Cosine similarity is a measure of similarity between two vectors of an inner product space that measures the cosine of the angle between them.
Suppose I have a numpy matrix like the following: array([array([ 0.0072427 , 0.00669255, 0.00785213, 0.00845336, 0.01042869]), array([ 0.00710799, 0.00668831, 0.00772334, 0.00777796, 0.01049965]), array([ 0.00741872, 0.00650899, 0.00772273, 0.00729002, 0.00919407]), array([ 0.00717589, 0.00627021, 0.0069514 , 0.0079332 , 0.01069545]), array([ 0.00617369, 0.00590539, 0.00738468, 0.00761699, 0.00886915])], dtype=object) How can I …
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