Skip to content

DOC fix estimator documentation in IHT #890

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.

Sign up for GitHub

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

Merged
merged 1 commit into from
Jan 25, 2022
Merged

DOC fix estimator documentation in IHT #890

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
9 changes: 2 additions & 7 deletions imblearn/under_sampling/_prototype_selection/_instance_hardness_threshold.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -38,13 +38,8 @@ class InstanceHardnessThreshold(BaseUnderSampler):
Parameters
----------
estimator : estimator object, default=None
Classifier to be used to estimate instance hardness of the samples. By
default a :class:`~sklearn.ensemble.RandomForestClassifier` will be
used. If ``str``, the choices using a string are the following:
``'knn'``, ``'decision-tree'``, ``'random-forest'``, ``'adaboost'``,
``'gradient-boosting'`` and ``'linear-svm'``. If object, an estimator
inherited from :class:`~sklearn.base.ClassifierMixin` and having an
attribute :func:`predict_proba`.
Classifier to be used to estimate instance hardness of the samples.
This classifier should implement `predict_proba`.

{sampling_strategy}

Expand Down