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Improve error handling of classifiers and regressors #153

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lars-reimann opened this issue Apr 2, 2023 · 1 comment · Fixed by #355
Closed

Improve error handling of classifiers and regressors #153

lars-reimann opened this issue Apr 2, 2023 · 1 comment · Fixed by #355
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@Marsmaennchen221 @alex-senger
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documentation 📖 Improvements or additions to documentation enhancement 💡 New feature or request released Included in a release testing 🧪 Additional automated tests

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@lars-reimann
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lars-reimann commented Apr 2, 2023 •
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Is your feature request related to a problem?

In some cases, error handling is not ideal (see solution for details) in the safeds.ml package.

Desired solution

  • Validate inputs of a function as the first step
  • Raise an appropriate exception with an appropriate message if issues are found
  • Document in the docstring that the exception is raised and under which condition
  • Test that the correct exception with the correct message is raised

Possible alternatives (optional)

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Additional Context (optional)

  • Example: If non-numerical columns are in a table, an appropriate message should be shown. Users should also be guided towards the OneHotEncoder or LabelEncoder and we should describe when to use which.
@lars-reimann lars-reimann added documentation 📖 Improvements or additions to documentation enhancement 💡 New feature or request testing 🧪 Additional automated tests labels Apr 2, 2023
@lars-reimann lars-reimann mentioned this issue Apr 14, 2023
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@alex-senger alex-senger mentioned this issue Jun 9, 2023
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@alex-senger alex-senger linked a pull request Jun 9, 2023 that will close this issue
feat: Improve Error Handling of classifiers and regressors #355
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@alex-senger alex-senger mentioned this issue Jun 9, 2023
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alex-senger added a commit that referenced this issue Jun 16, 2023
@alex-senger @Marsmaennchen221
@megalinter-bot @zzril @jxnior01
feat: Improve Error Handling of classifiers and regressors (#355)
66f5f64 
Closes #153 .

### Summary of Changes

The Error Handling of classifiers and regressors was not ideal. Now
every classifier and regressor validates the data, especially when given
non-numerical or missing values in the table.

<!-- Please provide a summary of changes in this pull request, ensuring
all changes are explained. -->

---------

Co-authored-by: Alexander Gréus <[email protected]>
Co-authored-by: megalinter-bot <[email protected]>
Co-authored-by: Severin Paul Höfer <[email protected]>
Co-authored-by: Alexander <[email protected]>
Co-authored-by: Junior Atemebang <[email protected]>
lars-reimann pushed a commit that referenced this issue Jun 30, 2023
@semantic-release-bot
chore(release): 0.14.0 [skip ci]
d6f012c 
## [0.14.0](v0.13.0...v0.14.0) (2023-06-30)

### Features

* 290 properties for width-height of image ([#359](#359)) ([d9ebdc1](d9ebdc1)), closes [#290](#290)
* Add `find_edges` method to `Image` class ([#383](#383)) ([d14b6ce](d14b6ce)), closes [#288](#288)
* Add `StandardScaler` transformer ([#316](#316)) ([57b0572](57b0572)), closes [#142](#142)
* Add docstrings to the getter methods for hyperparameters in Regression and Classification models ([#371](#371)) ([9073f04](9073f04)), closes [#313](#313)
* Added `Table.group_by` to group a table by a given key ([#343](#343)) ([afb98be](afb98be)), closes [#160](#160)
* Added and improved errors and warnings in the table transformers ([#372](#372)) ([544e307](544e307)), closes [#152](#152)
* added crop() method in image and tests ([#365](#365)) ([eba8163](eba8163))
* added invert_colors method ([#367](#367)) ([1e4d110](1e4d110))
* adjust brightness and contrast of image ([#368](#368)) ([1752feb](1752feb)), closes [#289](#289) [#291](#291)
* blur Image method ([#363](#363)) ([c642176](c642176))
* check that methods of table can handle an empty table ([#314](#314)) ([686c2e7](686c2e7)), closes [#123](#123)
* convert image to grayscale ([#366](#366)) ([1312fe7](1312fe7)), closes [#287](#287)
* enhance `replace_column` to accept a list of new columns ([#312](#312)) ([d50c5b5](d50c5b5)), closes [#301](#301)
* Explicitly throw `UnknownColumnNameError` in `TaggedTable._from_table` ([#334](#334)) ([498999f](498999f)), closes [#333](#333)
* flip images / eq method for image ([#360](#360)) ([54f4ae1](54f4ae1)), closes [#280](#280)
* improve `table.summary`. Catch `ValueError` thrown by `column.stability` ([#390](#390)) ([dbbe0e3](dbbe0e3)), closes [#320](#320)
* improve error handling of `column.stability` when given a column that contains only None ([#388](#388)) ([1da2499](1da2499)), closes [#319](#319)
* Improve Error Handling of classifiers and regressors ([#355](#355)) ([66f5f64](66f5f64)), closes [#153](#153)
* Resize image ([#354](#354)) ([3a971ca](3a971ca)), closes [#283](#283)
* rotate_left and rotate_right added to Image ([#361](#361)) ([c877530](c877530)), closes [#281](#281)
* set kernel of support vector machine ([#350](#350)) ([1326f40](1326f40)), closes [#172](#172)
* sharpen image ([#364](#364)) ([3444700](3444700)), closes [#286](#286)

### Bug Fixes

* Keeping no columns with Table.keep_only_columns results in an empty Table with a row count above 0 ([#386](#386)) ([15dab06](15dab06)), closes [#318](#318)
* remove default value of `positive_class` parameter of classifier metrics ([#382](#382)) ([58fc09e](58fc09e))
* remove default value of `radius` parameter of `blur` ([#378](#378)) ([7f07f29](7f07f29))
@lars-reimann
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🎉 This issue has been resolved in version 0.14.0 🎉

The release is available on:

Your semantic-release bot 📦🚀

@lars-reimann lars-reimann added the released Included in a release label Jun 30, 2023
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feat: Improve Error Handling of classifiers and regressors Safe-DS/Library
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