Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Regressor.summarize_metrics and Classifier.summarize_metrics #713

Closed
lars-reimann opened this issue May 4, 2024 · 1 comment · Fixed by #729
Closed

Regressor.summarize_metrics and Classifier.summarize_metrics #713

lars-reimann opened this issue May 4, 2024 · 1 comment · Fixed by #729
Assignees
Labels
enhancement 💡 New feature or request released Included in a release

Comments

@lars-reimann
Copy link
Member

Is your feature request related to a problem?

It's cumbersome and inefficient to compute multiple metrics for a regressor or classifier.

Desired solution

Add methods Regressor.summarize_metrics and Classifier.summarize_metrics that compute multiple metrics at once and return them in a Table. This is similar to Table.summarize_statistics.

Possible alternatives (optional)

No response

Screenshots (optional)

No response

Additional Context (optional)

No response

@lars-reimann lars-reimann added the enhancement 💡 New feature or request label May 4, 2024
@github-project-automation github-project-automation bot moved this to Backlog in Library May 4, 2024
@lars-reimann lars-reimann self-assigned this May 5, 2024
@lars-reimann lars-reimann moved this from Backlog to In Progress in Library May 5, 2024
lars-reimann added a commit that referenced this issue May 5, 2024
#729)

Closes #713

### Summary of Changes

Add `Regressor.summarize_metrics` and `Classifier.summarize_metrics` to
quickly check suitable metrics.

---------

Co-authored-by: megalinter-bot <[email protected]>
@github-project-automation github-project-automation bot moved this from In Progress to ✔️ Done in Library May 5, 2024
lars-reimann pushed a commit that referenced this issue May 9, 2024
## [0.24.0](v0.23.0...v0.24.0) (2024-05-09)

### Features

* `Column.plot_histogram()` using `Table.plot_histograms` for consistent results ([#726](#726)) ([576492c](576492c))
* `Regressor.summarize_metrics` and `Classifier.summarize_metrics` ([#729](#729)) ([1cc14b1](1cc14b1)), closes [#713](#713)
* `Table.keep_only_rows` ([#721](#721)) ([923a6c2](923a6c2))
* `Table.remove_rows` ([#720](#720)) ([a1cdaef](a1cdaef)), closes [#698](#698)
* Add `ImageDataset` and Layer for ConvolutionalNeuralNetworks ([#645](#645)) ([5b6d219](5b6d219)), closes [#579](#579) [#580](#580) [#581](#581)
* added load_percentage parameter to ImageList.from_files to load a subset of the given files ([#739](#739)) ([0564b52](0564b52)), closes [#736](#736)
* added rnn layer and TimeSeries conversion ([#615](#615)) ([6cad203](6cad203)), closes [#614](#614) [#648](#648) [#656](#656) [#601](#601)
* Basic implementation of cell with polars ([#734](#734)) ([004630b](004630b)), closes [#712](#712)
* deprecate `Table.add_column` and `Table.add_row` ([#723](#723)) ([5dd9d02](5dd9d02)), closes [#722](#722)
* deprecated `Table.from_excel_file` and `Table.to_excel_file` ([#728](#728)) ([c89e0bf](c89e0bf)), closes [#727](#727)
* Larger histogram plot if table only has one column ([#716](#716)) ([31ffd12](31ffd12))
* polars implementation of a column ([#738](#738)) ([732aa48](732aa48)), closes [#712](#712)
* polars implementation of a row ([#733](#733)) ([ff627f6](ff627f6)), closes [#712](#712)
* polars implementation of table ([#744](#744)) ([fc49895](fc49895)), closes [#638](#638) [#641](#641) [#649](#649) [#712](#712)
* regularization for decision trees and random forests ([#730](#730)) ([102de2d](102de2d)), closes [#700](#700)
* Remove device information in image class ([#735](#735)) ([d783caa](d783caa)), closes [#524](#524)
* return fitted transformer and transformed table from `fit_and_transform` ([#724](#724)) ([2960d35](2960d35)), closes [#613](#613)

### Bug Fixes

* make `Image.clone` internal ([#725](#725)) ([215a472](215a472)), closes [#626](#626)

### Performance Improvements

* improved performance of `TabularDataset.__eq__` by a factor of up to 2 ([#697](#697)) ([cd7f55b](cd7f55b))
@lars-reimann
Copy link
Member Author

🎉 This issue has been resolved in version 0.24.0 🎉

The release is available on:

Your semantic-release bot 📦🚀

@lars-reimann lars-reimann added the released Included in a release label May 9, 2024
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
enhancement 💡 New feature or request released Included in a release
Projects
Archived in project
Development

Successfully merging a pull request may close this issue.

1 participant