Learning dota2 hero embeddings from matches
Three-dimensional PCA (available in tensorboard) does a good job of showing the tetrahedral structure of the embeddings.
UMAP does a good job projecting it in two dimensions:
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Learning (word2vec style) dota2 hero embeddings from matches
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swarmer/hero2vec
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Learning (word2vec style) dota2 hero embeddings from matches
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