statsmodels.genmod.generalized_linear_model.GLM.predict
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GLM.predict(params, exog=None, exposure=None, offset=None, linear=False)
[source] -
Return predicted values for a design matrix
Parameters: params : array-like
Parameters / coefficients of a GLM.
exog : array-like, optional
Design / exogenous data. Is exog is None, model exog is used.
exposure : array-like, optional
Exposure time values, only can be used with the log link function. See notes for details.
offset : array-like, optional
Offset values. See notes for details.
linear : bool
If True, returns the linear predicted values. If False, returns the value of the inverse of the model?s link function at the linear predicted values.
Returns: An array of fitted values :
Notes
Any
exposure
andoffset
provided here take precedence over theexposure
andoffset
used in the model fit. Ifexog
is passed as an argument here, then anyexposure
andoffset
values in the fit will be ignored.Exposure values must be strictly positive.
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