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Commits on Mar 3, 2026

• Merge pull request #1 from agi-lab/fix/paper-estimation

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  EricTianDong

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• Update estimation.py to version used for paper experiments

  EricTianDong

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Commits on Nov 28, 2025

• Bake in the version of the 'drn' package used (commit 4e5840e)

  Pat-Laub

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• Remove implicit regularisation experiment and rename baseline-dependency file

  EricTianDong

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• Sync DRN repo with latest notebooks and scripts

  EricTianDong

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Commits on Aug 8, 2025

• Rename 'distributions' to 'predict'

  Pat-Laub

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Commits on Aug 3, 2025

• Updates to later analysis notebooks (use calculate_metrics / tidy df)

  Pat-Laub

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• Updates to new __init__ args for models (no p, glm -> baseline)

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• Update to use the latest features from the package (e.g. model.fit)

  Pat-Laub

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Commits on Jul 7, 2025

• Fix wrong variable name in 02's CANN fitting

  Pat-Laub

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Commits on Jun 5, 2025

• GLM new baselines, new synthetic dataset, updated plotting routines

  

  EricTianDong

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  Pat-Laub

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Commits on Jun 1, 2025

• Fixes for 07 / 09, generate metrics in a dataframe directly

  Pat-Laub

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• Add missing model_names for final 09 sensitivity test

  Pat-Laub

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• Add baseline sensitivity test to 'make all' target

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• Fix dataset splitting test store for integer not string training size

  Pat-Laub

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Commits on May 31, 2025

• Remove unused variables and imports

  Pat-Laub

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• Have hyperparameter tuning pickle keep track of total wall time

  Pat-Laub

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• Update baseline test to store metrics in tidy df instead of dicts

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• Have plots and tables from baseline sensitivity test save to files

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• Fix utils to let results dictionary keys be int rather than str

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• Save the plots from the dataset splitting sensitivity test

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• Ensure that the makefile runs the notebooks in the correct order

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• Interim real dataset

  Pat-Laub

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  e34aefb

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• Rename the baseline sensitivity test notebook, and two minor edits

  Pat-Laub

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• Load dataset from files, and update to use latest train interface

  Pat-Laub

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  b8e5342

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• Add KL regularisation sensitivity test

  

  EricTianDong

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  Pat-Laub

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• Simpler analysis_utils.py and change instance to explain

  

  EricTianDong

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• Remove duplicate DRNExplainers & run black -C

  Pat-Laub

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• Calling GLM staticmethod directly on the class

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• Make all the datasets first (in overlapping way) in baseline experiment

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• Collect training hyperparameters, update to latest interfaces

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• Remove unused cells, simplify shared test set generation

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• Run black

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• Add baseline dependency experiment

  

  EricTianDong

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  Pat-Laub

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  e6b2d5b

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• Rename train/val/test split sensitivity test notebook

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