levenshtein-distance

问题 I installed Levenshtein using pip and it's included in pip list packages. But when I run a python script, appears this error: ModuleNotFoundError: No module named 'Levenshtein' This is the pip list : Cython (0.29.15) docopt (0.6.2) dyNET (2.1) mosestokenizer (1.1.0) numpy (1.16.6) openfile (0.0.7) pip (9.0.1) python-Levenshtein (0.12.0) setuptools (28.8.0) toolwrapper (1.0.0) uctools (1.0.2) wheel (0.29.0) The gcc is linked to the environment variables. Any suggestions? Thanks in advance. 回答1

问题 I installed Levenshtein using pip and it's included in pip list packages. But when I run a python script, appears this error: ModuleNotFoundError: No module named 'Levenshtein' This is the pip list : Cython (0.29.15) docopt (0.6.2) dyNET (2.1) mosestokenizer (1.1.0) numpy (1.16.6) openfile (0.0.7) pip (9.0.1) python-Levenshtein (0.12.0) setuptools (28.8.0) toolwrapper (1.0.0) uctools (1.0.2) wheel (0.29.0) The gcc is linked to the environment variables. Any suggestions? Thanks in advance. 回答1

问题 I installed Levenshtein using pip and it's included in pip list packages. But when I run a python script, appears this error: ModuleNotFoundError: No module named 'Levenshtein' This is the pip list : Cython (0.29.15) docopt (0.6.2) dyNET (2.1) mosestokenizer (1.1.0) numpy (1.16.6) openfile (0.0.7) pip (9.0.1) python-Levenshtein (0.12.0) setuptools (28.8.0) toolwrapper (1.0.0) uctools (1.0.2) wheel (0.29.0) The gcc is linked to the environment variables. Any suggestions? Thanks in advance. 回答1

问题 Say I have two arrays: import numpy as np arr1 = np.array(['faucet', 'faucets', 'bath', 'parts', 'bathroom']) arr2 = np.array(['faucett', 'faucetd', 'bth', 'kichen']) and I want to compute the similarity of the strings in arr2 to the strings in arr1 . arr1 is an array of correctly spelled words. arr2 is an array of words not recognized in a dictionary of words. I want to return a matrix which will then be turned into a pandas DataFrame. My current solution (credit): from scipy.spatial

问题 Given two strings of equal length, Levenshtein distance allows to find the minimum number of transformations necessary to get the second string, given the first. However, I'd like to find a way to adjust the alogrithm for multiple pairs of strings, given that they were all generated in the same way. 回答1: Reading the comments, it appears that this is the problem: You are given a set of pairs of strings, all the same length and each pair is the input to some function paired with the output from

问题 Based on this paper: IEEE TRANSACTIONS ON PAITERN ANALYSIS : Computation of Normalized Edit Distance and Applications In this paper Normalized Edit Distance as followed: Given two strings X and Y over a finite alphabet, the normalized edit distance between X and Y, d( X , Y ) is defined as the minimum of W( P ) / L ( P )w, here P is an editing path between X and Y , W ( P ) is the sum of the weights of the elementary edit operations of P, and L(P) is the number of these operations (length of

问题 Based on this paper: IEEE TRANSACTIONS ON PAITERN ANALYSIS : Computation of Normalized Edit Distance and Applications In this paper Normalized Edit Distance as followed: Given two strings X and Y over a finite alphabet, the normalized edit distance between X and Y, d( X , Y ) is defined as the minimum of W( P ) / L ( P )w, here P is an editing path between X and Y , W ( P ) is the sum of the weights of the elementary edit operations of P, and L(P) is the number of these operations (length of

问题 Based on this paper: IEEE TRANSACTIONS ON PAITERN ANALYSIS : Computation of Normalized Edit Distance and Applications In this paper Normalized Edit Distance as followed: Given two strings X and Y over a finite alphabet, the normalized edit distance between X and Y, d( X , Y ) is defined as the minimum of W( P ) / L ( P )w, here P is an editing path between X and Y , W ( P ) is the sum of the weights of the elementary edit operations of P, and L(P) is the number of these operations (length of

问题 I'm making a system for my school where we can check if a student is black-listed, at parties and other events. It's easy for me to check if a student is black-listed, since I can just look the student up in my database and see if he/she is black-listed. Here is where it gets difficult though. At our parties, each student can invite one person. In theory a student who is black-listed, can be invited by another student and bypass the system. I cannot check the guest table for students black

问题 I'm trying to create a program that calculate edit distance between two files. I read with the funcution fread and I use the code to read binary ("rb"). I put in input two PDF files and during the debug I found out that when I try to fill the matrix of the Levenshtein distance algorithm I get a "SIGSEGV (Segmentation fault)" at char n° 1354 of the first file and the program exit with: Process finished with exit code -1073741819 (0xC0000005) I controlled and char n° 1354 is \n . The code that