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