See 
<https://builds.apache.org/job/OpenNLP_java8/org.apache.opennlp$opennlp-tools/115/changes>

Changes:

[tommaso] OPENNLP-777 - naive bayes classifier (patch from Cohan Sujay Carlos)

[joern] OPENNLP-799 

The NewlineSentenceDetector does not work because of a small comparison error.
The patch fixes the problem, and also adds a class with some tests.

Thanks to Gustavo Knuppe for providing a patch.

------------------------------------------
[...truncated 7534 lines...]
Done indexing.
Incorporating indexed data for training...  
done.
        Number of Event Tokens: 1493
            Number of Outcomes: 2
          Number of Predicates: 3564
...done.
Computing model parameters ...
Performing 100 iterations.
  1:  ... loglikelihood=-1147.1585838266672     0.8507552870090634
  2:  ... loglikelihood=-472.967500991906       0.9601208459214502
  3:  ... loglikelihood=-291.07723687760796     0.9848942598187311
  4:  ... loglikelihood=-206.26897413824335     0.9897280966767371
  5:  ... loglikelihood=-158.3922436217585      0.9903323262839879
  6:  ... loglikelihood=-128.24522995997793     0.9909365558912386
  7:  ... loglikelihood=-107.74217629199612     0.9909365558912386
  8:  ... loglikelihood=-92.97035107242277      0.9915407854984895
  9:  ... loglikelihood=-81.84501995931943      0.9933534743202417
 10:  ... loglikelihood=-73.16874284671613      0.9933534743202417
 11:  ... loglikelihood=-66.21090895123683      0.9939577039274925
 12:  ... loglikelihood=-60.50338961954675      0.9939577039274925
 13:  ... loglikelihood=-55.733845669524406     0.9939577039274925
 14:  ... loglikelihood=-51.68653772919517      0.9939577039274925
 15:  ... loglikelihood=-48.207847831607644     0.9939577039274925
 16:  ... loglikelihood=-45.18539821693645      0.9945619335347432
 17:  ... loglikelihood=-42.53498749725327      0.9945619335347432
 18:  ... loglikelihood=-40.19217936680927      0.9945619335347432
 19:  ... loglikelihood=-38.10674165383808      0.9945619335347432
 20:  ... loglikelihood=-36.23887732676898      0.9945619335347432
 21:  ... loglikelihood=-34.55660952475116      0.9945619335347432
 22:  ... loglikelihood=-33.03392703100277      0.9945619335347432
 23:  ... loglikelihood=-31.649442000456848     0.9945619335347432
 24:  ... loglikelihood=-30.385400121524597     0.9945619335347432
 25:  ... loglikelihood=-29.226938178083326     0.9945619335347432
 26:  ... loglikelihood=-28.161518597897903     0.9951661631419939
 27:  ... loglikelihood=-27.17849286226126      0.9951661631419939
 28:  ... loglikelihood=-26.268760267607313     0.9969788519637462
 29:  ... loglikelihood=-25.42449829026183      0.997583081570997
 30:  ... loglikelihood=-24.63894744084868      0.997583081570997
 31:  ... loglikelihood=-23.906238084701968     0.997583081570997
 32:  ... loglikelihood=-23.221249932839708     0.997583081570997
 33:  ... loglikelihood=-22.579497214621284     0.9981873111782478
 34:  ... loglikelihood=-21.97703421569259      0.9981873111782478
 35:  ... loglikelihood=-21.41037709412822      0.9981873111782478
 36:  ... loglikelihood=-20.876438802575137     0.9981873111782478
 37:  ... loglikelihood=-20.37247463286615      0.9987915407854985
 38:  ... loglikelihood=-19.896036423328383     0.9987915407854985
 39:  ... loglikelihood=-19.444933871098907     0.9987915407854985
 40:  ... loglikelihood=-19.0172017030897       0.9987915407854985
 41:  ... loglikelihood=-18.6110717021854       0.9987915407854985
 42:  ... loglikelihood=-18.22494877620019      0.9987915407854985
 43:  ... loglikelihood=-17.85739040818644      0.9987915407854985
 44:  ... loglikelihood=-17.507088946936864     0.9987915407854985
 45:  ... loglikelihood=-17.172856292797512     0.9987915407854985
 46:  ... loglikelihood=-16.85361061139514      0.9987915407854985
 47:  ... loglikelihood=-16.548364770570913     0.9987915407854985
 48:  ... loglikelihood=-16.256216246763078     0.9987915407854985
 49:  ... loglikelihood=-15.976338288690007     0.9987915407854985
 50:  ... loglikelihood=-15.707972160299303     0.9987915407854985
 51:  ... loglikelihood=-15.45042031304788      0.9987915407854985
 52:  ... loglikelihood=-15.203040360799628     0.9987915407854985
 53:  ... loglikelihood=-14.965239749903033     0.9987915407854985
 54:  ... loglikelihood=-14.736471033061646     0.9987915407854985
 55:  ... loglikelihood=-14.516227669024024     0.9987915407854985
 56:  ... loglikelihood=-14.304040281369872     0.9987915407854985
 57:  ... loglikelihood=-14.099473319130976     0.9987915407854985
 58:  ... loglikelihood=-13.902122069972096     0.9987915407854985
 59:  ... loglikelihood=-13.711609983415938     0.9987915407854985
 60:  ... loglikelihood=-13.52758626733365      0.9987915407854985
 61:  ... loglikelihood=-13.349723725807632     0.9987915407854985
 62:  ... loglikelihood=-13.177716810642115     0.9987915407854985
 63:  ... loglikelihood=-13.011279862365202     0.9987915407854985
 64:  ... loglikelihood=-12.850145519627702     0.9987915407854985
 65:  ... loglikelihood=-12.694063278537318     0.9987915407854985
 66:  ... loglikelihood=-12.542798185737231     0.9987915407854985
 67:  ... loglikelihood=-12.396129650999749     0.9987915407854985
 68:  ... loglikelihood=-12.253850366805954     0.9987915407854985
 69:  ... loglikelihood=-12.11576532385566      0.9987915407854985
 70:  ... loglikelihood=-11.981690912737507     0.9987915407854985
 71:  ... loglikelihood=-11.851454103104592     0.9987915407854985
 72:  ... loglikelihood=-11.724891692680847     0.9987915407854985
 73:  ... loglikelihood=-11.601849619275114     0.9987915407854985
 74:  ... loglikelihood=-11.482182329732385     0.9987915407854985
 75:  ... loglikelihood=-11.365752200407057     0.9987915407854985
 76:  ... loglikelihood=-11.2524290043248       0.9987915407854985
 77:  ... loglikelihood=-11.142089420708611     0.9987915407854985
 78:  ... loglikelihood=-11.034616582996058     0.9987915407854985
 79:  ... loglikelihood=-10.929899661873668     0.9987915407854985
 80:  ... loglikelihood=-10.827833480207184     0.9987915407854985
 81:  ... loglikelihood=-10.728318157060322     0.9987915407854985
 82:  ... loglikelihood=-10.631258778272858     0.9987915407854985
 83:  ... loglikelihood=-10.536565091316653     0.9987915407854985
 84:  ... loglikelihood=-10.444151222369774     0.9987915407854985
 85:  ... loglikelihood=-10.353935413745008     0.9987915407854985
 86:  ... loglikelihood=-10.265839779986413     0.9987915407854985
 87:  ... loglikelihood=-10.179790081104313     0.9987915407854985
 88:  ... loglikelihood=-10.095715511561208     0.9987915407854985
 89:  ... loglikelihood=-10.013548503747355     0.9987915407854985
 90:  ... loglikelihood=-9.933224544799275      0.9987915407854985
 91:  ... loglikelihood=-9.854682005716311      0.9987915407854985
 92:  ... loglikelihood=-9.777861981823415      0.9987915407854985
 93:  ... loglikelihood=-9.70270814371098       0.9987915407854985
 94:  ... loglikelihood=-9.629166597858127      0.9987915407854985
 95:  ... loglikelihood=-9.557185756213398      0.9987915407854985
 96:  ... loglikelihood=-9.486716214069075      0.9987915407854985
 97:  ... loglikelihood=-9.417710635619596      0.9987915407854985
 98:  ... loglikelihood=-9.350123646646741      0.9987915407854985
 99:  ... loglikelihood=-9.283911733818757      0.9987915407854985
100:  ... loglikelihood=-9.219033150132912      0.9987915407854985
Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.388 sec - in 
opennlp.tools.tokenize.TokenizerMETest
Running opennlp.tools.tokenize.TokSpanEventStreamTest
Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0 sec - in 
opennlp.tools.tokenize.TokSpanEventStreamTest
Running opennlp.tools.tokenize.DictionaryDetokenizerTest
Tests run: 3, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.003 sec - in 
opennlp.tools.tokenize.DictionaryDetokenizerTest
Running opennlp.tools.tokenize.TokenizerModelTest
Indexing events using cutoff of 0

        Computing event counts...  done. 9 events
        Indexing...  done.
Sorting and merging events... done. Reduced 9 events to 9.
Done indexing.
Incorporating indexed data for training...  
done.
        Number of Event Tokens: 9
            Number of Outcomes: 2
          Number of Predicates: 60
...done.
Computing model parameters ...
Performing 100 iterations.
  1:  ... loglikelihood=-6.238324625039508      0.6666666666666666
  2:  ... loglikelihood=-4.267390099971502      1.0
  3:  ... loglikelihood=-3.2418789317069647     1.0
  4:  ... loglikelihood=-2.6098065824093446     1.0
  5:  ... loglikelihood=-2.181429732130584      1.0
  6:  ... loglikelihood=-1.872334360148705      1.0
  7:  ... loglikelihood=-1.6390415672400755     1.0
  8:  ... loglikelihood=-1.4568638470768123     1.0
  9:  ... loglikelihood=-1.3107519597433812     1.0
 10:  ... loglikelihood=-1.191017196220442      1.0
 11:  ... loglikelihood=-1.0911445131976356     1.0
 12:  ... loglikelihood=-1.0065942255608578     1.0
 13:  ... loglikelihood=-0.9341077561309318     1.0
 14:  ... loglikelihood=-0.8712865048909157     1.0
 15:  ... loglikelihood=-0.8163263298695127     1.0
 16:  ... loglikelihood=-0.7678445247739041     1.0
 17:  ... loglikelihood=-0.724763808132552      1.0
 18:  ... loglikelihood=-0.6862325748265687     1.0
 19:  ... loglikelihood=-0.6515688567637903     1.0
 20:  ... loglikelihood=-0.6202201672253774     1.0
 21:  ... loglikelihood=-0.5917342195885426     1.0
 22:  ... loglikelihood=-0.565737237090749      1.0
 23:  ... loglikelihood=-0.5419176553733099     1.0
 24:  ... loglikelihood=-0.5200137175054115     1.0
 25:  ... loglikelihood=-0.4998039195471357     1.0
 26:  ... loglikelihood=-0.4810995714417062     1.0
 27:  ... loglikelihood=-0.46373894685403827    1.0
 28:  ... loglikelihood=-0.4475826400064324     1.0
 29:  ... loglikelihood=-0.432509848920957      1.0
 30:  ... loglikelihood=-0.4184153765692203     1.0
 31:  ... loglikelihood=-0.4052071933464748     1.0
 32:  ... loglikelihood=-0.39280444210887405    1.0
 33:  ... loglikelihood=-0.3811357948648633     1.0
 34:  ... loglikelihood=-0.37013809092929856    1.0
 35:  ... loglikelihood=-0.3597552019054489     1.0
 36:  ... loglikelihood=-0.34993708064463436    1.0
 37:  ... loglikelihood=-0.34063896033509855    1.0
 38:  ... loglikelihood=-0.33182067680170807    1.0
 39:  ... loglikelihood=-0.3234460924726966     1.0
 40:  ... loglikelihood=-0.31548260466707856    1.0
 41:  ... loglikelihood=-0.30790072415618486    1.0
 42:  ... loglikelihood=-0.3006737125631292     1.0
 43:  ... loglikelihood=-0.2937772692413833     1.0
 44:  ... loglikelihood=-0.2871892599360768     1.0
 45:  ... loglikelihood=-0.2808894808692854     1.0
 46:  ... loglikelihood=-0.27485945297234643    1.0
 47:  ... loglikelihood=-0.26908224186739715    1.0
 48:  ... loglikelihood=-0.2635422999181489     1.0
 49:  ... loglikelihood=-0.25822532725861264    1.0
 50:  ... loglikelihood=-0.2531181491933867     1.0
 51:  ... loglikelihood=-0.248208607764115      1.0
 52:  ... loglikelihood=-0.24348546560965584    1.0
 53:  ... loglikelihood=-0.2389383205249888     1.0
 54:  ... loglikelihood=-0.23455752935593194    1.0
 55:  ... loglikelihood=-0.23033414006154845    1.0
 56:  ... loglikelihood=-0.22625983094012614    1.0
 57:  ... loglikelihood=-0.2223268561531997     1.0
 58:  ... loglikelihood=-0.21852799679951024    1.0
 59:  ... loglikelihood=-0.21485651689062477    1.0
 60:  ... loglikelihood=-0.21130612366500146    1.0
 61:  ... loglikelihood=-0.20787093175003185    1.0
 62:  ... loglikelihood=-0.20454543074392073    1.0
 63:  ... loglikelihood=-0.20132445584283049    1.0
 64:  ... loglikelihood=-0.19820316118486242    1.0
 65:  ... loglikelihood=-0.19517699562229196    1.0
 66:  ... loglikelihood=-0.1922416806679774     1.0
 67:  ... loglikelihood=-0.18939319039177877    1.0
 68:  ... loglikelihood=-0.18662773306883887    1.0
 69:  ... loglikelihood=-0.18394173440426667    1.0
 70:  ... loglikelihood=-0.18133182217853244    1.0
 71:  ... loglikelihood=-0.17879481217523166    1.0
 72:  ... loglikelihood=-0.1763276952680289     1.0
 73:  ... loglikelihood=-0.17392762555694571    1.0
 74:  ... loglikelihood=-0.17159190945588323    1.0
 75:  ... loglikelihood=-0.16931799564360095    1.0
 76:  ... loglikelihood=-0.1671034657995311     1.0
 77:  ... loglikelihood=-0.16494602605384556    1.0
 78:  ... loglikelihood=-0.16284349908838996    1.0
 79:  ... loglikelihood=-0.1607938168314145     1.0
 80:  ... loglikelihood=-0.15879501369470103    1.0
 81:  ... loglikelihood=-0.15684522030668507    1.0
 82:  ... loglikelihood=-0.15494265769967447    1.0
 83:  ... loglikelihood=-0.1530856319132385     1.0
 84:  ... loglikelihood=-0.15127252897944293    1.0
 85:  ... loglikelihood=-0.149501810258773      1.0
 86:  ... loglikelihood=-0.1477720080984901     1.0
 87:  ... loglikelihood=-0.1460817217877075     1.0
 88:  ... loglikelihood=-0.14442961378581715    1.0
 89:  ... loglikelihood=-0.14281440620295088    1.0
 90:  ... loglikelihood=-0.14123487751306105    1.0
 91:  ... loglikelihood=-0.1396898594818759     1.0
 92:  ... loglikelihood=-0.13817823429353202    1.0
 93:  ... loglikelihood=-0.13669893186105736    1.0
 94:  ... loglikelihood=-0.13525092730712387    1.0
 95:  ... loglikelihood=-0.13383323860263727    1.0
 96:  ... loglikelihood=-0.13244492435174648    1.0
 97:  ... loglikelihood=-0.13108508171279148    1.0
 98:  ... loglikelihood=-0.12975284444556362    1.0
 99:  ... loglikelihood=-0.12844738107601078    1.0
100:  ... loglikelihood=-0.12716789317023386    1.0
Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.089 sec - in 
opennlp.tools.tokenize.TokenizerModelTest
Running opennlp.tools.stemmer.PorterStemmerTest
Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.002 sec - in 
opennlp.tools.stemmer.PorterStemmerTest

Results :

Tests run: 394, Failures: 0, Errors: 0, Skipped: 1

[JENKINS] Recording test results
log4j:WARN No appenders could be found for logger 
(org.apache.commons.beanutils.converters.BooleanConverter).
log4j:WARN Please initialize the log4j system properly.
[INFO] 
[INFO] --- maven-bundle-plugin:2.3.4:bundle (default-bundle) @ opennlp-tools ---
[INFO] 
[INFO] --- maven-site-plugin:3.4:attach-descriptor (attach-descriptor) @ 
opennlp-tools ---
[INFO] 
[INFO] --- maven-javadoc-plugin:2.9.1:jar (create-javadoc-jar) @ opennlp-tools 
---
[INFO] 
3 errors
100 warnings

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