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Latest commit 3116286 Sep 6, 2018
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learned_embeddings Delete Readme.md Aug 29, 2018
README.md Update README.md Aug 29, 2018
data_sample.csv Code and data for calculating and plotting the embeddings Aug 22, 2018
keras_model.py Update keras_model.py Sep 6, 2018
plot_embeddings.py Update plot_embeddings.py Aug 22, 2018



Code for building the Neural Network and a small subset (both row-wise and column-wise) of the dataset used to calculate the embeddings of the blog post: http://www.f1-predictor.com/

  1. Run keras_model.py to build the model and save the resulting embeddings.
  2. Execute plot_embeddings.py changing the filenames in rows 67 and 68 in order to plot the respective embeddings using UMAP.

Otherwise, you can just download the learned embeddings and execute plot_embeddings.py to plot the respective embeddings using UMAP (you still need to change the filenames in rows 67 and 68).