Tag: SASPy

Running CMS Risk Adjustment Models via API with SAS Analytics Pro (Viya) on Azure

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In this third article, we will introduce an alternative approach that surfaces the CMS-HCC Risk Adjustment Model execution through SASPy integration to a Flask application. We will demonstrate how this integration allows a user to score an individual patient/member on-demand, using inputs to an interactive web form to execute the model score code, surfacing the resulting score to the user.

Running CMS Risk Adjustment Models via API with SAS Analytics Pro (Viya) on Azure was published on SAS Users.

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Getting started using SASPy® and the SAS® kernel for Jupyter Notebook

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SASPy and the SAS kernel for Jupyter Notebook enable you to connect to SAS® 9.4 and the SAS® Viya® compute server from your client machine. You can then interact with SAS and SAS Viya via Python. If you are not familiar with SASPy and the SAS kernel, this article provides an introduction.

Getting started using SASPy® and the SAS® kernel for Jupyter Notebook was published on SAS Users.

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Machine Learning with SASPy: Exploring and Preparing your data – Part 3

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Parts 1 and 2 of this blog post discussed exploring and preparing your data using SASPy. To recap, Part 1 discussed how to explore data using the SASPy interface with Python. Part 2 continued with an explanation of how to prepare your data to use it with a machine-learning model. […]

Machine Learning with SASPy: Exploring and Preparing your data – Part 3 was published on SAS Users.

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Adding SAS® procedures to the SASPy interface to Python

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Bringing the power of SAS to your Python scripts can be a game changer. An easy way to do that is by using SASPy, a Python interface to SAS allowing Python developers to use SAS® procedures within Python. However, not all SAS procedures are included in the SASPy library. So, […]

Adding SAS® procedures to the SASPy interface to Python was published on SAS Users.

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Machine learning with SASPy: Exploring and preparing your data (part 2)

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This article continues a series that began with Machine learning with SASPy: Exploring and preparing your data (part 1). Part 1 showed you how to explore data using SASPy with Python. Here, in part 2, you will learn how to begin to prepare your data to use it within a […]

Machine learning with SASPy: Exploring and preparing your data (part 2) was published on SAS Users.

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Using Python to run jobs in your SAS Grid

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One of the features of SAS Grid Manager (and SAS Grid Manager for Platform) introduced in SAS 9.4 M6 is the capability for the grid provider software to handle open-source workloads in addition to traditional SAS jobs. In this post, we’ll take a look at the steps required to get your SAS Grid Manager environment set up to utilize this functionality, and we’ll demonstrate the process of submitting Python code for execution in the SAS Grid.

Using Python to run jobs in your SAS Grid was published on SAS Users.

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Machine learning with SASPy: Exploring and preparing your data (part 1)

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SASPy is a powerful Python library that interfaces with SAS and can help with your machine-learning solutions. SASPy was created for Python programmers to leverage the power of SAS within their Python scripts. If you are not familiar with SASPy, see the following resources: Introducing SASPy: Use Python code to […]

Machine learning with SASPy: Exploring and preparing your data (part 1) was published on SAS Users.

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