Weight for Samples on SVM

there is a option sample_weight in fit(X[, y, sample_weight]) function (OneClassSVM, sklearn library).

If I use the option sample_weight , I might give some weight to some point(that are likely to be more normal points), right?

Otherwise, what does mean the sample_weight?

link: https://scikit-learn.org/stable/modules/generated/sklearn.svm.OneClassSVM.html#sklearn.svm.OneClassSVM.score_samples

Topic machine-learning-model training weighted-data anomaly-detection machine-learning

Category Data Science

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