Hi All, as Grant suggested, I forward the email about mahout-pmml. I already tried jpmml standalone and works fine for me, the next important point is to understand or maybe create some example for each model described before:
- NeuralNetwork - RandomForest (implemented via Segmentation, which is a PMML version 4.0 feature) - RegressionModel - TreeModel with only Mahout and next step create a convertor to create object from jpmml to Mahout. This is related only to import the object and for me the export object is more similar to these. Do you agree? Are you interested in this models? Or Mahout focus on another one? regards, Simon ---------- Forwarded message ---------- From: Simon Vocella <vox...@gmail.com> Date: Mon, Dec 17, 2012 at 1:50 AM Subject: mahout-pmml To: Grant Ingersoll <gsing...@apache.org> Cc: Marty Kube <martyk...@beavercreekconsulting.com> Hi Grant, I start with this is the project https://github.com/voxsim/mahout-pmml (I pushed only the skeleton for now) with mahout and jpmml integration ( http://code.google.com/p/jpmml/) I read the wiki about weka convertor https://cwiki.apache.org/MAHOUT/creating-vectors-from-wekas-arff-format.html And I read the integration with Lucene http://searchhub.org/2010/03/16/integrating-apache-mahout-with-apache-lucene-and-solr-part-i-of-3/ In theory we need to do more similar to these parts, but different, we don't transfrom vector but model, Do i understand correctly? I'll request directly to you because you have in mind this idea and for now jpmml support this models - NeuralNetwork - RandomForest (implemented via Segmentation, which is a PMML version 4.0 feature) - RegressionModel - TreeModel Are you interested in this models? Or Mahout focus on another one? Simon PS Marty before to start I need some answers sorry XD
