Created
June 18, 2020 19:15
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Contains gist of how different models are blended to create an ensembled predictions. Please be careful with the approach as this could result in corrupt kernels at the time of private submission.
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| # Read all the weights/outputs | |
| # Specify weights for all models (such that they equal to 1) | |
| # Finally, tweak them to create a perfect blend | |
| ### Ref | |
| ### https://www.kaggle.com/muhakabartay/simple-public-blender-0-936 |
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