Update to tensorflow2.16 and tf probability0.24 #65
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…straints for various libraries
MicheleCattaneo
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dnerini
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dnerini
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Oct 24, 2024
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Looking at the warnings from the unit tests, I wonder if we could cleanup a bit... can you have a quick look? |
louisPoulain
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* Updated to tensorflow2.16 and tf probability0.24, relaxed version constraints for various libraries * update for warnings cleanup * Removed lambda functions from serializable models to remove safety warnings * Test loading probabilistic model from mlflow --------- Co-authored-by: Daniele Nerini <[email protected]>
dnerini
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Nov 14, 2024
* Increase a bit the margins of the distribution * Fix missing value for mean * increase spacing around limits to 0.05 * Update to tensorflow2.16 and tf probability0.24 (#65) * Updated to tensorflow2.16 and tf probability0.24, relaxed version constraints for various libraries * update for warnings cleanup * Removed lambda functions from serializable models to remove safety warnings * Test loading probabilistic model from mlflow --------- Co-authored-by: Daniele Nerini <[email protected]> * Update packages with security alerts (#66) * Fix formatting (#67) * (WIP) Refactor a bit how we handle probabilistic layers * (WIP) Prepare change in how we handle proba layers * Small bug fix * Fix missing import * Move to another script to avoid circular import * Move to another script to avoid circular imports * Add missing import * Bug fix * Move calculation of n_params to get_proba_layer * Fix logger name * Update models.py * Modify arguments for doubly censored * Remove leftovers --------- Co-authored-by: Louis Poulain--Auzéau <[email protected]> Co-authored-by: Michele Cattaneo <[email protected]> Co-authored-by: Daniele Nerini <[email protected]>
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To use Keras 2 while using tensorflow2.16+ I followed: this and switched to
tf-keras.Dependency constraints for pandas, scipy, xarray, dask, numba and zarr have been relaxed.