/fastai-shared-notebooks

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fastai-shared-notebooks

Some useful functions for fastai tabular model analysing
Hope the notebook is self explanatory :)

Contains functions and examples of:

  • How to make prediction on a new dataset with trained fastai model (learner)
  • How to use trained embeddings in other process (to train Random Forest in this case)
  • How to calculate feature importance in fastai
  • How to calculate partial dependence for categorical features
  • How to plot dendrograms for the data
  • How to plot embeddings

Thanks to:

  • fastai framework itself
  • fastai Machine Learning course lesson 3 and lesson 4. Or if you prefer - the notebook of these tutorials
    My notebook is pretty much an implementation of these ones for fastai tabular model case (with some of my thoughts and experiments' results)