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.
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
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+|
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size||File type||Python version||Upload date||Hashes|
|Filename, size pipefitter-1.0.0.tar.gz (58.9 kB)||File type Source||Python version None||Upload date||Hashes View hashes|