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
| { | |
| "gistar": { | |
| "permutations": 26480, | |
| "raw_counts": { | |
| "moran_i": 0.3848551744256353, | |
| "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 | |
| } | |
| } | |
| } |