ivanovitchm/mlops_nd_c3
A MLOps workflow to classify incomes based on publicly available Census Bureau data.
35
/ 100
Emerging
Implements an 8-stage DVC pipeline with deterministic and non-parametric data validation (Kolmogorov-Smirnov tests), FastAPI model deployment, and slice-based performance monitoring across demographic subgroups. Uses DVC for reproducible workflow orchestration with S3 remote storage, GitHub Actions for CI/CD automation, and pytest fixtures for comprehensive data and API testing.
No commits in the last 6 months.
Stale 6m
No Package
No Dependents
Maintenance
0 / 25
Adoption
7 / 25
Maturity
16 / 25
Community
12 / 25
Stars
37
Forks
5
Language
Jupyter Notebook
License
GPL-3.0
Category
Last pushed
Mar 28, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/mlops/ivanovitchm/mlops_nd_c3"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.