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feat: Set column_names in fit methods of table transformers to be required #225

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alex-senger
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@alex-senger alex-senger commented Apr 21, 2023

Closes #179.

Summary of Changes

Every fit method of TableTransformers now requires column_names to be explicitly set.

@alex-senger alex-senger requested a review from a team as a code owner April 21, 2023 09:31
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🦙 MegaLinter status: ✅ SUCCESS

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codecov bot commented Apr 21, 2023

Codecov Report

Merging #225 (63e7c1a) into main (a4cf0a5) will not change coverage.
The diff coverage is 100.00%.

@@           Coverage Diff           @@
##             main     #225   +/-   ##
=======================================
  Coverage   96.42%   96.42%           
=======================================
  Files          42       42           
  Lines        1482     1482           
=======================================
  Hits         1429     1429           
  Misses         53       53           
Impacted Files Coverage Δ
src/safeds/data/tabular/transformation/_imputer.py 93.84% <100.00%> (ø)
...feds/data/tabular/transformation/_label_encoder.py 100.00% <100.00%> (ø)
...ds/data/tabular/transformation/_one_hot_encoder.py 100.00% <100.00%> (ø)
.../data/tabular/transformation/_table_transformer.py 100.00% <100.00%> (ø)

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LGTM.

@lars-reimann lars-reimann changed the title feat: Set ´column_names´ in ´fit´ methods of table transformers to be required feat: Set column_names in fit methods of table transformers to be required Apr 21, 2023
@lars-reimann lars-reimann merged commit 2856296 into main Apr 21, 2023
@lars-reimann lars-reimann deleted the 179-column_names-parameter-in-fit-method-of-table-transformers-should-be-required branch April 21, 2023 10:21
lars-reimann pushed a commit that referenced this pull request May 11, 2023
## [0.12.0](v0.11.0...v0.12.0) (2023-05-11)

### Features

* add `learning_rate` to AdaBoost classifier and regressor. ([#251](#251)) ([7f74440](7f74440)), closes [#167](#167)
* add alpha parameter to `lasso_regression` ([#232](#232)) ([b5050b9](b5050b9)), closes [#163](#163)
* add parameter `lasso_ratio` to `ElasticNetRegression` ([#237](#237)) ([4a1a736](4a1a736)), closes [#166](#166)
* Add parameter `number_of_tree` to `RandomForest` classifier and regressor ([#230](#230)) ([414336a](414336a)), closes [#161](#161)
* Added `Table.plot_boxplots` to plot a boxplot for each numerical column in the table ([#254](#254)) ([0203a0c](0203a0c)), closes [#156](#156) [#239](#239)
* Added `Table.plot_histograms` to plot a histogram for each column in the table ([#252](#252)) ([e27d410](e27d410)), closes [#157](#157)
* Added `Table.transform_table` method which returns the transformed Table ([#229](#229)) ([0a9ce72](0a9ce72)), closes [#110](#110)
* Added alpha parameter to `RidgeRegression` ([#231](#231)) ([1ddc948](1ddc948)), closes [#164](#164)
* Added Column#transform ([#270](#270)) ([40fb756](40fb756)), closes [#255](#255)
* Added method `Table.inverse_transform_table` which returns the original table ([#227](#227)) ([846bf23](846bf23)), closes [#111](#111)
* Added parameter `c` to `SupportVectorMachines` ([#267](#267)) ([a88eb8b](a88eb8b)), closes [#169](#169)
* Added parameter `maximum_number_of_learner` and `learner` to `AdaBoost` ([#269](#269)) ([bb5a07e](bb5a07e)), closes [#171](#171) [#173](#173)
* Added parameter `number_of_trees` to `GradientBoosting` ([#268](#268)) ([766f2ff](766f2ff)), closes [#170](#170)
* Allow arguments of type pathlib.Path for file I/O methods ([#228](#228)) ([2b58c82](2b58c82)), closes [#146](#146)
* convert `Schema` to `dict` and format it nicely in a notebook ([#244](#244)) ([ad1cac5](ad1cac5)), closes [#151](#151)
* Convert between Excel file and `Table` ([#233](#233)) ([0d7a998](0d7a998)), closes [#138](#138) [#139](#139)
* convert containers for tabular data to HTML ([#243](#243)) ([683c279](683c279)), closes [#140](#140)
* make `Column` a subclass of `Sequence` ([#245](#245)) ([a35b943](a35b943))
* mark optional hyperparameters as keyword only ([#296](#296)) ([44a41eb](44a41eb)), closes [#278](#278)
* move exceptions back to common package ([#295](#295)) ([a91172c](a91172c)), closes [#177](#177) [#262](#262)
* precision metric for classification ([#272](#272)) ([5adadad](5adadad)), closes [#185](#185)
* Raise error if an untagged table is used instead of a `TaggedTable` ([#234](#234)) ([8eea3dd](8eea3dd)), closes [#192](#192)
* recall and F1-score metrics for classification ([#277](#277)) ([2cf93cc](2cf93cc)), closes [#187](#187) [#186](#186)
* replace prefix `n` with `number_of` ([#250](#250)) ([f4f44a6](f4f44a6)), closes [#171](#171)
* set `alpha` parameter for regularization of `ElasticNetRegression` ([#238](#238)) ([e642d1d](e642d1d)), closes [#165](#165)
* Set `column_names` in `fit` methods of table transformers to be required ([#225](#225)) ([2856296](2856296)), closes [#179](#179)
* set learning rate of Gradient Boosting models ([#253](#253)) ([9ffaf55](9ffaf55)), closes [#168](#168)
* Support vector machine for regression and for classification ([#236](#236)) ([7f6c3bd](7f6c3bd)), closes [#154](#154)
* usable constructor for `Table` ([#294](#294)) ([56a1fc4](56a1fc4)), closes [#266](#266)
* usable constructor for `TaggedTable` ([#299](#299)) ([01c3ad9](01c3ad9)), closes [#293](#293)

### Bug Fixes

* OneHotEncoder no longer creates duplicate column names ([#271](#271)) ([f604666](f604666)), closes [#201](#201)
* selectively ignore one warning instead of all warnings ([#235](#235)) ([3aad07d](3aad07d))
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🎉 This PR is included in version 0.12.0 🎉

The release is available on:

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@lars-reimann lars-reimann added the released Included in a release label May 11, 2023
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column_names parameter in fit method of table transformers should be required
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