Thanks Fazlan for reporting this issue. This issue is due to the
improvements done in feature type (categorical/numerical) identification
algorithm.
In the above mentioned samples, wine-quality dataset [1] has been used.
According to the new algorithm, the response variable quality, is
identified as a categorical feature. As all these are numerical prediction
algorithms, and require a numerical variable as the response variable, this
exception[2] is thrown.
I've fixed it in [3]
[1] https://archive.ics.uci.edu/ml/datasets/Wine+Quality
[2] org.wso2.carbon.ml.core.exceptions.MLModelBuilderException: An error
occurred while building supervised machine learning model: Categorical
attribute quality cannot be used as the response variable of the Numerical
Prediction algorithm:
[3] https://github.com/wso2/product-ml/pull/228
Thanks.
On Wed, Aug 26, 2015 at 8:26 PM, Nirmal Fernando nir...@wso2.com wrote:
Thanks a lot Fazlan! @Mano please fix these issues on samples asap.
On Wed, Aug 26, 2015 at 7:13 PM, Fazlan Nazeem fazl...@wso2.com wrote:
Hi Nirmal,
I have run the samples with the latest build and some of the samples
cannot be successfully executed. Error messages for each failed sample is
same in the first glance, but I have included(the links) the stack trace
just in case if they are different.
*failed samples*
---default---
- lasso-regression http://pastie.org/10376887
- linear-regression http://pastie.org/10376932
--tuned--
- linear-regression http://pastie.org/10376981
- lasso-regression http://pastie.org/10376987
http://pastie.org/10376987
- ridge-regression http://pastie.org/10376992
I haven't tested the *logistic-regression-with-hdfs *sample yet (
because It needs a hadoop server running. Will do it)
--
Fazlan Nazeem
*Software Engineer*
*WSO2 Inc*
Mobile : +94772338839
%2B94%20%280%29%20773%20451194
fazl...@wso2.com
--
Thanks regards,
Nirmal
Team Lead - WSO2 Machine Learner
Associate Technical Lead - Data Technologies Team, WSO2 Inc.
Mobile: +94715779733
Blog: http://nirmalfdo.blogspot.com/
--
Manorama Perera
Software Engineer
WSO2, Inc.; http://wso2.com/
Mobile : +94716436216
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