PMML (Predictive Model Markup Language) is the de facto standard used to represent and share predictive analytic solutions between applications. This enables data mining scientists and users alike to easily build, visualize, and deploy their solutions using different platforms and systems. This book presents PMML from a practical perspective. It contains a variety of code snippets so that concepts are made clear through the use of examples. "PMML in Action" is a great way to learn how to represent your predictive models through a mature open standard. The book is divided into six parts, taking you into a PMML journey in which language elements and attributes are used to represent not only modeling techniques but also data transformations. With PMML, users benefit from a single and concise standard to represent data and models, thus avoiding the need for custom code and proprietary solutions. You too can join the PMML movement! Unleash the power of predictive analytics and data mining today!
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1 of 1 people found the following review helpful
By Bella
Format:Paperback|Amazon Verified Purchase
I am in the field of predictive analytics but I had never used PMML so I though of buying this book to get familiar with this popular open standard. Overall I liked this book very much. It has a comprehensive review of how a predictive model is structured in PMML, very useful to both users familiar with predictive analytics models in other languages and users new to the field. The book is a great reference for all things PMML and contains lots of useful hands-on PMML code examples that are explained in detail in the text. I like the way it clearly parses the PMML code to deploy a predictive model into elements and describes the attributes that are defined inside each element. I found very useful that the index also lists the language attributes per element. The book is well motivated starting with a nice discussion on how PMML fits on the big picture. I recommend it to scientists or analysts who want to convert existing applications into PMML as well as to new players in the analytics arena that want to experiment with this flexible open deployment language.
1 of 1 people found the following review helpful
By kalten
Format:Paperback|Amazon Verified Purchase
The book is a good complement to the PMML 4.0 documentation on the [...] website, if your task involves learning as much as possible about a given aspect of PMML. Otherwise, there is not much more than in the publicly available documentation and the information is not made more accessible either.
Do not get confused by the number of pages - the book is printed in something like double spacing and most of the space is occupied by uncommented XML listings.
Do not get confused by the number of pages - the book is printed in something like double spacing and most of the space is occupied by uncommented XML listings.
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