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The SAS pipefitter package provides a Python API for developing pipelines for data transformation and model fitting as stages of a repeatable machine learning workflow in either SAS v9 or SAS Viya.
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README.rst

SAS Pipefitter

The SAS Pipefitter project provides a Python API for developing machine learning pipelines. The pipelines are built from stages that perform variable transformation, parameter estimation, and hyperparameter tuning.

A key feature of pipefitter is that the pipelines can run with a SAS 9.4 platform as well as with SAS Cloud Analytic Services (CAS) in the SAS Viya platform.

This package builds on the SASPy and SAS SWAT packages. Those packages enable Python to work with SAS 9.4 and SAS Viya, respectively.

Installation

SAS pipefitter can be installed as follows with pip:

pip install pipefitter

Alternatively, you can install a specific release as follows:

pip install https://github.com/sassoftware/python-pipefitter/releases/download/vX.X.X/pipefitter-X.X.X.tar.gz

Dependencies

The package is a pure Python package and works with Python 2.7 or 3.4+.

However, the packages that enable Python to work with the different SAS platforms introduce dependencies of their own.

Package SAS Platfom Python Support
SASPy 2.x SAS 9.4 or higher Python 3.x
SWAT v1.1.0+ SAS Viya Python 2.7 or 3.4+

Resources

Pipefitter documentation

SASPy

SAS SWAT for Python

Python

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