You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I wanted to know if the library has support to provide custom edit penalties. For example, specify edit distance for replacement "1" -> "l" to be different from "1" -> "A", etc.
Alberto.
The text was updated successfully, but these errors were encountered:
I don't believe so. If interested in small edit distances though, you may, depending on your scenario and data, accomplish the same effect by doing some math projecting to a max intended ordinary edit distance to use with this library, then proceeding to performing your nuanced weights/penalty scheme on the cohort that remains after using this library with your chosen first distance value.
I doubt you'd currently find any implementation that does, but this is an interesting project idea.
I don't believe so. If interested in small edit distances though, you may, depending on your scenario and data, accomplish the same effect by doing some math projecting to a max intended ordinary edit distance to use with this library, then proceeding to performing your nuanced weights/penalty scheme on the cohort that remains after using this library with your chosen first distance value.
I doubt you'd currently find any implementation that does, but this is an interesting project idea.
Interesting idea but assuming some substitutions could be made at low or zero cost, it would be difficult to estimate a correct 'max intended ordinary edit distance' in advance.
Hello,
I wanted to know if the library has support to provide custom edit penalties. For example, specify edit distance for replacement "1" -> "l" to be different from "1" -> "A", etc.
Alberto.
The text was updated successfully, but these errors were encountered: