You can always predict incrementally by predicting on batches of samples. On Fri, 3 May 2019 at 10:05, lampahome <pahome.c...@mirlab.org> wrote:
> I see some algo can cluster incrementally if dataset is too huge ex: > minibatchkmeans and Birch. > > But is there any way to evaluate incrementally? > > I found silhouette-coefficient and Calinski-Harabaz index because I don't > know the ground truth labels. > But they can't evaluate incrementally. > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn > -- Guillaume Lemaitre INRIA Saclay - Parietal team Center for Data Science Paris-Saclay https://glemaitre.github.io/
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