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:
- 1ac607e7d751bd5b23710f86aad40eb879463c19ea7018d8f500de94335819dd
- Size of remote file:
- 1.05 MB
- SHA256:
- 54d171305bffcf2bdd2610c6cd698a10ef0f9ce9a8787a4c4f8ea456a39dc4bb
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