18808
18336
sklearn.feature_selection.variance_threshold.VarianceThreshold
sklearn.VarianceThreshold
sklearn.feature_selection.variance_threshold.VarianceThreshold
29
openml==0.11.0,sklearn==0.18.1
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.
2021-04-13T23:07:00
English
sklearn==0.18.1
numpy>=1.6.1
scipy>=0.9
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_0.18.1