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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.

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