Related Issues (20)
- Feature: Create development pipeline for quick development of features.
- Feature: Correlation matrix to ``OutputAnalyser``.
- Feature: Clear delianation of which mode (train, infer) we are in.
- Investigate: Reason for Meta model underperformance
- Fix: Calibrate SKLearn Model fails
- Investigate: Reason for TextStats model to outperform on hatecheck
- Feature: Add Perspective API
- Feature: Create Huggingface meta model, where the predictions are concatenated with the original string
- Feature: Create 2 more test splits that we can evaluate on (+ a merged test split)
- Feature: Perspective API hooked up.
- Feature: Log DataLoader information to ``wandb`` to recognize easier which run was done with which dataset. HOT 1
- Investigate: In certain cases, 0s and 1s model is achieving 1 recall/precision on balanced datasets
- Feature: Add option to hand pick dataset categories for ``dev`` staging, as it fails if it only receives one category. HOT 1
- Fix: Delete the run
- Feature: Log ``classification_report`` metric to ``wandb``
- Investigate: Can we get out more of the sklearn models
- Feature: Pickling should only pickle the pipeline definition.
- Docs: More examples
- Fix: Plugins - outputanalyzer fails when training on tweeteval then evaluating on "offensive"
- Fix: Don't include data when pushing configs to ``wandb``
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