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