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Some models, like Keras squential models, don't return a dictionary for their prediction. We need to support these models as it is commonly used.

Fixes b/220167889

taiseiak and others added 12 commits December 16, 2021 17:38
Add automatic addition of feature attribution for TensorFlow 2 models in the LIT integration on Vertex Notebooks. Detects for Vertex Notebooks by looking for the same enviornment variable to check for Vertex Notebooks as the LIT library does.
Add the ability to open LIT with a deployed model. Has support for explainability, if the model has it enabled.
…'t return a dictionary. Some models, like Keras squential models, don't return a dictionary for their prediction. We need to support these models as it is commonly used.
@sasha-gitg sasha-gitg self-requested a review March 2, 2022 17:33
@sasha-gitg sasha-gitg added the automerge Merge the pull request once unit tests and other checks pass. label Mar 2, 2022
@gcf-merge-on-green gcf-merge-on-green bot merged commit b9a057d into googleapis:main Mar 2, 2022
@gcf-merge-on-green gcf-merge-on-green bot removed the automerge Merge the pull request once unit tests and other checks pass. label Mar 2, 2022
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