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Tutorial is broken? Low recall/precision in TF results #51
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This might be more involved in effort to fix. I'm marking this as a bug for now, but as the purpose of this tutorial is to teach people the ideas, rather than giving stable production quality code I think it's ok to keep this on the back burner. I am busy working on the next tutorial (NLP), so might not have the bandwidth to look into this right now. If you can fix and PR I would be happy to accept it! Thanks for pointing it out though :) |
Hey Spandan,
Looks like something has changed in the data or model, the TF precision and recall in the final runs are very low (.2 or so) might need.to future proof this a bit more against changes to the TMDB or IMDB apis
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