Nothing
pmml: Generate PMML for Various Models
The Predictive Model Markup Language (PMML) is an XML-based language which provides a way for applications to define machine learning, statistical and data mining models and to share models between PMML compliant applications. More information about the PMML industry standard and the Data Mining Group can be found at <https://dmg.org/>. The generated PMML can be imported into any PMML consuming application, such as Zementis Predictive Analytics products.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Michael Hahsler [aut, cre], Bruno Rodrigues [aut], Dmitriy Bolotov [aut], Tridivesh Jena [aut], Graham Williams [aut], Wen-Ching Lin [aut], Hemant Ishwaran [aut], Udaya B. Kogalur [aut], Rajarshi Guha [aut], Software AG [cph] |
| Maintainer | Michael Hahsler <mhahsler@lyle.smu.edu> |
| License | GPL-3 | file LICENSE |
| Version | 2.6.0 |
| URL | https://github.com/mhahsler/r-pmml |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the pmml package in your browser
Any scripts or data that you put into this service are public.
