d3c8ad31daea26a757b4c945c6b6e4df98071111,pyinterpret/core/global_interpretation/partial_dependence.py,PartialDependence,partial_dependence,#PartialDependence#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#,85

Before Change

        pdb.set_trace()
        pdps = []
        import functools
        number_of_process = Pool(n_jobs)
        for pd_row in number_of_process.map(functools.partial(compute_pd, model_fn=predict_fn,
                                              grid_expanded=grid_expanded, number_of_classes=n_classes, feature_ids=feature_ids,
                                              input_data=data_sample), [i for i in range(grid_expanded.shape[0])]):
            pdps.append(pd_row)

After Change

        n_classes = self._predict_fn.n_classes
        pd_list = []
        import functools
        executor_instance = Pool(n_jobs) if n_jobs > 0 else Pool()
        for pd_row in executor_instance.map(functools.partial(compute_pd, model_fn=predict_fn,
                                              grid_expanded=grid_expanded, number_of_classes=n_classes, feature_ids=feature_ids,
                                              input_data=data_sample), [i for i in range(grid_expanded.shape[0])]):

Instances