Pipeline: Multiple classifiers?

Question

I read following example on Pipelines and GridSearchCV in Python: http://www.davidsbatista.net/blog/2017/04/01/document_classification/

Logistic Regression:<

Answer 1

Yes, you can do that by building a wrapper function. The idea is to pass it two dictionaries: the models and the the parameters;

Then you iteratively call the models with all the parameters to test, using GridSearchCV for this.

Check this example, there is added extra functionality so that at the end you output a data frame with the summary of the different models/parameters and different performance scores.

EDIT: It's too much code to paste here, you can check a full working example here:

http://www.davidsbatista.net/blog/2018/02/23/model_optimization/