k_all, _ = np.polyfit(dts[start:end], msd_all[start:end], 1) k_x, _ = np.polyfit(dts[start:end], msd_x[start:end], 1) k_y, _ = np.polyfit(dts[start:end], msd_y[start ...
# one class and the rest of the classes. # * :class:`~sklearn.multiclass.OutputCodeClassifier`: trains a set of binary cv_results_tree = cross_validate(tree, X, y, cv=cv, n_jobs=2) cv_results_ovo = ...
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