SPSS Modeler

Description

With the SPSS Modeler service, data scientists can create flows to:

Discover, prepare, and blend data
Develop and manage models
Visualize the results

No coding is required.

You can use SPSS Modeler flows to build machine learning pipelines that you can use to iterate rapidly during the model building process. Whether you're trying to find the best algorithm or experimenting with different ways of preparing your data, you can create reproducible research that's easily understood by any member of your team.

With SPSS Modeler flows, you can quickly develop predictive models using business expertise to improve decision making. The flows interface is based on the long-established SPSS Modeler client software and uses industry-standard CRISP-DM methodology. The SPSS Modeler service supports the entire data mining process, from data exploration all the way to better business results.

Licensing information

This service is included in the following licenses:

IBM Cloud Pak® for Data Enterprise Edition
IBM Cloud Pak for Data Standard Edition
IBM® watsonx.ai™

For more information, see Licenses and entitlements.

Quick links

Install: Install the service
Upgrade: Upgrade the service
Use: Work with the service
What's new: See a list of new features

Integrated services

Table 1. Prerequisite services. This service requires the following prerequisite services to be installed.
Service	Capability
Watson Studio	Prepare, analyze, and model data in a collaborative environment with tools for data scientists, developers, and domain experts.

Table 2. Related services. The following related services are often used with this service and provide complementary features, but they are not required.
Service	Capability
Watson Machine Learning	Build, train, and deploy machine learning models with a full range of tools.