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Jaccard Distance

Unsolved
NLP

Difficulty: 3 | Problem written by mesakarghm
Problem reported in interviews at

Amazon

The Jaccard Distance between two sentences is the complement of the Jaccard similarity between the given two sentences. 

Write a function jaccard_distance(list1,list2) which calculates the Jaccard distance between the given lists and returns it. 

Inputs will be two lists, with a vectorial representation of words (int values), and the output should be the Jaccard distance among the given two lists (float). 

Sample Input:
<class 'list'>
list1: [1, 0, 0, 1]
<class 'list'>
list2: [0, 1, 1]

Expected Output:
<class 'float'>
0.6

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Comments
Jump to comment-193
mo_venouziou • 1¬†month, 2¬†weeks ago

0

In the test case, both lists contain the same set of words {0, 1}, so shouldn't the distance = 0, rather than .6?

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Input Test Case

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numpy has been already imported as np (import numpy as np)