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Predefined available similarities

Usage

available_similarities()

Value

A list of predefined available similarities.

Examples

available_similarities()
#> $damerau_levenshtein
#> <cyfunction normalized_similarity at 0x7f30f43a8d40>
#>  signature: (s1, s2, *, processor=None, score_cutoff=None)
#> 
#> $discrete
#> <function discrete at 0x7f30f4351750>
#>  signature: (
#>    x: Union[int, str, ~AnyStr], 
#>    y: Union[int, str, ~AnyStr]
#> ) -> float
#> 
#> $euclidean
#> <function euclidean at 0x7f30f43517e0>
#>  signature: (x: Union[float, int], y: Union[float, int]) -> float
#> 
#> $gaussian
#> <function gaussian at 0x7f30f4351990>
#>  signature: (x: Union[float, int], y: Union[float, int]) -> float
#> 
#> $hamming
#> <cyfunction normalized_similarity at 0x7f30f43a9a40>
#>  signature: (s1, s2, *, pad=True, processor=None, score_cutoff=None)
#> 
#> $indel
#> <cyfunction normalized_similarity at 0x7f30f43a9560>
#>  signature: (s1, s2, *, processor=None, score_cutoff=None)
#> 
#> $jaro
#> <cyfunction normalized_similarity at 0x7f30f43aa260>
#>  signature: (s1, s2, *, processor=None, score_cutoff=None)
#> 
#> $jaro_winkler
#> <cyfunction normalized_similarity at 0x7f30f43aa5a0>
#>  signature: (
#>    s1, 
#>    s2,
#>    *, 
#>    prefix_weight=0.1, 
#>    processor=None, 
#>    score_cutoff=None
#> )
#> 
#> $lcsseq
#> <cyfunction normalized_similarity at 0x7f30f43a9080>
#>  signature: (s1, s2, *, processor=None, score_cutoff=None)
#> 
#> $levenshtein
#> <cyfunction normalized_similarity at 0x7f30f43a8860>
#>  signature: (
#>    s1, 
#>    s2,
#>    *, 
#>    weights=(1, 1, 1), 
#>    processor=None, 
#>    score_cutoff=None, 
#>    score_hint=None
#> )
#> 
#> $osa
#> <cyfunction normalized_similarity at 0x7f30f43a9f20>
#>  signature: (s1, s2, *, processor=None, score_cutoff=None)
#> 
#> $postfix
#> <cyfunction normalized_similarity at 0x7f30f43aa8e0>
#>  signature: (s1, s2, *, processor=None, score_cutoff=None)
#> 
#> $prefix
#> <cyfunction normalized_similarity at 0x7f30f43aac20>
#>  signature: (s1, s2, *, processor=None, score_cutoff=None)
#>