WORK IN PROGRESS - Saves more important output on predictiontest models #52
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| TRAINER.train() | ||
| self.training_error = TRAINER.train() | ||
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| cv=CrossValidator(trainer=TRAINER, dataset=DS, n_folds=5) |
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reading a little more on this, i think DS needs to be on a different dataset than the system was trained on.
owocki
changed the title
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Closing this for now. |
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What
records training and evaluation error on the predictiontest models
Why
This information can help us know if we're under-fitting or over-fitting the data.
Feedback
Feedback welcome.