https://github.com/lsjsj92/python_bentoml_example

Python bentoML(API serving for machine learning model) example & tutorial code
https://github.com/lsjsj92/python_bentoml_example

bentoml deep-learning machine-learning mlops python

Last synced: 6 months ago
JSON representation

Python bentoML(API serving for machine learning model) example & tutorial code

• Host: GitHub
• URL: https://github.com/lsjsj92/python_bentoml_example
• Owner: lsjsj92
• Created: 2021-07-25T04:44:54.000Z (about 4 years ago)
• Default Branch: main
• Last Pushed: 2021-08-01T20:38:31.000Z (about 4 years ago)
• Last Synced: 2025-02-14T13:43:12.018Z (8 months ago)
• Topics: bentoml, deep-learning, machine-learning, mlops, python
• Language: Python
• Homepage:
• Size: 9.77 KB
• Stars: 2
• Watchers: 2
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
# Python bentoml for Machine Learning model API serving

Python bentoML API serving example for serving machine learning model with API

### Info & reference

> Blog post (Description)

    - https://lsjsj92.tistory.com/621  

> refer

    - https://github.com/bentoml/BentoML

## Description

- bentoml_process.py

    - Packing data with BentoML classifier

- classifier.py

    - BentoML classifier

    - Make BentoML model API environment

- main.py

    - Main file on this process

    - start with is_keras argument 

        - 1 : use tensorflow(keras)

        - 0 : non use tensorflow(keras), use scikit learn

    - Execute titanic modeling

    - Execute BentoML Packing

- titanic.py

    - Main of Titniac process

    - data load -> preprocess -> ML/DL modeling -> return model

- model.py

    - Machine Learning or Deep Learning Modeling part

    - Machine Learning : use scikit-learn library or lightgbm

    - Deep Learning : use tensorflow library ( keras )

- preprocess.py

    - Preprocess part

    - Preprocess titanic data

- config.py

    - Config part

- dataio.py

    - Data io part

    - Get data