659
1159
TESTa4be1e8d5esklearn.feature_selection._variance_threshold.VarianceThreshold
sklearn.VarianceThreshold
sklearn.feature_selection._variance_threshold.VarianceThreshold
1
openml==0.14.1,sklearn==0.22.2
Feature selector that removes all low-variance features.
This feature selection algorithm looks only at the features (X), not the
desired outputs (y), and can thus be used for unsupervised learning.
2024-01-10T15:52:29
English
sklearn==0.22.2
numpy>=1.11.0
scipy>=0.17.0
joblib>=0.11
threshold
float
0.0
Features with a training-set variance lower than this threshold will
be removed. The default is to keep all features with non-zero variance,
i.e. remove the features that have the same value in all samples.
openml-python
python
scikit-learn
sklearn
sklearn_0.22.2