Metadata-Version: 1.0
Name: sparkml-pipe
Version: 0.2.2
Summary: A configurable PySpark pipeline library.
Home-page: https://bitbucket.org/xtechai/sparkml-pipe
Author: Michi Tech
Author-email: parkerzf@gmail.com
License: BSD
Description-Content-Type: text/markdown
Description: # Configurable PySpark Pipeline
        _A configurable PySpark pipeline library._
        
        ## Getting Started
        * Requirements: 
            * Python 3.5
        * install the package using pip:
        
        ``` bash
        $ pip install sparkml-pipe
        ```
        
        ## Project Organization
        ```
        ├── README.md          <- The top-level README for developers using this project.
        ├── data               <- Data for testing the library.
        │
        ├── docs               <- A default Sphinx project; see sphinx-doc.org for details
        │
        ├── requirements.txt   <- The requirements file for reproducing the analysis environment, e.g.
        │                         generated with `pip freeze > requirements.txt`
        │
        ├── sparkmlpip         <- Source code for use in this project.
        │   ├── conf           <- YAML config files for pyspark pipeline.
        │   │
        │   ├── pipeline       <- pyspark model pipelines.
        │   │
        │   ├── stat           <- pyspark stat pipelines.
        │   │
        │   ├── test           <- test code.
        │   │
        │   └── utils          <- util functions.
        │
        └── setup.py           <- Metadata about your project for easy distribution.
        ```
        
        
        
        ## Contributing
        ### checkout the codebase
        ``` bash
        $ git checkout develop
        ```
        ### Update the PyPI version
        * Update sparkmlpipe/\_\_version\_\_.py if needed
        * Upload to PyPI
        ``` bash
        $ python setup.py sdist
        $ pip install twine
        // upload to Test PyPI
        $ twine upload --repository-url https://test.pypi.org/legacy/ dist/*
        // upload to PyPI
        $ twine upload dist/*
        ```
        ### Installing development requirements
        ``` bash
        $ pip install -r requirements.txt
        ```
Platform: Linux
