SPSS® Modeler on Cloud Pak for Data

Version: 4.5.3    Included    IBM

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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.

Quick links

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.