| analyzeBigrams(byte[], int, int) |  | 0% | | 0% | 7 | 7 | 20 | 20 | 1 | 1 |
| NaiveBayesBigramEncodingDetector(InputStream) |  | 82% | | 67% | 10 | 18 | 10 | 75 | 0 | 1 |
| readProbe(TikaInputStream) | | 0% | | 0% | 2 | 2 | 9 | 9 | 1 | 1 |
| scoreClasses(byte[]) | | 0% | | 0% | 2 | 2 | 2 | 2 | 1 | 1 |
| toJavaCharsetName(String) | | 69% | | 55% | 4 | 9 | 4 | 10 | 0 | 1 |
| NaiveBayesBigramEncodingDetector(Path) | | 0% | | n/a | 1 | 1 | 2 | 2 | 1 | 1 |
| detect(TikaInputStream, Metadata, ParseContext) | | 0% | | n/a | 1 | 1 | 1 | 1 | 1 | 1 |
| getLabels() | | 0% | | n/a | 1 | 1 | 1 | 1 | 1 | 1 |
| getCharsets() | | 0% | | n/a | 1 | 1 | 1 | 1 | 1 | 1 |
| getLabel(int) | | 0% | | n/a | 1 | 1 | 1 | 1 | 1 | 1 |
| emitCandidates(double[], int) | | 97% | | 87% | 3 | 13 | 3 | 35 | 0 | 1 |
| getNumClasses() | | 0% | | n/a | 1 | 1 | 1 | 1 | 1 | 1 |
| scoreClassesAndCount(byte[]) | | 100% | | 96% | 2 | 32 | 0 | 70 | 0 | 1 |
| buildCohortTable() | | 100% | | 100% | 0 | 5 | 0 | 15 | 0 | 1 |
| isWhitespace(int) | | 100% | | 100% | 0 | 7 | 0 | 1 | 0 | 1 |
| isOffendingAscii(int) | | 100% | | 100% | 0 | 6 | 0 | 1 | 0 | 1 |
| detect(byte[]) | | 100% | | 100% | 0 | 2 | 0 | 4 | 0 | 1 |
| static {...} | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |