Friday, August 31, 2012

Zementis is proud to announce PMML 4.1 support

PMML 4.1, the latest version of the Predictive Model Markup Language, is loaded with new and powerful features. 

Zementis is proud to announce support for PMML 4.1 throughout its scoring products, including:

We have also updated the PMML conversion process so that it now converts PMML files from older versions to version 4.1. The conversion process is part of ADAPA and UPPI and is responsible for converting, correcting, and validating PMML files when these are uploaded for scoring.  
  


Our support for PMML 4.1 includes:

1) Scorecards (including reason or adverse codes and point allocation for complex attributes)

2) Post-processing: you can now transform scores into business decisions as well as output generic data manipulation steps

3) Multiple Models: a powerful and yet simpler way for the expression of model segmentation, composition, chaining and ensemble, which includes Random Forest models

4) Is the model scorable? The "isScorable" flag was added as a way to flag models not destined for production deployment, but that are nonetheless an important part of the model building cycle

5) New built-in functions (for pre- and post-processing).

With this new release and version update, ADAPA and UPPI can be used not only for deployment and execution of predictive solutions, but also for data analysis and processing before model training.
  
If you have any questions about PMML 4.1 and all the features supported in our products, please make sure to contact us or feel free to check out our PMML 4.1 forum for detailed support information.

Thursday, August 23, 2012

Predicting the future ... in four parts

I recently finished writing a four-part article series about predictive analytics entitled Predicting the Future. The topic is near and dear to my heart, since I have been working on the field since my undergrad years back in Brazil (more than 20 years ago). And, lately, through my work with PMML, the Predictive Model Markup Language.

The four articles have just been published by IBM in their entirety in the developerWorks website together with a video in which I introduce each article.


The article themselves can be found here:
  1. Predicting the future, Part 1: What is predictive analytics?
  2. Predicting the future, Part 2: Predictive modeling techniques
  3. Predicting the future, Part 3: Create a predictive solution
  4. Predicting the future, Part 4: Put a predictive solution to work
And, if you are interested in learning about open-standards and predictive analytics, I would also recommend the following articles:

Enjoy!





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