Hi Ted,
That makes some sense. I'll probably take a crack at it.
Marty
On 12/27/2012 12:14 AM, Ted Dunning wrote:
Marty,
That sounds like a reasonable idea. IF integrated, this would need to be a
separate module in any case so for now, it might be easiest for you to
simply develop this module independently so that you don't have to wait for
others to commit partial results.
On Wed, Dec 26, 2012 at 6:52 PM, Marty Kube <
martyk...@beavercreekconsulting.com> wrote:
I took a look at JPMML... At the bottom of it they have ran a JAXB
compiler on the PMML V4 schema to generate Java bindings. I didn't see a
lot of value add in JPMML beyond that.
I'd say just add the schema and bindings generation to Mahout. The value
add here is model mapping from the JAXB generated model into the Mahout
models.
On 12/20/2012 06:13 AM, Grant Ingersoll wrote:
From looking at PMML
(http://www.dmg.org/v4-1/**GeneralStructure.html<http://www.dmg.org/v4-1/GeneralStructure.html>),
it seems that JPMML is not going to really get us there if it only supports
the 4 models listed below. I would think we could go through the
structures supported in the link above and then map it to the Algorithms
that are supported. To start, perhaps it would make sense to focus on a
few like: clustering, naive bayes and perhaps SGD will fit into the
regression models. Perhaps try to get K-Means and Naive Bayes to work
first.
FTR, I can only imagine how bloated these files are going to get since
they use XML. Thankfully, they won't be used to power the internals, just
to support interoperability.
-Grant
On Dec 19, 2012, at 8:12 AM, Simon Vocella wrote:
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
<martykube@**beavercreekconsulting.com<martyk...@beavercreekconsulting.com>
Hi Grant,
I start with this is the project
https://github.com/voxsim/**mahout-pmml<https://github.com/voxsim/mahout-pmml>(I
pushed only the skeleton for now) with mahout and jpmml integration (
http://code.google.com/p/**jpmml/ <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<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/<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
------------------------------**--------------
Grant Ingersoll
http://www.lucidworks.com
