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UQ_methods

Notebooks and Scripts for Uncertainty Quantification in ML models

Each of the .ipynb files in the notebooks folder walks you through one application of a UQ method and leverages some pre-written functions from Utility_Scripts to do so.

There are six primary methods that these notebooks explore (along with some WIPs): 0. Ensemble methods

  1. Training on Uncertainty
  2. PyMC3 metthods
  3. Tensorflow Probability (Regression) (WIP)
  4. Tensorflow Probability (Classification) (WIP)
  5. Using Dropout in NNs

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Notebooks and Scripts for Uncertainty Quantification in ML models

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