TrainLanguageModel

ElementMissed InstructionsCov.Missed BranchesCov.MissedCxtyMissedLinesMissedMethods
Total3,176 of 3,1760%205 of 2050%1381386386383030
main(String[])1,0930%630%383822922911
runEval(CharSoupModel, Path, String)4750%220%1212626211
createEpochFile(Path, Path, Map, int)3350%280%1515797911
evaluateQuantized(CharSoupModel, List)2840%280%1515535311
printConfusion(CharSoupModel, List, String, int)2620%180%1010575711
computePerLangTargets(Map, long)1410%60%44303011
filterPool(Phase2Trainer, Path, Path)1230%80%55282811
lambda$filterPool$8(Path, Path, Phase2Trainer, AtomicLong, AtomicLong, AtomicLong, int)1150%40%33333311
scanPoolSizes(Path)480%60%44141411
truncateTestData(List, int)430%60%44111111
readPreprocessedFile(Path)380%40%33111111
collectLabels(Path)370%40%33101011
lambda$printConfusion$11(int, Map.Entry)320%n/a113311
argmax(float[])220%40%335511
lambda$printConfusion$13(Map.Entry)180%n/a112211
lambda$computePerLangTargets$6(Map, long, String, Long)110%n/a112211
lambda$computePerLangTargets$2(Map, String, Long)110%n/a112211
printUsage()100%n/a114411
lambda$printConfusion$12(Map.Entry, Map.Entry)100%n/a111111
lambda$printConfusion$10(Map.Entry, Map.Entry)100%n/a111111
lambda$printConfusion$9(String, Map.Entry)100%20%221111
lambda$computePerLangTargets$5(long, Long)0%20%221111
elapsed(long)0%n/a111111
lambda$main$1(Path, Path, Map, int)0%n/a111111
lambda$main$0(Path, Path, Map, int)0%n/a111111
lambda$computePerLangTargets$4(long, Long)0%n/a111111
lambda$computePerLangTargets$3(long, Long)0%n/a111111
lambda$filterPool$7(Path)0%n/a111111
TrainLanguageModel()0%n/a111111
lambda$evaluateQuantized$14(TrainLanguageModel.LangF1)0%n/a111111