TST Add TransformedTargetRegressor to test_meta_estimators_delegate_data_validation#20175
Merged
glemaitre merged 7 commits intoscikit-learn:mainfrom Jun 3, 2021
Merged
Conversation
47 tasks
Member
Author
|
I added the documentation of n_features_in_ in the docstrings. I just noticed that the TransformedTargetRegressor is not tested by check_n_features_in_after_fitting due to the no_validation tag. Is this tag really necessary for this estimator ? |
ogrisel
approved these changes
Jun 1, 2021
Member
ogrisel
left a comment
There was a problem hiding this comment.
I just noticed that the TransformedTargetRegressor is not tested by check_n_features_in_after_fitting due to the no_validation tag. Is this tag really necessary for this estimator ?
I don't know. What fails if you remove this tag?
Still +1, with or without addressing this issue and the issue below.
| Number of features seen during :term:`fit`. Only defined if the | ||
| underlying transformers expose such an attribute when fit. | ||
|
|
||
| .. versionadded:: 0.24 |
Member
There was a problem hiding this comment.
If this is not covered by common tests, maybe we should add a dedicated test.
Member
Author
There was a problem hiding this comment.
There are many untested estimators. I'd rather try to find a way to include more estimators in the common tests. We've already started to discuss that with @glemaitre.
Member
Author
Only a test that checks if a warning is raised when Thinking more about that tag for meta-estimators: If a meta-estimator delegates all input validation to the underlying estimator, should it have the no validation tag ? It's not a stateless estimator, input will be validated eventually. |
thomasjpfan
added a commit
to thomasjpfan/scikit-learn
that referenced
this pull request
Jun 8, 2021
* TST enable test docstring params for feature extraction module (scikit-learn#20188) * DOC fix a reference in sklearn.ensemble.GradientBoostingRegressor (scikit-learn#20198) * FIX mcc zero divsion (scikit-learn#19977) * TST Add TransformedTargetRegressor to test_meta_estimators_delegate_data_validation (scikit-learn#20175) Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com> * TST enable n_feature_in_ test for feature_extraction module * FIX Uses points instead of pixels in plot_tree (scikit-learn#20023) * MNT n_features_in through the multiclass module (scikit-learn#20193) * CI Removes python 3.6 builds from wheel building (scikit-learn#20184) * FIX Fix typo in error message in `fetch_openml` (scikit-learn#20201) * FIX Fix error when using Calibrated with Voting (scikit-learn#20087) * FIX Fix RandomForestRegressor doesn't accept max_samples=1.0 (scikit-learn#20159) Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org> Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com> * ENH Adds Poisson criterion in RandomForestRegressor (scikit-learn#19836) Co-authored-by: Christian Lorentzen <lorentzen.ch@gmail.com> Co-authored-by: Alihan Zihna <alihanz@gmail.com> Co-authored-by: Alihan Zihna <a.zihna@ckhgbdp.onmicrosoft.com> Co-authored-by: Chiara Marmo <cmarmo@users.noreply.github.com> Co-authored-by: Olivier Grisel <olivier.grisel@gmail.com> Co-authored-by: naozin555 <37050583+naozin555@users.noreply.github.com> Co-authored-by: Venkatachalam N <venky.yuvy@gmail.com> Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com> * TST Replace assert_warns from decomposition/tests (scikit-learn#20214) * TST check n_features_in_ in pipeline module (scikit-learn#20192) Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org> Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com> Co-authored-by: Olivier Grisel <olivier.grisel@gmail.com> * Allow `n_knots=None` if knots are explicitly specified in `SplineTransformer` (scikit-learn#20191) Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org> * FIX make check_complex_data deterministic (scikit-learn#20221) * TST test_fit_docstring_attributes include properties (scikit-learn#20190) * FIX Uses the color max for colormap in ConfusionMatrixDisplay (scikit-learn#19784) * STY Changing .format method to f-string formatting (scikit-learn#20215) * CI Adds permissions for label action Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com> Co-authored-by: tsuga <2888173+tsuga@users.noreply.github.com> Co-authored-by: Conner Shen <connershen98@hotmail.com> Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com> Co-authored-by: mlondschien <61679398+mlondschien@users.noreply.github.com> Co-authored-by: Clément Fauchereau <clement.fauchereau@ensta-bretagne.org> Co-authored-by: murata-yu <67666318+murata-yu@users.noreply.github.com> Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org> Co-authored-by: Brian Sun <52805678+bsun94@users.noreply.github.com> Co-authored-by: Christian Lorentzen <lorentzen.ch@gmail.com> Co-authored-by: Alihan Zihna <alihanz@gmail.com> Co-authored-by: Alihan Zihna <a.zihna@ckhgbdp.onmicrosoft.com> Co-authored-by: Chiara Marmo <cmarmo@users.noreply.github.com> Co-authored-by: Olivier Grisel <olivier.grisel@gmail.com> Co-authored-by: naozin555 <37050583+naozin555@users.noreply.github.com> Co-authored-by: Venkatachalam N <venky.yuvy@gmail.com> Co-authored-by: Nanshan Li <nanshanli@dsaid.gov.sg> Co-authored-by: solosilence <abhishekkr23rs@gmail.com>
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
3 participants
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Working on #19333, for the compose module, I noticed that the TransformedTargetRegressor was not included in the
test_meta_estimators_delegate_data_validationtest. It already passes it.n_features_in_ is already in TransformedTargetRegressor and ColumnTransformer so the
composemodule can be removed from the list. Note that the ColumnTransformer is not tested anyway.