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From helenahm <...@git.apache.org>
Subject [GitHub] incubator-hivemall issue #93: [WIP][HIVEMALL-126] Maximum Entropy Model usin...
Date Mon, 24 Jul 2017 11:17:50 GMT
Github user helenahm commented on the issue:

    https://github.com/apache/incubator-hivemall/pull/93
  
    I have also looked at the resulting models last week. Formally, I added only one extra
test to tests: hivemall.opennlp.tools.MaxEntPredictUDFTest.java. 
    
    /**
         * Compare MaxEntropy in HiveMall with that of OpenNLP 3.0.0
         */
        @Test
        public void testResemblenceToOpenNLP() throws Exception {
    }
    
    The code inside the test gets access to internal model representation and compares feature
weights. 
    
    Using similar code I have looked at the feature weights in 3 models that were relevant
for my dataset. All the models look reasonable, that is, key class features get high weights,
and models predict what they should. One of the models is an aggregated model (aggregated
from the 302 I have got from mappers). This one looks reasonable too.   


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