Cosine Similarity From Scratch | Dataford Interview Questions

Implement a function to calculate the cosine similarity between two high-dimensional vectors from scratch.

Implement cosine_similarity(vector_a, vector_b). The inputs are equal-length arrays of real numbers. Return the scalar dot(vector_a, vector_b) / (norm(vector_a) * norm(vector_b)). If either vector has zero magnitude, return 0.0 because its direction is undefined. Do not use a machine-learning or numerical library.

Constraints

1 <= vector_a.length = vector_b.length <= 1000
Elements are finite real numbers
If either vector has zero magnitude, return 0.0

Function Signature

def cosine_similarity(vector_a, vector_b):

Your question is Cosine Similarity From Scratch. Start with the requirements in the Question tab.

Run and submit as often as you like. When you're ready, talk me through your approach or go straight to the code.

Problem

Implement a function to calculate the cosine similarity between two high-dimensional vectors from scratch.

Constraints

1 <= vector_a.length = vector_b.length <= 1000
Elements are finite real numbers
If either vector has zero magnitude, return 0.0

Function Signature

def cosine_similarity(vector_a, vector_b):

Your question is Cosine Similarity From Scratch. Start with the requirements in the Question tab.

Run and submit as often as you like. When you're ready, talk me through your approach or go straight to the code.