feat(medcat-tutorials): Add bulk inference tutorial - #594
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| - 2. Unsupervised training on model: introductory/basic/2._Unsupervised_training_on_model.ipynb | ||
| - 3. Supervised training on model: introductory/basic/3._Supervised_training_on_model.ipynb | ||
| - 4. Evaluating performance on dataset: introductory/basic/4._Evaluating_performance_on_dataset.ipynb | ||
| - 5. Running models on large datasets: 5._Running_model_on_large_datasets.ipynb |
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| - 5. Running models on large datasets: 5._Running_model_on_large_datasets.ipynb | |
| - 5. Running models on large datasets: introductory/basic/5._Running_model_on_large_datasets.ipynb |
Missing the path here?
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Yep needs the path I think. RTD page breaks on it https://cogstack-platform-toolkit--594.org.readthedocs.build/projects/nlp/en/594/medcat-tutorials/5._Running_model_on_large_datasets.ipynb
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Yep - thought I was following whaat was already there, but clearly not.
| "source": [ | ||
| "## Loading model pack\n", | ||
| "\n", | ||
| "We can reuse a model pack we created in earlier parts for the purposes of the tutorial." |
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I think you've decided to download the med mentions in the end - would reword this accordingly as you're not using a model pack created earlier anymore
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Yeah - thanks.
I didn't think the earlier models would really be useful examples for filtering.
…del_on_large_datasets.ipynb Co-authored-by: Alistair Hendrickson <alistair@cogstack.org>
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This PR adds a bulk inference tutorial. It goes over filtering as well as multiprocessing. It also tried to note as many of the relevant caveats as possible.
The notebook is best viewed here:
https://github.com/CogStack/cogstack-nlp/blob/feat/medcat-tutorials/add-bulk-inference-tutorial/medcat-v2-tutorials/notebooks/introductory/basic/5._Running_model_on_large_datasets.ipynb
PS:
Also added 4th part to workflow (it had been omitted for some reason).