statsmodels.nonparametric.kernel_regression.KernelReg.fit¶
-
KernelReg.fit(data_predict=
None)[source]¶ Returns the mean and marginal effects at the data_predict points.
- Parameters:¶
- data_predict : array_like, optional¶
Points at which to return the mean and marginal effects. If not given,
data_predict == exog.
- Returns:¶
mean (ndarray) – The regression result for the mean (i.e. the actual curve).
mfx (ndarray) – The marginal effects, i.e. the partial derivatives of the mean.