georgeberry / dota_embeddings Goto Github PK

The process is simple here: embed heroes just like words, but pick a hidden dimension of size 2. We could pick a larger number of latent dimensions for other tasks, but my goal was to quickly visualize the heroes in 2 dimensions. An alternative strategy would be to embed heroes in > 2 dimensions and then use a t-SNE for dimensionality reduction.

Also for simplicity I embed from the Radiant perspective, so if you embed dire heroes you might get slightly different results. I ignore order pick order effects, which could also add interesting complexity.

Python 3

• pytorch
• requests
• numpy
• pandas

R

• ggplot / tidyverse
• ggrepel

1. Make sure your paths are right. Either naviagte to the dota_embeddings folder or change paths to be absolute.
2. Run crawl.py for awhile or click the download link above
3. Run embed.py
4. Open up R and visualize using visualize.R