Tabular Classification
Scikit-learn
English
tabular-regression
scikit-learn
health-analytics
mental-health
cdc-brfss
physical-wellbeing
random-forest
gradient-boosting
linear-regression
supervised-learning
feature-engineering
predictive-modeling
data-science
medical-data
Instructions to use lia-prop13/Physical-Mental-Proxy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use lia-prop13/Physical-Mental-Proxy with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("lia-prop13/Physical-Mental-Proxy", "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
- Xet hash:
- c898d79f48a3893dcf737d9a6d98647e9e085a0e0db4891e233382ed16bfab96
- Size of remote file:
- 584 kB
- SHA256:
- ab9f05a3b17aae2bfb640101432b79cbc51dcbe75aa505d56e72d0fc503ea2de
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