Predictive Analytics - Tools - PMML


In an attempt to provide a standard language for expressing predictive models, the Predictive Model Markup Language (PMML) has been proposed. Such an XML-based language provides a way for the different tools to define predictive models and to share these between PMML compliant applications. PMML 4.0 was released in June, 2009.

Read more about this topic:  Predictive Analytics, Tools

Other articles related to "pmml":

Predictive Model Markup Language - PMML 4.0 and 4.1
... The previous version of PMML, 4.0, was released on June 16, 2009 ... Saving of evaluation and model performance measures to the PMML file itself ... The latest version of PMML, 4.1, was released on December 31, 2011 ...
Predictive Model Markup Language - PMML Components
... PMML follows an intuitive structure to describe a data mining model, be it an artificial neural network or a logistic regression model ... it can be described by the following components Header contains general information about the PMML document, such as copyright information for the model, its description ... PMML defines several kinds of simple data transformations ...
Neural Network Software - Standards - PMML Consumers and Producers
... range of products are being offered to produce and consume PMML ... includes the following neural network products R produces PMML for neural nets and other machine learning models via the package pmml ... SAS Enterprise Miner produces PMML for several mining models, including neural networks, linear and logistic regression, decision trees, and other data mining models ...