ML Hallucination checker draft - #239
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| import os | |||
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we might want to add this as a tutorial to the docs
| """ | ||
| Inference infrastructure for detecting pathway hallucinations using either rule-based heuristics or unified | ||
| machine learning models. | ||
| """ |
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usage examples to be added
| class HallucinationTrainer: | ||
| """ | ||
| A DeepChem-based ML infrastructure for training models to detect hallucinations. | ||
| """ |
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usage examples to be added
| self.model_type = None | ||
| self.model_params = {} | ||
| self.feat_name = None | ||
| self.threshold = 0.5 |
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might be better if we set this as a user optional input with 0.5 as the default
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Description
This PR adds the following:
hallucination_helpers.pyin the autosolve branch.I have added the example.py for review. I will add it to the docs later. Working on cleaning up the tests.
Fix #(issue)
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