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Description

We now can compare recommendation performance of an ANN with other models under the same Experiment as demonstrated in the example. Alternatively, ANN can be built from a trained model as before. They're now flexible for different scenarios.

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Checklist:

  • I have added tests.
  • I have updated the documentation accordingly.
  • I have updated README.md (if you are adding a new model).
  • I have updated examples/README.md (if you are adding a new example).
  • I have updated datasets/README.md (if you are adding a new dataset).

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@lthoang lthoang left a comment

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@tqtg we didn't check if a model is fitted before. Is it better if we just show warnings instead of throwing exception when a model is_fitted? This will not affect execution if someone reuses their model.

@qtuantruong qtuantruong merged commit a60bb86 into PreferredAI:master Dec 12, 2023
@qtuantruong qtuantruong deleted the ann-experiment-compatible branch December 12, 2023 23:51
@darrylong darrylong added the feature New feature/enhancement request label Jan 11, 2024
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4 participants