Instructions to use Delower/dpp4-pic50-extra-trees with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use Delower/dpp4-pic50-extra-trees with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("Delower/dpp4-pic50-extra-trees", "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: 484 Bytes
57ff4ff 647ab90 57ff4ff | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | {
"model_name": "extra-trees-morgan1024-physchem",
"features": [
"morgan1024",
"physchem"
],
"framework": "scikit-learn",
"model_file": "extra_trees_morgan1024_physchem.pkl",
"model_type": "sklearn Pipeline (ColumnTransformer + ExtraTreesRegressor)",
"physchem_order": [
"MolWt",
"MolLogP",
"TPSA",
"NumHDonors",
"NumHAcceptors",
"NumRotatableBonds"
],
"feature_columns": "feature_0..feature_1029 (Morgan 1024 first, physchem last)"
} |