Getting coefficients/weights of added additional regressors

[PranavGuptInd]

Hi,

I have added some additional regressors to my neural prophet model by using model.add_future_regressor() as shown in documentation.
Now, I want to get the coefficients/weights of these regressors in the fitted model. I can see we can get these in plots using model.plot_parameters, but any other way we can get these values in a dataframe?

[noxan]

Hi @PranavGuptInd,
you can access the weights of regressors through the internal API m.model.get_covar_weights(name).

for name in m.config_regressors.keys():
    print(name, m.model.get_covar_weights(name))

Note: The name for the config_regressors might change in the future to config_future_regressors to be more precise.

Hope this helps and let us know if you have any other questions :)

[PranavGuptInd]

Thanks for answering. Also, can you please help me in getting the information of all the model parameters?