Dimensionality and distance traps (step 7/7) · unsupervised learning, embeddings, and recommenders

Checkpoint

One last thing before we move on. Same surface as a write step — but the lesson doesn't complete until this passes.

Checkpoint: nearest-neighbor search. Write nearest(query, candidates) that returns the name of the candidate whose vec is closest to query by Euclidean distance.

Checkpoint

One last thing before we move on. Same surface as a write step — but the lesson doesn't complete until this passes.

Checkpoint: nearest-neighbor search. Write nearest(query, candidates) that returns the name of the candidate whose vec is closest to query by Euclidean distance.

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Dimensionality and distance traps — step 7 of 7