Comments (1)
Original - 56.94% accuracy
Shuffle entire batch columns - 56.84% accuracy
Shuffle columns within each batch - 56.98% accuracy
There appears to be some regularizing effect. We get less overfitting and we get a lower train accuracy (it's harder for the model to memorize the training input because we keep changing it).
It's noticeably slower during training, but probably not prohibitively so. (Perhaps we can rewrite crazyshuffle()
to operate on the GPU with jnp
?)
This seems like a useful form of data augmentation that we might want to consider using in the future.
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Related Issues (9)
- Filter out invalid games HOT 1
- Investigate using min_players when downloading match history HOT 1
- When building dataset, do not use str()
- Convert radiant_win (target) to float during pre-processing.
- Improve performance of column shuffle
- Investigate missing account numbers
- Investigate `float64` in account embedding columns HOT 2
- Create one embedding table for heroes and one for accounts
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