def transformed(self, X, energies):
if X.shape[0] == 0:
return np.zeros((0, X.shape[1]+1))
try:
spectra, jump_vals = normal_xas.normalize_all(
energies, X, self.edge, self.preedge_params, self.postedge_params)
jump_vals = jump_vals.reshape(-1, 1)
except Exception:
# TODO handle meaningful exceptions with PreprocessException
spectra = X
jump_vals = np.zeros((len(X), 1))
return np.hstack((spectra, jump_vals))
def transformed(self, X, energies):
if X.shape[0] == 0:
return np.zeros((0, X.shape[1]+1))
try:
spectra, jump_vals = normal_xas.normalize_all(
energies, X, self.edge, self.preedge_params, self.postedge_params)
jump_vals = jump_vals.reshape(-1, 1)
except Exception:
# TODO handle meaningful exceptions with PreprocessException
spectra = X
jump_vals = np.zeros((len(X), 1))
return np.hstack((spectra, jump_vals))