------- Co-authored-by: Simon <[email protected]> Co-authored-by: megalinter-bot <[email protected]>
lars-reimann
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Jun 1, 2023
## [0.13.0](v0.12.0...v0.13.0) (2023-06-01) ### Features * add `Choice` class for possible values of hyperparameter ([#325](#325)) ([d511c3e](d511c3e)), closes [#264](#264) * Add `RangeScaler` transformer ([#310](#310)) ([f687840](f687840)), closes [#141](#141) * Add methods that tell which columns would be affected by a transformer ([#304](#304)) ([3933b45](3933b45)), closes [#190](#190) * Getters for hyperparameters of Regression and Classification models ([#306](#306)) ([5c7a662](5c7a662)), closes [#260](#260) * improve error handling of table ([#308](#308)) ([ef87cc4](ef87cc4)), closes [#147](#147) * Remove warnings thrown in new `Transformer` methods ([#324](#324)) ([ca046c4](ca046c4)), closes [#323](#323)
🎉 This issue has been resolved in version 0.13.0 🎉 The release is available on:
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Is your feature request related to a problem?
Normalization mean to shift and squeeze the data into the interval [0, 1]. More generally, we can do that for any interval [minimum, maximum].
Desired solution
RangeScaler
insafeds.data.tabular.transformation
that wraps theMinMaxScaler
ofscikit-learn
InvertibleTableTransformer
__init__
method to set the minimum (float, default 0.0) and maximum (float, default 1.0).The text was updated successfully, but these errors were encountered: