Jaccard index: Difference between revisions
Added Python implementation for the Jaccard Index task
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(Added Python implementation for the Jaccard Index task) |
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Line 657:
A = [8], B = [8], J = 1
true.
</pre>
=={{header|Python}}==
<syntaxhighlight lang="python">
# jaccard_index.py by Xing216
from itertools import product
A = set()
B = {1, 2, 3, 4, 5}
C = {1, 3, 5, 7, 9}
D = {2, 4, 6, 8, 10}
E = {2, 3, 5, 7}
F = {8}
sets = list(product([A, B, C, D, E, F], repeat=2))
set_names = list(product(["A", "B", "C", "D", "E", "F"], repeat=2))
def jaccard_index(set1, set2):
try:
return len(set1 & set2)/len(set1 | set2)
except ZeroDivisionError:
return 0.0
for i,j in sets:
jacc_idx = jaccard_index(i,j)
sets_idx = sets.index((i,j))
print(f"J({', '.join(set_names[sets_idx])}) -> {jacc_idx}")
</syntaxhighlight>
{{out}}
<pre style="height: 10em">
J(A, A) -> 0.0
J(A, B) -> 0.0
J(A, C) -> 0.0
J(A, D) -> 0.0
J(A, E) -> 0.0
J(A, F) -> 0.0
J(B, A) -> 0.0
J(B, B) -> 1.0
J(B, C) -> 0.42857142857142855
J(B, D) -> 0.25
J(B, E) -> 0.5
J(B, F) -> 0.0
J(C, A) -> 0.0
J(C, B) -> 0.42857142857142855
J(C, C) -> 1.0
J(C, D) -> 0.0
J(C, E) -> 0.5
J(C, F) -> 0.0
J(D, A) -> 0.0
J(D, B) -> 0.25
J(D, C) -> 0.0
J(D, D) -> 1.0
J(D, E) -> 0.125
J(D, F) -> 0.2
J(E, A) -> 0.0
J(E, B) -> 0.5
J(E, C) -> 0.5
J(E, D) -> 0.125
J(E, E) -> 1.0
J(E, F) -> 0.0
J(F, A) -> 0.0
J(F, B) -> 0.0
J(F, C) -> 0.0
J(F, D) -> 0.2
J(F, E) -> 0.0
J(F, F) -> 1.0
</pre>
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