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chore(release): 0.24.0 [skip ci]
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## [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))
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## [0.24.0](https://github.com/Safe-DS/Library/compare/v0.23.0...v0.24.0) (2024-05-09)


### Features

* `Column.plot_histogram()` using `Table.plot_histograms` for consistent results ([#726](https://github.com/Safe-DS/Library/issues/726)) ([576492c](https://github.com/Safe-DS/Library/commit/576492cde80de2be4ab16b9926106beab13872f1))
* `Regressor.summarize_metrics` and `Classifier.summarize_metrics` ([#729](https://github.com/Safe-DS/Library/issues/729)) ([1cc14b1](https://github.com/Safe-DS/Library/commit/1cc14b16a5394e98bd64ad0aa39562af5c89b94d)), closes [#713](https://github.com/Safe-DS/Library/issues/713)
* `Table.keep_only_rows` ([#721](https://github.com/Safe-DS/Library/issues/721)) ([923a6c2](https://github.com/Safe-DS/Library/commit/923a6c29f9c9b6dc59a10b5746d71c6cff029f69))
* `Table.remove_rows` ([#720](https://github.com/Safe-DS/Library/issues/720)) ([a1cdaef](https://github.com/Safe-DS/Library/commit/a1cdaef259e9f889f8fb0355ef69d4666faa9c94)), closes [#698](https://github.com/Safe-DS/Library/issues/698)
* Add `ImageDataset` and Layer for ConvolutionalNeuralNetworks ([#645](https://github.com/Safe-DS/Library/issues/645)) ([5b6d219](https://github.com/Safe-DS/Library/commit/5b6d21988dd4513add7ef0068670d7b0cb9d6a9f)), closes [#579](https://github.com/Safe-DS/Library/issues/579) [#580](https://github.com/Safe-DS/Library/issues/580) [#581](https://github.com/Safe-DS/Library/issues/581)
* added load_percentage parameter to ImageList.from_files to load a subset of the given files ([#739](https://github.com/Safe-DS/Library/issues/739)) ([0564b52](https://github.com/Safe-DS/Library/commit/0564b523c46df74ac235c22783dcbf3d515ed122)), closes [#736](https://github.com/Safe-DS/Library/issues/736)
* added rnn layer and TimeSeries conversion ([#615](https://github.com/Safe-DS/Library/issues/615)) ([6cad203](https://github.com/Safe-DS/Library/commit/6cad203c951bd1a6f11bbaa8c513df6ed0ad226e)), closes [#614](https://github.com/Safe-DS/Library/issues/614) [#648](https://github.com/Safe-DS/Library/issues/648) [#656](https://github.com/Safe-DS/Library/issues/656) [#601](https://github.com/Safe-DS/Library/issues/601)
* Basic implementation of cell with polars ([#734](https://github.com/Safe-DS/Library/issues/734)) ([004630b](https://github.com/Safe-DS/Library/commit/004630b8195f3fca0d04311186c71abe486b8bf2)), closes [#712](https://github.com/Safe-DS/Library/issues/712)
* deprecate `Table.add_column` and `Table.add_row` ([#723](https://github.com/Safe-DS/Library/issues/723)) ([5dd9d02](https://github.com/Safe-DS/Library/commit/5dd9d026e404e02bfe0905e8328d5b621f36c219)), closes [#722](https://github.com/Safe-DS/Library/issues/722)
* deprecated `Table.from_excel_file` and `Table.to_excel_file` ([#728](https://github.com/Safe-DS/Library/issues/728)) ([c89e0bf](https://github.com/Safe-DS/Library/commit/c89e0bf4b2ecdd1d9be2694331c399994e565a06)), closes [#727](https://github.com/Safe-DS/Library/issues/727)
* Larger histogram plot if table only has one column ([#716](https://github.com/Safe-DS/Library/issues/716)) ([31ffd12](https://github.com/Safe-DS/Library/commit/31ffd12fbf3526f2150b67109931d1a103eb462d))
* polars implementation of a column ([#738](https://github.com/Safe-DS/Library/issues/738)) ([732aa48](https://github.com/Safe-DS/Library/commit/732aa480372fb8ce7c8d522c3f4ccddb4383b73f)), closes [#712](https://github.com/Safe-DS/Library/issues/712)
* polars implementation of a row ([#733](https://github.com/Safe-DS/Library/issues/733)) ([ff627f6](https://github.com/Safe-DS/Library/commit/ff627f66e45e3cdac5c5c956346251222566664d)), closes [#712](https://github.com/Safe-DS/Library/issues/712)
* polars implementation of table ([#744](https://github.com/Safe-DS/Library/issues/744)) ([fc49895](https://github.com/Safe-DS/Library/commit/fc498953ad30dbff5547557d35c06f8c3267cd79)), closes [#638](https://github.com/Safe-DS/Library/issues/638) [#641](https://github.com/Safe-DS/Library/issues/641) [#649](https://github.com/Safe-DS/Library/issues/649) [#712](https://github.com/Safe-DS/Library/issues/712)
* regularization for decision trees and random forests ([#730](https://github.com/Safe-DS/Library/issues/730)) ([102de2d](https://github.com/Safe-DS/Library/commit/102de2d90a129d33c78f58597d590df1f0da3ad3)), closes [#700](https://github.com/Safe-DS/Library/issues/700)
* Remove device information in image class ([#735](https://github.com/Safe-DS/Library/issues/735)) ([d783caa](https://github.com/Safe-DS/Library/commit/d783caa11bb2dc0e466e781eb55df6ed8a8b51a3)), closes [#524](https://github.com/Safe-DS/Library/issues/524)
* return fitted transformer and transformed table from `fit_and_transform` ([#724](https://github.com/Safe-DS/Library/issues/724)) ([2960d35](https://github.com/Safe-DS/Library/commit/2960d3558851691bb6986cbb05dcfa514b6f3ab6)), closes [#613](https://github.com/Safe-DS/Library/issues/613)


### Bug Fixes

* make `Image.clone` internal ([#725](https://github.com/Safe-DS/Library/issues/725)) ([215a472](https://github.com/Safe-DS/Library/commit/215a4726cd0e3615b95329f317433e3c48bd208d)), closes [#626](https://github.com/Safe-DS/Library/issues/626)


### Performance Improvements

* improved performance of `TabularDataset.__eq__` by a factor of up to 2 ([#697](https://github.com/Safe-DS/Library/issues/697)) ([cd7f55b](https://github.com/Safe-DS/Library/commit/cd7f55ba4f882c2af9233dece53d8e8b6191a6fb))

## [0.23.0](https://github.com/Safe-DS/Library/compare/v0.22.1...v0.23.0) (2024-05-04)


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2 changes: 1 addition & 1 deletion pyproject.toml
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[tool.poetry]
name = "safe-ds"
version = "0.23.0"
version = "0.24.0"
description = "A user-friendly library for Data Science in Python."
authors = ["Lars Reimann <[email protected]>"]
license = "MIT"
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