Metadata-Version: 2.1
Name: sktmls
Version: 2020.5.27
Summary: A package for MLS-Models
Home-page: https://github.com/sktaiflow/mls-model-registry
Author: Colin
Author-email: colin@sktai.io
License: UNKNOWN
Description: # mls-model-registry (sktmls)
        
        ## Contents
        
        - [Description](#description)
        - [How to use](#how-to-use)
        - [Version](#version)
        
        ## Description
        
        A Python package for MLS model registry.
        
        This python package includes
        - Customized prediction pipelines inheriting MLSModel
        - Model uploader to AWS S3 for meta management and online prediction
        
        ## Installation
        
        Installation is automatically done by training containers in YE. If you want to install manually for local machines,
        
        ```bash
        # develop
        pip install --index-url https://test.pypi.org/simple/ --no-deps sktmls
        
        # production
        pip install sktmls
        ```
        
        ## How to use
        
        [MLS Docs](https://ab.sktmls.com/docs/model-registry)
        
        ### Version
        `sktmls` package version is automatically genereated followd by a production release on format `YY.MM.DD`  
        We use [Calendar Versioning](https://calver.org). For version available, see the [tags on this repository](https://github.com/sktaiflow/mls-model-registry/releases).  
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
