Tabular Classification
Scikit-learn
Joblib
English
French
wildfire
fire-weather-index
scikit-learn
logistic-regression
france
var
open-data
Instructions to use GuillaumeGay/firepredict with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use GuillaumeGay/firepredict with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("GuillaumeGay/firepredict", "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 usual_rates.csv from GuillaumeGay/firepredict: direct link, hf CLI and curl.
- Browser
- Download file 3.76 kB
-
https://huggingface.co/GuillaumeGay/firepredict/resolve/main/usual_rates.csv
- Command line
-
hf download hf://GuillaumeGay/firepredict/usual_rates.csv
-
curl -L -o usual_rates.csv https://huggingface.co/GuillaumeGay/firepredict/resolve/main/usual_rates.csv
3.76 kB
| insee,usual_rate | |
| 83001,0.21052631578947367 | |
| 83002,0.3684210526315789 | |
| 83003,0.5263157894736842 | |
| 83004,0.7368421052631579 | |
| 83005,0.05263157894736842 | |
| 83006,0.15789473684210525 | |
| 83007,0.5789473684210527 | |
| 83008,0.0 | |
| 83009,0.2631578947368421 | |
| 83010,0.21052631578947367 | |
| 83011,0.3157894736842105 | |
| 83012,0.631578947368421 | |
| 83013,0.0 | |
| 83014,0.0 | |
| 83015,0.2631578947368421 | |
| 83016,0.2631578947368421 | |
| 83017,0.2631578947368421 | |
| 83018,0.21052631578947367 | |
| 83019,0.47368421052631576 | |
| 83020,0.10526315789473684 | |
| 83021,0.21052631578947367 | |
| 83022,0.10526315789473684 | |
| 83023,0.5263157894736842 | |
| 83025,0.10526315789473684 | |
| 83026,0.47368421052631576 | |
| 83027,0.3157894736842105 | |
| 83028,0.42105263157894735 | |
| 83029,0.2631578947368421 | |
| 83030,0.21052631578947367 | |
| 83031,0.5263157894736842 | |
| 83032,0.21052631578947367 | |
| 83033,0.47368421052631576 | |
| 83034,0.47368421052631576 | |
| 83035,0.3157894736842105 | |
| 83036,0.15789473684210525 | |
| 83037,0.10526315789473684 | |
| 83038,0.05263157894736842 | |
| 83039,0.05263157894736842 | |
| 83040,0.10526315789473684 | |
| 83041,0.42105263157894735 | |
| 83042,0.10526315789473684 | |
| 83043,0.5263157894736842 | |
| 83044,0.15789473684210525 | |
| 83045,0.3684210526315789 | |
| 83046,0.42105263157894735 | |
| 83047,0.21052631578947367 | |
| 83048,0.21052631578947367 | |
| 83049,0.21052631578947367 | |
| 83050,1.5263157894736843 | |
| 83051,0.8421052631578947 | |
| 83052,0.15789473684210525 | |
| 83053,0.21052631578947367 | |
| 83054,0.10526315789473684 | |
| 83055,0.3157894736842105 | |
| 83056,0.5789473684210527 | |
| 83057,0.3157894736842105 | |
| 83058,0.6842105263157895 | |
| 83059,0.10526315789473684 | |
| 83060,0.15789473684210525 | |
| 83061,1.0 | |
| 83062,0.21052631578947367 | |
| 83063,0.5263157894736842 | |
| 83064,0.15789473684210525 | |
| 83065,0.42105263157894735 | |
| 83066,0.42105263157894735 | |
| 83067,0.2631578947368421 | |
| 83068,0.5789473684210527 | |
| 83069,0.9473684210526315 | |
| 83070,0.3157894736842105 | |
| 83071,0.3684210526315789 | |
| 83072,0.9473684210526315 | |
| 83073,0.6842105263157895 | |
| 83074,0.05263157894736842 | |
| 83075,0.21052631578947367 | |
| 83076,0.15789473684210525 | |
| 83077,0.15789473684210525 | |
| 83078,0.05263157894736842 | |
| 83079,0.10526315789473684 | |
| 83080,0.2631578947368421 | |
| 83081,0.2631578947368421 | |
| 83082,0.2631578947368421 | |
| 83083,0.3157894736842105 | |
| 83084,0.05263157894736842 | |
| 83085,0.42105263157894735 | |
| 83086,0.6842105263157895 | |
| 83087,0.42105263157894735 | |
| 83088,0.21052631578947367 | |
| 83089,0.10526315789473684 | |
| 83090,0.47368421052631576 | |
| 83091,0.2631578947368421 | |
| 83092,0.3157894736842105 | |
| 83093,0.0 | |
| 83094,0.15789473684210525 | |
| 83095,0.3684210526315789 | |
| 83096,0.3157894736842105 | |
| 83097,0.21052631578947367 | |
| 83098,0.05263157894736842 | |
| 83099,0.42105263157894735 | |
| 83100,0.3157894736842105 | |
| 83101,0.631578947368421 | |
| 83102,0.10526315789473684 | |
| 83103,0.15789473684210525 | |
| 83104,0.21052631578947367 | |
| 83105,0.0 | |
| 83106,0.15789473684210525 | |
| 83107,0.7368421052631579 | |
| 83108,0.10526315789473684 | |
| 83109,0.15789473684210525 | |
| 83110,0.05263157894736842 | |
| 83111,0.10526315789473684 | |
| 83112,0.15789473684210525 | |
| 83113,0.15789473684210525 | |
| 83114,0.21052631578947367 | |
| 83115,0.15789473684210525 | |
| 83116,0.2631578947368421 | |
| 83117,0.10526315789473684 | |
| 83118,0.3157894736842105 | |
| 83119,0.10526315789473684 | |
| 83120,0.3684210526315789 | |
| 83121,0.47368421052631576 | |
| 83122,0.0 | |
| 83123,0.2631578947368421 | |
| 83124,1.0526315789473684 | |
| 83125,0.10526315789473684 | |
| 83126,0.42105263157894735 | |
| 83127,0.42105263157894735 | |
| 83128,0.0 | |
| 83129,0.21052631578947367 | |
| 83130,0.0 | |
| 83131,0.05263157894736842 | |
| 83132,0.05263157894736842 | |
| 83133,0.5263157894736842 | |
| 83134,0.3684210526315789 | |
| 83135,0.0 | |
| 83136,0.15789473684210525 | |
| 83137,1.631578947368421 | |
| 83138,0.2631578947368421 | |
| 83139,0.3684210526315789 | |
| 83140,0.8421052631578947 | |
| 83141,0.21052631578947367 | |
| 83142,0.15789473684210525 | |
| 83143,0.5263157894736842 | |
| 83144,0.15789473684210525 | |
| 83145,0.47368421052631576 | |
| 83146,0.3684210526315789 | |
| 83147,0.10526315789473684 | |
| 83148,0.42105263157894735 | |
| 83149,0.3157894736842105 | |
| 83150,0.3684210526315789 | |
| 83151,0.0 | |
| 83152,0.10526315789473684 | |
| 83153,0.47368421052631576 | |
| 83154,0.47368421052631576 | |