I am applying muliple regression methods given in Pycaret libreary and then i am getting final aggregating results of these methods through the blending.

[Gyagupta]

I am applying multiple regression methods using Pycaret and then i am getting final aggregating (Y) results of these methods through the blending. but i am not able to get the final regression equation (with coefficient) after using blender function for multiple regression methods. how can i get the final regression equation (After blending) also?

please help!!

Blending models

blender = blend_models(estimator_list = [tuned_decision_tree, tuned_bayesian_ridge, tuned_linear_regression])

Originally posted by @Gyagupta in https://github.com/pycaret/pycaret/discussions/3138

[ngupta23]

You can not get a "regression equation" for an ensemble model (AFAIK) if that is what you are asking for. Have you seen this ability in any other library? If so, please share the details. Thanks!

[Gyagupta]

Thank you for the repsonse sir. Is there ANY other way to get the "regression equation" after using 'blending' or 'stacking' function, any soruce of maths given anywhere that indicates the background process of how esemble model works? From which we can we do it manually.

[ngupta23]

It uses the following scikit model under the hood. Please refer to its documentation on how it works.

https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.VotingRegressor.html