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sklearn.semi_supervised._label_propagation.LabelPropagation

sklearn.semi_supervised._label_propagation.LabelPropagation

Visibility: public Uploaded 05-04-2023 by Rhonda Barnett 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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Label Propagation classifier.

Parameters

gammaParameter for rbf kerneldefault: 20
kerneldefault: "rbf"
max_iterChange maximum number of iterations alloweddefault: 1000
n_jobsThe number of parallel jobs to run ``None`` means 1 unless in a :obj:`joblib.parallel_backend` context ``-1`` means using all processors. See :term:`Glossary ` for more details.default: null
n_neighborsParameter for knn kernel which need to be strictly positivedefault: 7
tolConvergence tolerance: threshold to consider the system at steady statedefault: 0.001

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