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feat: allow using tables that already contain target for prediction #687

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lars-reimann
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@lars-reimann lars-reimann commented May 1, 2024

Closes #636

Summary of Changes

No longer raise an error if a table that already contains the target is passed to predict. It's now simply ignored for training and overwritten.

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Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 100.00%. Comparing base (841657f) to head (e705f79).

Additional details and impacted files
@@            Coverage Diff            @@
##              main      #687   +/-   ##
=========================================
  Coverage   100.00%   100.00%           
=========================================
  Files           67        67           
  Lines         4787      4782    -5     
=========================================
- Hits          4787      4782    -5     

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@lars-reimann lars-reimann marked this pull request as ready for review May 1, 2024 19:34
@lars-reimann lars-reimann requested a review from a team as a code owner May 1, 2024 19:34
@lars-reimann lars-reimann merged commit e9f1cfb into main May 1, 2024
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@lars-reimann lars-reimann deleted the 636-remove-error-dataset-already-contains-the-target-column-when-predicting branch May 1, 2024 19:34
lars-reimann pushed a commit that referenced this pull request May 1, 2024
## [0.22.0](v0.21.0...v0.22.0) (2024-05-01)

### Features

* `is_fitted` is now always a property ([#662](#662)) ([b1db881](b1db881)), closes [#586](#586)
* add `Column.missing_value_count` ([#682](#682)) ([f084916](f084916)), closes [#642](#642)
* Add `InputConversion` & `OutputConversion` for nn interface ([#625](#625)) ([fd723f7](fd723f7)), closes [#621](#621)
* Add hash,eq and sizeof in ForwardLayer ([#634](#634)) ([72f7fde](72f7fde)), closes [#633](#633)
* allow using tables that already contain target for prediction ([#687](#687)) ([e9f1cfb](e9f1cfb)), closes [#636](#636)
* callback `Row.sort_columns` takes four parameters instead of two tuples ([#683](#683)) ([9c3e3de](9c3e3de)), closes [#584](#584)
* rename `group_rows_by` in `Table` to `group_rows` ([#661](#661)) ([c1644b7](c1644b7)), closes [#611](#611)
* rename `number_of_column` in `Row` to `number_of_columns` ([#660](#660)) ([0a08296](0a08296)), closes [#646](#646)
* rework `TaggedTable` ([#680](#680)) ([db2b613](db2b613)), closes [#647](#647)
* show missing value count/ratio in summarized statistics ([#684](#684)) ([74b8a35](74b8a35)), closes [#619](#619)
* specify `extras` instead of `features` in `to_tabular_dataset` ([#685](#685)) ([841657f](841657f)), closes [#623](#623)

### Bug Fixes

* actually use `kernel` of support vector machines for training ([#681](#681)) ([09c5082](09c5082)), closes [#602](#602)

### Performance Improvements

* Faster plot_histograms and more reliable plots ([#659](#659)) ([b5f0a12](b5f0a12))
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🎉 This PR is included in version 0.22.0 🎉

The release is available on:

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@lars-reimann lars-reimann added the released Included in a release label May 1, 2024
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Remove error "Dataset already contains the target column" when predicting
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