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sklearn.feature_selection._variance_threshold.VarianceThreshold
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sklearn.feature_selection._variance_threshold.VarianceThreshold

Visibility: public Uploaded 29-06-2023 by Luís Miguel Matos sklearn==1.2.2 numpy>=1.17.3 scipy>=1.3.2 joblib>=1.1.1 threadpoolctl>=2.0.0 0 runs
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  • openml-python python scikit-learn sklearn sklearn_1.2.2
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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.

Parameters

thresholdFeatures 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.default: 0.2

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