Comments (4)
Ok, I had to go back to normalizing Partial/TokenSort/TokenSet, otherwise the package becomes too complicated for me.
I have added tests for your examples in 0.7.2
from stringdistances.jl.
Ok, but this is a breaking change; I've updated my code + compat for 0.7 but I'll have to pin that release then to avoid hitting the normalized methods (at least until I can update again..).
By the way, I think normalize
for Partial
would be easy enough (just divide by the length of the smaller string), but I haven't looked at the others yet.
from stringdistances.jl.
Ok, then the new version is 0.8. The difficulty is not really about normalizing Partial, it's more about what to do with max_dist, which is not available for all distances. Normalizing
a distance always gives a default max_dist = 1.0
, which makes it simpler.
from stringdistances.jl.
Ok, 0.8 sounds good, thanks. That makes sense regarding max_dist
, thanks for explaining.
from stringdistances.jl.
Related Issues (20)
- Phonetic distance HOT 1
- Tag a new version HOT 1
- `Base.findmin(s1, s2, dist::Partial)`
- bug in `DamerauLevenshtein` HOT 9
- DamerauLevenshtein() vs Levenshtein() why the same distance ? HOT 1
- Speeding up qgram distances with pre-counting of qgrams HOT 9
- (Partial) Hamming distance HOT 5
- TagBot trigger issue HOT 5
- Simpler QGramDistances implementation and prep for general dictionaries and iterators HOT 5
- `Partial` only looks at substrings of the same length... HOT 1
- pairwise not working with StringDistances HOT 3
- unexpected behavior when computing distance with an array HOT 2
- Non-strings HOT 4
- The value of "compare" is probably wrong. HOT 1
- Feature Request: Parallel processing HOT 4
- incremental compilation may be fatally broken for this module HOT 5
- Julia v1.7 Jaro() doesn't work HOT 2
- incomplete readme documentation HOT 1
- NaN (or ArgumentError) from QGram distances for short strings HOT 4
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from stringdistances.jl.