Evaluation
Scaling Model Evaluation at Pinterest with Ray (Part 4)
Our short summary of Pinterest’s engineering write-up. The full story, with all the detail, is on their blog.
Read the full write-up on medium.com (opens in a new tab)Problem
Running many model experiments caused slow, costly evaluation pipelines.
Solution
They combined Ray with Spark to compute metrics during inference, using accumulators to aggregate results on the fly, cutting evaluation time by up to 32%.
Evaluation time reduced up to 32%
Want the architecture, code and numbers? They’re in the original post.
Read the full write-up on medium.com (opens in a new tab)
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