def get_w(self, x, confounds):
### extract w values
W = []
W2 = []
for ii in range(len(self.st_crm)):
W.append(self.st_crm[ii][1].compute_weights(
self.st_crm[ii][0].transform(confounds, x[:, ii, :]),
mask_part=self.mask_part))
W2.append(self.st_crm[ii][2].compute_weights(
self.st_crm[ii][0].transform(confounds, x[:, ii, :]),
mask_part=self.mask_part))
xw = np.hstack(W)
xw2 = np.hstack(W2)
return subtypes.reshapeW(xw), subtypes.reshapeW(xw2)
def get_w(self,x,confounds):
### extract w values
W = []
for ii in range(len(self.st_crm)):
W.append(self.st_crm[ii][1].compute_weights(self.st_crm[ii][0].transform(confounds,x[:,ii,:]),mask_part=self.mask_part))
xw = np.hstack(W)
return subtypes.reshapeW(xw)
def get_w_files(self,files_path,subjects_id_list,confounds):
### extract w values
W = []
for ii in range(len(self.st_crm)):
x_ref = sbp_util.grab_rmap(subjects_id_list,files_path,ii,dynamic=False)
## compute w values
W.append(self.st_crm[ii][1].compute_weights(self.st_crm[ii][0].transform(confounds,x_ref),mask_part=self.mask_part))
del x_ref
xw = np.hstack(W)
return subtypes.reshapeW(xw)
def get_w_files(self, files_path, subjects_id_list, confounds):
### extract w values
W = []
W2 = []
for ii in range(len(self.st_crm)):
x_ref = sbp_util.grab_rmap(subjects_id_list,
files_path,
ii,
dynamic=False)
## compute w values
W.append(self.st_crm[ii][1].compute_weights(
self.st_crm[ii][0].transform(confounds, x_ref),
mask_part=self.mask_part))
W2.append(self.st_crm[ii][2].compute_weights(
self.st_crm[ii][0].transform(confounds, x_ref),
mask_part=self.mask_part))
del x_ref
xw = np.hstack(W)
xw2 = np.hstack(W2)
return subtypes.reshapeW(xw), subtypes.reshapeW(xw2)
