initial replication with bugs

Author: BAZEILLE Thomas

__init__.py

@@ -0,0 +1,31 @@
+import itertools
+import warnings
+import os
+from sklearn.svm import LinearSVC
+from sklearn.pipeline import make_pipeline
+from joblib import Parallel, delayed
+from nilearn.input_data import NiftiMasker
+from fmralign.alignment_methods import OptimalTransportAlignment
+from fmralign-benchmark-mockup.utils import try_methods_decoding, find_method_label, experiments_variables, fetch_align_decode_data, _check_srm_params, fetch_resample_basc, WHOLEBRAIN_DATASETS, ROI_DATASETS, inter_subject_align_decode
+from fmralign-benchmark-mockup.conf import ROOT_FOLDER, N_JOBS
+warnings.filterwarnings(action='once')
+
+input_methods = ["anat_inter_subject", "pairwise_scaled_orthogonal",
+                 "pairwise_ot_e-1",  "srm", "intra_subject", "HA"]
+
+###### EXPERIMENT 1 #######
+# Inter-subject results
+experiment_parameters = list(itertools.product(
+    WHOLEBRAIN_DATASETS, input_methods))
+
+Parallel(n_jobs=1)(delayed(inter_subject_align_decode)(input_method, dataset_params, clustering,
+                                                       ROOT_FOLDER, n_pieces=n_pieces, n_jobs=N_JOBS) for dataset_params, input_method in experiment_parameters)
+# Within-subject results
+Parallel(n_jobs=1)(delayed(within_subject_decoding)(dataset_params, root_folder)
+                   for dataset_params in WHOLEBRAIN_DATASETS)
+
+###### EXPERIMENT 2 #######
+
+experiment_parameters = list(itertools.product(ROI_DATASETS, input_methods))
+Parallel(n_jobs=1)(delayed(inter_subject_align_decode)(input_method, dataset_params, clustering,
+                                                       ROOT_FOLDER, n_pieces=n_pieces, n_jobs=N_JOBS) for dataset_params, input_method in experiment_parameters)