KernelReg.fit()

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.