GitHub / q00Dree / fastapi-iris-classifier
Simple example of how to deploy machine learning model (RandomForestClassifier) with FastAPI and docker-compose.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/q00Dree%2Ffastapi-iris-classifier
PURL: pkg:github/q00Dree/fastapi-iris-classifier
Stars: 1
Forks: 0
Open issues: 11
License: mit
Language: Python
Size: 54.7 KB
Dependencies parsed at:
22
Created at: over 4 years ago
Updated at: about 3 years ago
Pushed at: about 4 years ago
Last synced at: over 2 years ago
Topics: docker, docker-compose, fastapi, iris-classification, iris-dataset, machine-learning, randomforestclassifier
- certifi ==2020.6.20
- chardet ==3.0.4
- click ==7.1.2
- fastapi ==0.61.1
- h11 ==0.11.0
- idna ==2.10
- joblib ==0.17.0
- numpy ==1.19.4
- pandas ==1.1.4
- pydantic ==1.7.2
- python-dateutil ==2.8.1
- pytz ==2020.4
- requests ==2.24.0
- scikit-learn ==0.24.1
- scipy ==1.6.2
- six ==1.15.0
- sklearn ==0.0
- starlette ==0.13.6
- threadpoolctl ==2.1.0
- urllib3 ==1.25.11
- uvicorn ==0.12.2
- yapf ==0.31.0