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You work for a manufacturing company.

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You work for a manufacturing company. You need to train a custom image classification model to detect product detects at the end of an assembly line. Although your model is performing well, some images in your holdout set are consistently mislabeled with high confidence. You want to use Vertex Al to understand your models results. What should you do?

A.

Configure feature-based explanations by using sampled Shapley. Set number of feature permutations to the maximum value of 50.

B.

Create an index by using Vertex Al Matching Engine. Query the index with your mislabeled images

C.

Configure example-based explanations by using integrated gradients. Set visualization type to pixels, and set clip_percent_upperbound to 95.

D.

Configure example-based explanations. Specify the embedding output layer to be used for the latent space representation.

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