For educational reasons I've decided to create my own CA. Here is what I learned.
Lets get some context first.
evu
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JDWarner
/ _jaccard.py
Last active
April 20, 2024 01:38
Jaccard coefficient between two boolean NumPy arrays or array-like data. This is commonly used as a set similarity metric, and it is a true metric. The dimensionality of the input is completely arbitrary, but `im1.shape` and `im2.shape` much be equal. This Gist is licensed under the modified BSD license, otherwise known as the 3-clause BSD.
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| """ | |
| _jaccard.py : Jaccard metric for comparing set similarity. | |
| """ | |
| import numpy as np | |
| def jaccard(im1, im2): | |
| """ |
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