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v0.1.27

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@vhfsantos vhfsantos released this 11 Jul 14:39
· 27 commits to main since this release
v0.1.27
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Learn about vigilant mode.

Improve support for user-trained PARM models

Key changes:

  • Organised output directories in PARM_train.py by creating subfolders (temp_models and performance_stats) for temporary model files and performance metrics, respectively.
  • Enhanced validation loop in PARM_train.py to generate and save scatter plots showing predicted vs. measured values for each validation epoch.
  • Change the filename of the output model. Now, it follows the basename of the output directory.
  • Added support for test fold predictions in PARM_predict.py (via --predict_test_fold argument), allowing evaluation of trained models using HDF5 test fold data. This includes generating measured vs. predicted plots and calculating Pearson correlation coefficients.
  • Add instructions on the README on how to train the models.

Full Changelog: v0.1.0...v0.1.27

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