def regressor(self):
# print self.name, self.fit, self.__class__.__name__
is_mean = 'average' in self.fit.lower()
reg = self._regressor
if reg is None:
if is_mean:
reg = self._mean_regressor_factory()
else:
# print 'doing import of regressor {}'.format(self.__class__)
# st=time.time()
from pychron.core.regression.ols_regressor import PolynomialRegressor
# print 'doing import of regressor {}'.format(time.time()-st)
reg = PolynomialRegressor(tag=self.name,
xs=self.offset_xs,
ys=self.ys,
# fit=self.fit,
# filter_outliers_dict=self.filter_outliers_dict,
error_calc_type=self.error_type)
elif is_mean and not isinstance(reg, MeanRegressor):
reg = self._mean_regressor_factory()
if not is_mean:
reg.set_degree(fit_to_degree(self.fit), refresh=False)
reg.filter_outliers_dict = self.filter_outliers_dict
reg.trait_set(xs=self.offset_xs, ys=self.ys)
reg.calculate()
self._regressor = reg
return reg
