def __init__(self,
caps_directory,
subjects_visits_tsv,
diagnoses_tsv,
group_id,
image_type,
atlas,
output_dir,
pvc=None,
n_threads=15,
n_iterations=100,
test_size=0.3,
n_folds=10,
grid_search_folds=10,
balanced=True,
c_range=np.logspace(-6, 2, 17),
splits_indices=None):
self._output_dir = output_dir
self._n_threads = n_threads
self._n_iterations = n_iterations
self._test_size = test_size
self._grid_search_folds = grid_search_folds
self._balanced = balanced
self._c_range = c_range
self._n_folds = n_folds
self._splits_indices = splits_indices
self._input = input.CAPSRegionBasedInput(caps_directory,
subjects_visits_tsv,
diagnoses_tsv, group_id,
image_type, atlas, pvc)
self._validation = None
self._algorithm = None
def __init__(self,
caps_directory,
subjects_visits_tsv,
diagnoses_tsv,
group_id,
image_type,
atlas,
output_dir,
pvc=None,
n_threads=15,
n_iterations=100,
test_size=0.3,
grid_search_folds=10,
balanced=True,
n_estimators_range=(100, 200, 400),
max_depth_range=[None],
min_samples_split_range=[2],
max_features_range=('auto', 0.25, 0.5),
splits_indices=None):
self._output_dir = output_dir
self._n_threads = n_threads
self._n_iterations = n_iterations
self._test_size = test_size
self._grid_search_folds = grid_search_folds
self._balanced = balanced
self._n_estimators_range = n_estimators_range
self._max_depth_range = max_depth_range
self._min_samples_split_range = min_samples_split_range
self._max_features_range = max_features_range
self._splits_indices = splits_indices
self._input = input.CAPSRegionBasedInput(caps_directory,
subjects_visits_tsv,
diagnoses_tsv, group_id,
image_type, atlas, pvc)
self._validation = None
self._algorithm = None
