SPSS Modeler is a robust data science software for professional analysts and data scientists. The software scales from supporting line-of-business predictive analysis to enterprise-scale […]
What’s new in IBM SPSS Modeler 18.3? Read More »
What is unstructured data? The data you have access to within your organisation can be broadly sorted into two categories:
Using text analytics to get value from unstructured data Read More »
IBM SPSS Modeler supports Python scripting using Jython, a Java[tm] implementation of the Python language. Modeler versions 16 and 17 use
Adding New Modules To Jython Scripting In IBM SPSS Modeler Read More »
Most SPSS Modeler scripts include code that locates an existing node e.g.: stream = modeler.script.stream() typenode = stream.findByType(“type”, None) However,
Using the find all() Function to search for nodes Read More »
There are a number of configuration settings associated with IBM SPSS Modeler Server that control its behaviour. The default settings
Using SPSS Modeler’s cache_compression setting to speed up your modelling Read More »
The Regular Expressions for IBM SPSS Modeler node pack provides 4 nodes that integrate the power and flexibility of regular
Regular Expressions for IBM SPSS Modeler: performance comparison Read More »
We often talk to people who are unsure whether they need SPSS Statistics or whether SPSS Modeler might be more
Do I need SPSS Statistics or Modeler? How to choose the right product for your needs Read More »
This post describes how to use Python scripts to create and modify Modeler supernodes, and control the execution of the
Supernode scripting in SPSS Modeler Read More »
In my last post I gave a brief overview of the new Python-based scripting available in Modeler 16. In this
Writing a standalone Python script for Modeler Read More »
Modeler scripts are used to automate the creation of streams, construction and configuration of nodes, stream execution and managing the
An overview of Python scripting in Modeler 16 Read More »