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_predictnumpy:array_like,
optional
Points at which to return the mean and marginal effects. If not given,
data_predict == exog
.
- data_predictnumpy:array_like,
- 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.
- mean