Keras3 update #39
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Keras3 update #39
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djgagne
requested changes
May 5, 2024
scripts/run_inference.py
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| x_data = transform_data(input_data=data, | ||
| transformer=transformer, | ||
| input_features=input_features) | ||
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| if config["evidential"]: | ||
| predictions = model.predict_uncertainty(x_data) | ||
| predictions = model.predict(x_data, return_uncertainties=True, batch_size=2048) |
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Can you make return_uncertainties and batch_size config options rather than be hard coded?
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Thanks for the review -- resolved. |
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The main updates in this PR now use models trained with the updated miles-guess evidential models (subclassed with keras 3 models). They are simply loaded with
keras.models.load_model()and no longer depend on a training configuration file.Other additions: