Set number of trees for `GradientBoosting` - Githubissues

Safe-DS / Library

A user-friendly library for Data Science in Python.

https://library.safeds.com

MIT License

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Set number of trees for `GradientBoosting` #170

Closed lars-reimann closed 1 year ago

lars-reimann commented 1 year ago

Is your feature request related to a problem?

It's not possible to set the number of trees for gradient boosting (classifier & regressor).

Desired solution

Add a new parameter number_of_trees: int to the initializer of safeds.ml.classical.classification.GradientBoosting and safeds.ml.classical.regression.GradientBoosting
Raise a value error if number_of_trees < 1
Pass it along to n_estimators of the wrapped scikit-learn model in the fit method

Possible alternatives (optional)

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Additional Context (optional)

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lars-reimann commented 1 year ago

:tada: This issue has been resolved in version 0.12.0 :tada:

The release is available on:

v0.12.0
GitHub release

Your semantic-release bot :package::rocket: