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trident-design-recommender-fastapi
anekazek/trident-design-recommender-fastapi
trident-design-recommender-fastapi is a tabular regression model from anekazek. Use it for the tabular regression task on the model card, and read the license before you ship it in a product. It is set up for scikit-learn. The card lists the license as mit.
Model bundle untuk inference engine TRIDENT Physics-Guided Design Recommender.
Access
Public
Updated Apr 16, 2026
Repo size
127 MB
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0
Public
Repo makeup
Click a slice to open those files.
.joblib127 MB · 98%
At a glance
- Task
- Tabular Regression
- Library
- scikit-learn
- License
- mit
- Access
- Public
- Created
- Apr 16, 2026
- Updated
- Apr 16, 2026
- SHA
- aa5ea1be
Model card
From the Hugging Face model README
TRIDENT Design Recommender FastAPI Inference Bundle
Model bundle untuk inference engine TRIDENT Physics-Guided Design Recommender.
Isi repo
uplift_model.joblibcost_model.joblibrisk_model.joblibartifact_manifest.jsonexample_payload.jsonexample_payload_wrapped.jsonapp.pyrequirements.txt
Artifact info
- Version: 1.0.0
- scikit-learn: 1.6.1
- Number of trained features: 139
Outputs
pred_uplift_bopdpred_cost_usdpred_screenout_riskpred_gross_value_usdpred_design_score_usd
Jalankan lokal
pip install -r requirements.txt
uvicorn app:app --host 0.0.0.0 --port 8000
Health check
curl http://127.0.0.1:8000/health
Predict
curl -X POST "http://127.0.0.1:8000/predict" \
-H "Content-Type: application/json" \
-d @example_payload_wrapped.json
- Task
- Tabular Regression
- Library
- scikit-learn
- License
- mit
- Created
- Apr 16, 2026
- Updated
- Apr 16, 2026