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,
See https://builds.apache.org/job/mahout-nightly/1093/
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Running org.apache.mahout.cf.taste.impl.recommender.svd.SVDRecommenderTest
Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.013 sec
Running
See
https://builds.apache.org/job/mahout-nightly/org.apache.mahout$mahout-core/1093/
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Tests run: 14, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.373 sec
Running org.apache.mahout.cf.taste.impl.common.BitSetTest
Tests
I am really sorry if it is trivial.
Why is that running the trainlogistic with different rates and passes give
me same auc and confusion matrix result on the test data. Although the time
of training increases with number of passes but seems to have no effect on
result. I can understand that rate
