statsmodels.nonparametric.kernel_regression.KernelReg.fit
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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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