| predictLanguages(CharSequence) |  | 0% | | 0% | 9 | 9 | 29 | 29 | 1 | 1 |
| seenEnough(LinkedList, Language[], Map) | | 0% | | 0% | 9 | 9 | 24 | 24 | 1 | 1 |
| predict(Map) | | 0% | | 0% | 3 | 3 | 14 | 14 | 1 | 1 |
| chunk(CharSequence, int, int) | | 0% | | 0% | 3 | 3 | 6 | 6 | 1 | 1 |
| getSupportedLanguages() | | 0% | | 0% | 2 | 2 | 5 | 5 | 1 | 1 |
| ProbingLanguageDetector(LanguageDetectorModel, CharSequenceNormalizer[]) | | 0% | | n/a | 1 | 1 | 8 | 8 | 1 | 1 |
| setMinDiff(double) | | 0% | | 0% | 2 | 2 | 4 | 4 | 1 | 1 |
| predictLanguage(CharSequence) | | 0% | | n/a | 1 | 1 | 1 | 1 | 1 | 1 |
| lambda$predict$0(Language, Language) | | 0% | | n/a | 1 | 1 | 1 | 1 | 1 | 1 |
| setChunkSize(int) | | 0% | | n/a | 1 | 1 | 2 | 2 | 1 | 1 |
| setMinConsecImprovements(int) | | 0% | | n/a | 1 | 1 | 2 | 2 | 1 | 1 |
| setMaxLength(int) | | 0% | | n/a | 1 | 1 | 2 | 2 | 1 | 1 |
| setNormalizer(CharSequenceNormalizer) | | 0% | | n/a | 1 | 1 | 2 | 2 | 1 | 1 |
| getChunkSize() | | 0% | | n/a | 1 | 1 | 1 | 1 | 1 | 1 |
| getMinConsecImprovements() | | 0% | | n/a | 1 | 1 | 1 | 1 | 1 | 1 |
| getMinDiff() | | 0% | | n/a | 1 | 1 | 1 | 1 | 1 | 1 |
| getMaxLength() | | 0% | | n/a | 1 | 1 | 1 | 1 | 1 | 1 |