def __init__(self,
caps_directory,
subjects_visits_tsv,
diagnoses_tsv,
group_id,
image_type,
output_dir,
fwhm=0,
modulated="on",
pvc=None,
precomputed_kernel=None,
mask_zeros=True,
n_threads=15,
n_iterations=100,
test_size=0.3,
n_learning_points=10,
grid_search_folds=10,
balanced=True,
c_range=np.logspace(-6, 2, 17)):
self._output_dir = output_dir
self._n_threads = n_threads
self._n_iterations = n_iterations
self._test_size = test_size
self._n_learning_points = n_learning_points
self._grid_search_folds = grid_search_folds
self._balanced = balanced
self._c_range = c_range
self._input = input.CAPSVoxelBasedInput(
caps_directory, subjects_visits_tsv, diagnoses_tsv, group_id,
image_type, fwhm, modulated, pvc, mask_zeros, precomputed_kernel)
self._validation = None
self._algorithm = None
def __init__(self,
caps_directory,
subjects_visits_tsv,
diagnoses_tsv,
group_id,
image_type,
output_dir,
fwhm=0,
modulated="on",
pvc=None,
precomputed_kernel=None,
mask_zeros=True,
n_threads=15,
n_iterations=100,
test_size=0.3,
grid_search_folds=10,
balanced=True,
c_range=np.logspace(-6, 2, 17),
splits_indices=None,
feature_selection_method=None,
feature_rescaling_method='zscore',
top_k=50):
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._splits_indices = splits_indices
self._feature_rescaling_method = feature_rescaling_method
self._feature_selection_method = feature_selection_method
self._top_k = top_k
self._input = input.CAPSVoxelBasedInput(
caps_directory, subjects_visits_tsv, diagnoses_tsv, group_id,
image_type, fwhm, modulated, pvc, mask_zeros, precomputed_kernel)
self._validation = None
self._algorithm = None
def __init__(self,
caps_directory,
subjects_visits_tsv,
diagnoses_tsv,
group_id,
image_type,
output_dir,
fwhm=0,
modulated="on",
pvc=None,
precomputed_kernel=None,
mask_zeros=True,
n_threads=15,
n_folds=10,
grid_search_folds=10,
balanced=True,
c_range=np.logspace(-6, 2, 17)):
# Here some parameters selected for this task
self._output_dir = output_dir
self._n_threads = n_threads
self._n_folds = n_folds
self._grid_search_folds = grid_search_folds
self._balanced = balanced
self._c_range = c_range
# In this case we are running a voxel based input approach
#
self._input = input.CAPSVoxelBasedInput(
caps_directory, subjects_visits_tsv, diagnoses_tsv, group_id,
image_type, fwhm, modulated, pvc, mask_zeros, precomputed_kernel)
# Validation and algorithm will be selected in the next part of code
self._validation = None
self._algorithm = None