Tabular Regression
Scikit-learn
English
scikit-learn
linear-regression
microsoft-fabric
mlflow
diabetes
healthcare
Instructions to use kendrickfff/Disease-Progression-Prediction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use kendrickfff/Disease-Progression-Prediction with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("kendrickfff/Disease-Progression-Prediction", "sklearn_model.joblib") ) # only load pickle files from sources you trust # read more about it here https://skops.readthedocs.io/en/stable/persistence.html - Notebooks
- Google Colab
- Kaggle
Download python_env.yaml from kendrickfff/Disease-Progression-Prediction: direct link, hf CLI and curl.
- Browser
- Download file 120 Bytes
-
https://huggingface.co/kendrickfff/Disease-Progression-Prediction/resolve/main/python_env.yaml
- Command line
-
hf download hf://kendrickfff/Disease-Progression-Prediction/python_env.yaml
-
curl -L -o python_env.yaml https://huggingface.co/kendrickfff/Disease-Progression-Prediction/resolve/main/python_env.yaml
120 Bytes
| python: 3.11.8 | |
| build_dependencies: | |
| - pip==24.0 | |
| - setuptools==68.2.2 | |
| - wheel==0.41.2 | |
| dependencies: | |
| - -r requirements.txt | |