def response(self, params):
"""Model response.
Parameters
----------
params : iterable
model
Returns
-------
array_like
model response vector
"""
ret = super().response(params)
if self.complex:
return squeezeComplex(ret)
return ret
def _ensureData(self, data):
"""Check data validity"""
if isinstance(data, pg.DataContainer):
pg.critical("Implement me")
if data is None:
data = self.fw.dataVals
vals = data
if isComplex(data):
self.fop.complex = True
vals = squeezeComplex(data)
if abs(min(vals)) < 1e-12:
print(min(vals), max(vals))
pg.critical("There are zero data values.")
return vals
def response(self, params):
ret = super().response(params)
if self.complex:
return squeezeComplex(ret)
return ret