statsmodels.regression.linear_model.WLS.predict

WLS.predict(params, exog=None)

Return linear predicted values from a design matrix.

Parameters:
paramsnumpy:array_like

Parameters of a linear model.

exognumpy:array_like, optional

Design / exogenous data. Model exog is used if None.

Returns:
numpy:array_like

An array of fitted values.

Notes

If the model has not yet been fit, params is not optional.