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Update model report links (#500)
* Update links to model report html files * Update RST file
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README.md

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* Chest X-ray classification
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* `evaluate` - Evaluate models on clinical prediction tasks
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* `monitor` - Detect dataset shift relevant for clinical use cases
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* `report` - Create [model report cards](https://vectorinstitute.github.io/cyclops/api/tutorials/kaggle/model_card.html) for clinical ML models
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* `report` - Create [model report cards](https://vectorinstitute.github.io/cyclops/api/tutorials/nihcxr/nihcxr_report_periodic.html) for clinical ML models
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``cyclops`` also provides a library of end-to-end use cases on clinical datasets such as
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docs/source/intro.rst

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- ``evaluate`` - Evaluate models on clinical prediction tasks
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- ``monitor`` - Detect dataset shift relevant for clinical use cases
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- ``report`` - Create `model report
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cards <https://vectorinstitute.github.io/cyclops/api/tutorials/kaggle/model_card.html>`__
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cards <https://vectorinstitute.github.io/cyclops/api/tutorials/nihcxr/nihcxr_report_periodic.html>`__
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for clinical ML models
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``cyclops`` also provides a library of end-to-end use cases on clinical
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python3 -m pip install 'pycyclops[report,models]'
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🧑🏿‍💻 Developing
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=============
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=======================
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Using poetry
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------------

docs/source/tutorials/kaggle/heart_failure_prediction.ipynb

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"tags": []
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},
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"source": [
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"You can view the generated HTML [report](./model_card.html)."
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"You can view the generated HTML [report](./heart_failure_report_periodic.html)."
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]
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}
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],

docs/source/tutorials/nihcxr/cxr_classification.ipynb

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"id": "d7545d39",
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"metadata": {},
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"source": [
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"You can view the generated HTML [report](./model_card.html)."
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"You can view the generated HTML [report](./nihcxr_report_periodic.html)."
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]
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}
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],

docs/source/tutorials/synthea/los_prediction.ipynb

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"id": "0d953f1b-845d-424e-b8b6-d782973d9e84",
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"metadata": {},
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"source": [
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"You can view the generated HTML [report](./model_card.html)."
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"You can view the generated HTML [report](./length_of_stay_report_periodic.html)."
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]
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}
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],

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