17427
1
sklearn.feature_selection.variance_threshold.VarianceThreshold
sklearn.VarianceThreshold
sklearn.feature_selection.variance_threshold.VarianceThreshold
28
openml==0.10.2,sklearn==0.21.3
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.
2019-11-22T02:17:02
English
sklearn==0.21.3
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_0.21.3