BACK
wine-quality
:Use the Pull Tag button to download this ModelKit.
Or, read our KitOps documentation to learn how to use kit unpack --filter to download only the components you need.
ModelKit Tag Metadata
- Digest
- Author
- N/A
- Date added
- Size
- 2.9MB
- Total pulls
- 1
Package
- Name
- white-wine-quality-predictor
- Version
- 1.0
- Authors
- N/A
- Description
- Predict the quality of white wine
Model
- Name
- white-wine-xgb
- Path
- model/model.pkl
- License
- Apache 2.0
- Parts
- N/A
Datasets
- white-wine-quality.csv
- data/white-wine-quality.csv
Codebases
- demo.py
- ModelKit integration with MLflow
- requirements.txt
- Python dependencies
Docs
- README.md
- Model card
- LICENSE
- License file
- artifacts/confusion_matrix.png
- Image from experiment run industrious-loon-433
- artifacts/roc_curve_plot.png
- Image from experiment run industrious-loon-433
- artifacts/precision_recall_curve_plot.png
- Image from experiment run industrious-loon-433
- artifacts/per_class_metrics.csv
- Image from experiment run industrious-loon-433
- artifacts/shap_beeswarm_plot.png
- Image from experiment run industrious-loon-433
- artifacts/shap_feature_importance_plot.png
- Image from experiment run industrious-loon-433
- artifacts/shap_summary_plot.png
- Image from experiment run industrious-loon-433