Contents:
Symbolic sequence prediction with machine learning
Time series forecasting with symbolic representation
String Distance and Similarity Metrics
API Reference
License
slearn
Index
Index
_
|
B
|
C
|
D
|
H
|
J
|
L
|
N
|
R
|
S
_
__init__() (slearn.slearn method)
(slearn.symbolicML method)
_symbols()
built-in function
B
built-in function
_symbols()
cosine_bigram_similarity()
cosine_similarity()
damerau_levenshtein_distance()
dice_coefficient()
hamming_distance()
jaro_similarity()
jaro_winkler_distance()
lcs_distance()
levenshtein_distance()
lzw_string_generator()
lzw_string_seeds()
lzwcompress()
lzwdecompress()
normalized_damerau_levenshtein_distance()
normalized_hamming_distance()
normalized_lcs_distance()
normalized_levenshtein_distance()
normalized_smith_waterman_distance()
reduce()
smith_waterman_distance()
C
cosine_bigram_similarity()
built-in function
cosine_similarity()
built-in function
D
damerau_levenshtein_distance()
built-in function
dice_coefficient()
built-in function
H
hamming_distance()
built-in function
J
jaro_similarity()
built-in function
jaro_winkler_distance()
built-in function
L
lcs_distance()
built-in function
levenshtein_distance()
built-in function
lzw_string_generator()
built-in function
lzw_string_seeds()
built-in function
lzwcompress()
built-in function
lzwdecompress()
built-in function
N
normalized_damerau_levenshtein_distance()
built-in function
normalized_hamming_distance()
built-in function
normalized_lcs_distance()
built-in function
normalized_levenshtein_distance()
built-in function
normalized_smith_waterman_distance()
built-in function
R
reduce()
built-in function
S
slearn (class in slearn)
smith_waterman_distance()
built-in function
symbolicML (class in slearn)