Instructions to use adarshcod30/margadrishti-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use adarshcod30/margadrishti-models with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("adarshcod30/margadrishti-models", "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
File size: 640 Bytes
55151a3 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 | {
"gistar": {
"permutations": 26480,
"raw_counts": {
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"moran_p": 3.7762924360862507e-05,
"hot_raw_p05": 37,
"hot_fdr": 6,
"cold_fdr": 1
},
"per_patrol_hour": {
"moran_i": 0.210928770710602,
"moran_p": 0.0006797326384955251,
"hot_raw_p05": 28,
"hot_fdr": 0,
"cold_fdr": 3
},
"hotspot_overlap": 0,
"raw_only": 6,
"rate_only": 0
},
"clustering": {
"sample_size": 80000,
"hdbscan": {
"clusters": 124,
"noise": 15294
},
"stdbscan": {
"clusters": 151,
"noise": 72710
}
}
} |