Sim eval #8
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Sim eval #8
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…RC and Brier score
…(evaluation across many model settings)
… number of batches in fine-tuned model
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Adding a framework for evaluating various settings using simulated data. Switching from ini files to yaml files to support more complicated config (for the evaluation experiment). Depending on the configuration, the meta-evaluator fits various pre-trained models, fine-tunes those on the simulated training sets, and evaluates them on the simulated test sets. Results are aggregated in to CSV files. Added metrics for evaluation (loss, Brier score, AUROC, and AUPRC). Also added a simple regression model to server as baseline.