Tabular Regression
Scikit-learn
English
solar-energy
time-series
regression
random-forest
energy-forecasting
photovoltaic
Instructions to use nakedved/genai-capstone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use nakedved/genai-capstone with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("nakedved/genai-capstone", "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:
- c5d4c108cda06eaeb67a9c58470803fe316c987eacd547d8ce3091de02874e53
- Size of remote file:
- 17 MB
- SHA256:
- 41b8ce915cfde4f075450dd0483d59ec100e8b4d44c0ad666b17878db89fdf6d
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