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GitHub / monolli / IFPaaS
IFPaaS - Iris Flower Prediction as a Service. An implementation of a machine learning microservice and its deployment to the cloud using: Python, Flask, Sklearn, Docker, CloudFormation, ECS, Fargate, Pytest, Travis CI, RESTPlus and Gunicorn.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/monolli%2FIFPaaS
Stars: 2
Forks: 0
Open Issues: 4
License: gpl-3.0
Language: Python
Repo Size: 471 KB
Dependencies:
43
Created: over 4 years ago
Updated: over 2 years ago
Last pushed: about 1 year ago
Last synced: about 1 year ago
Topics: api, aws, cicd, cloudformation, container, devops, docker, ecs, ecs-service, fargate, flask, flask-api, gunicorn, iris, iris-flowers, machine-learning, microservice, prediction, sklearn, travis-ci
Files
Dependencies
- Click ==7.0
- Flask ==1.1.1
- Jinja2 ==2.11.3
- MarkupSafe ==1.1.1
- PyYAML ==5.4
- Werkzeug ==0.16.1
- aniso8601 ==8.0.0
- attrs ==19.3.0
- awscli ==1.18.6
- botocore ==1.15.6
- colorama ==0.4.3
- docutils ==0.15.2
- entrypoints ==0.3
- flake8 ==3.7.9
- flask-restplus ==0.13.0
- gunicorn ==20.0.4
- itsdangerous ==1.1.0
- jmespath ==0.9.5
- joblib ==0.14.1
- jsonschema ==3.2.0
- mccabe ==0.6.1
- more-itertools ==8.2.0
- numpy ==1.18.1
- packaging ==20.1
- pluggy ==0.13.1
- py ==1.10.0
- pyasn1 ==0.4.8
- pycodestyle ==2.5.0
- pyflakes ==2.1.1
- pyparsing ==2.4.6
- pyrsistent ==0.15.7
- pytest ==5.3.5
- python-dateutil ==2.8.1
- pytz ==2019.3
- rsa ==4.7
- s3transfer ==0.3.3
- scikit-learn ==0.22.1
- scipy ==1.4.1
- six ==1.14.0
- sklearn ==0.0
- urllib3 ==1.26.5
- wcwidth ==0.1.8
- python 3-slim build