Get model predictions #14
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* finish download module changes * download notebook * rerun split data module * rerun download module * rerun train_model * rerun evaluation module * rerun interpretation module * combine datasets * combine datasets * split changes * update format * format update * format * finish split data * combine datasets, remove holdout * formatting * rerun pipelines * remove folded class * rerun pipeline * Update utils/download_utils.py Co-authored-by: Dave Bunten <ekgto445@gmail.com> * PR fixes * module docstrings Co-authored-by: Dave Bunten <ekgto445@gmail.com>
d33bs
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Feb 14, 2023
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Nice job! I only had minor comments and suggestions here, overall LGTM!
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This PR is ready for review!
This is the last PR to restructure the
3.evaluate_modelmodule. In this PR, a notebook is made to get and compile the predictions for each model and dataset combination. These predictions are saved in a.tsvintermediate file.Also, the unused
evaluate_module.ipynbnotebook and its associated utils have been removed, as this code has been redistributed into many notebooks.class_PR_curves.pyalso has slight changes as the edited notebook must have not been reconverted during the PR it was created in, my bad!