from . import model_base
__all__ = ['GLS_RampFitModel']
[docs]class GLS_RampFitModel(model_base.DataModel):
"""
A data model for the optional output of the ramp fitting step
for the GLS algorithm.
"""
schema_url = "gls_rampfit.schema.yaml"
def __init__(self, init=None,
yint=None,
sigyint=None,
pedestal=None,
crmag=None,
sigcrmag=None,
**kwargs):
super(GLS_RampFitModel, self).__init__(init=init, **kwargs)
if yint is not None:
self.yint = yint
if sigyint is not None:
self.sigyint = sigyint
if pedestal is not None:
self.pedestal = pedestal
if crmag is not None:
self.crmag = crmag
if sigcrmag is not None:
self.sigcrmag = sigcrmag