Discretize Table
#143
Assignees
Labels
Comments
Merged
Merged
|
@robmeth : Please add a comment explaining the problem why you marked this as blocked (you mentioned in the final stand up meeting today the failing pandasEqualsTest...). |
|
@robmeth Use the ordinal encoding. This transforms the data and returns the bin index rather than a bin as sparse matrix. This will also resolve the problem with the tests. See #327 (comment) |
robmeth
added a commit
that referenced
this issue
Jul 7, 2023
Closes #143. ### Summary of Changes * Added a class `Discretizer` in `safeds.data.tabular.transformation` that wraps the [`KBinsDiscretizer` of `scikit-learn`](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.KBinsDiscretizer.html) * Made the class a subclass of `TableTransformer` * The `__init__` for now only has a parameter `number_of_bins` to control how many bins are created * If `number_of_bins` is less than 2, it raises a `ValueError`
lars-reimann
pushed a commit
that referenced
this issue
Jul 13, 2023
## [0.15.0](v0.14.0...v0.15.0) (2023-07-13) ### Features * Add copy method for tables ([#405](#405)) ([72e87f0](72e87f0)), closes [#275](#275) * add gaussian noise to image ([#430](#430)) ([925a505](925a505)), closes [#381](#381) * add schema conversions when adding new rows to a table and schema conversion when creating a new table ([#432](#432)) ([6e9ff69](6e9ff69)), closes [#404](#404) [#322](#322) [#127](#127) [#322](#322) [#127](#127) * add test for empty tables for the method `Table.sort_rows` ([#431](#431)) ([f94b768](f94b768)), closes [#402](#402) * added color adjustment feature ([#409](#409)) ([2cbee36](2cbee36)), closes [#380](#380) * added test_repr table tests ([#410](#410)) ([cb77790](cb77790)), closes [#349](#349) * discretize table ([#327](#327)) ([5e3da8d](5e3da8d)), closes [#143](#143) * Improve error handling of TaggedTable ([#450](#450)) ([c5da544](c5da544)), closes [#150](#150) * Maintain tagging in methods inherited from `Table` class ([#332](#332)) ([bc73a6c](bc73a6c)), closes [#58](#58) * new error class `OutOfBoundsError` ([#438](#438)) ([1f37e4a](1f37e4a)), closes [#262](#262) * rename several `Table` methods for consistency ([#445](#445)) ([9954986](9954986)), closes [#439](#439) * suggest similar columns if column gets accessed that doesnt exist ([#385](#385)) ([6a097a4](6a097a4)), closes [#203](#203) ### Bug Fixes * added the missing ids in parameterized tests ([#412](#412)) ([dab6419](dab6419)), closes [#362](#362) * don't warn if `Imputer` transforms column without missing values ([#448](#448)) ([f0cb6a5](f0cb6a5)) * Warnings raised by underlying seaborn and numpy libraries ([#425](#425)) ([c4143af](c4143af)), closes [#357](#357)
|
🎉 This issue has been resolved in version 0.15.0 🎉 The release is available on:
Your semantic-release bot 📦🚀 |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Is your feature request related to a problem?
Discretization means to replace a continuous variable by a variable that only has a finite amount of values. This is a preprocessing step that we should support.
Desired solution
Discretizerinsafeds.data.tabular.transformationthat wraps theKBinsDiscretizerofscikit-learnTableTransformer__init__should for now only have a parameternumber_of_binsto control how many bins are creatednumber_of_binsis less than 2, raise aValueErrorThe text was updated successfully, but these errors were encountered: