c25036261ee9d9e9c79099b4e7938d591cbda7b5,niftynet/contrib/regression_weighted_sampler/isample_regression.py,ISampleRegression,initialise_dataset_loader,#ISampleRegression#Any#Any#Any#,39

Before Change

        if not task_param.error_map:
            return

        file_lists = self.get_file_lists(data_partitioner)
        // modifying the original readers in regression application
        // as we need ground truth labels to generate error maps
        self.readers=[]
        for file_list in file_lists:

After Change

            // use the regression application implementation
            return

        try:
            reader_phase = self.action_param.dataset_to_infer
        except AttributeError:
            reader_phase = None
        file_lists = data_partitioner.get_file_lists_by(
            phase=reader_phase, action=self.action)
        // modifying the original readers in regression application
        // as we need ground truth labels to generate error maps
        self.readers = [
            ImageReader(["image", "output"]).initialise(

Instances