Multiple Model Ensembling
-
Updated
Apr 4, 2017 - Python
Multiple Model Ensembling
Stacking Classifier with parallel computing architecture based on Message Passing Interface.
Create an arbitrary graph of models and meta-models to form an ensemble. This can be viewed as a generalisation of stacking ensembles.
Some useful scripts for data processing and machine learning with python.
Example of ensembled collection of "expert" learners fed into an encoder mlp for final action output
Add a description, image, and links to the ensemble-stacking topic page so that developers can more easily learn about it.
To associate your repository with the ensemble-stacking topic, visit your repo's landing page and select "manage topics."