'Is it possible to average the output of multiple classification models using pipeline in sklearn?
As an example, suppose there is a random forest and a logistic regression model that accept the same input data, and I want the inference result to be the average of the probabilities of these two models.
In this case, is it possible to create a pipeline that outputs the average probabilities of the two models as shown above?
Solution 1:[1]
A VotingClassifier with voting="soft" will work for this purpose.
Sources
This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.
Source: Stack Overflow
| Solution | Source |
|---|---|
| Solution 1 | Ben Reiniger |