Using The findAll() Function Most SPSS Modeler scripts include code that locates an existing node e.g.: stream = modeler.script.stream() typenode = stream.findByType("type", None) However, some scripts need to search for all nodes – maybe by node type but also matching some other criteria. The Modeler scripting API documentation (PDF) mentions a findAll() function: d.findAll(filter, recursive):...
Some ranking algorithms could be too sophisticated to be actually understood by a layman's type of person. The reasoning to develop this particular piece of work was to not only rank specific type of datasets but be able to explain how the ranking is performed for the layman's type of person.
The Chinese version of SPSS Statistics Big Data University training is now available. We are launching our free training about statistical analysis technology and in this training you will learn the basic of IBM SPSS Statistics including programmability.
Announcing three new extensions for SPSS Modeler. These extensions create graphs that are fully interactive and can be shown in any web browser.
New extensions for SPSS Modeler using PySpark and MLlib algorithms. Now available on GitHub and the Extension Hub in Modeler 18: Gradient-Boosted Trees, K-Means Clustering, and Multinomial Naive Bayes.
Download the rCharts Basic Charts extension for SPSS Modeler. This extension uses the rCharts R package to easily create bar, line, and scatter plots ready for the web.
Today we are releasing a Modeler version 18. There a quite a number of important changes and improvements in this version. We have four groupings of changes – Big Data Algorithms in Modeler, changes that continue Extend and Embrace the Value of Open Source, Platform Flexibility and other changes.
In this article we'll look at the code used in a Modeler extension node which allow modeler streams to leverage Spark's Collaborative Filtering algorithm to build a simple recommender system.
We just released a new SPSS Modeler extension to read in delimited data from a URL. It's now possible to read in JSON and delimited data directly from the web to Modeler.
Today, we released a new SPSS Modeler extension that creates word clouds. If you are unfamiliar with word clouds, you have probably seen them one place or another as a way to visualize the most used words in a text dataset (corpus).