Tabular Classification
Scikit-learn
Joblib
genomics
structural-variants
short-tandem-repeats
variant-calling
confidence-calibration
random-forest
Instructions to use khyeom/SVSTR-Score with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use khyeom/SVSTR-Score with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("khyeom/SVSTR-Score", "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
Release v1.0: HPRC-trained 35/21-feature calibrated SV+STR models
#1
by khyeom - opened
Replace v13 (23-feature parents) with v1 RandomForest + isotonic models (208 HPRC genomes; SV 35 / STR 21 features). New configs/inference/card; delete old v13 weights + STR locus lookup.
khyeom changed pull request status to merged