expand_dims to correctly test multi-hot

[danielsparing]

Without expanding dimensions, multi-hot encoded columns are not correctly illustrated (they will be parsed as single-record multi-label, not single-label multi-record).

(Another question is whether we need multi-hot for these columns instead of one-hot, as they are not multi-label?)

[github-actions]

Preview

Preview and run these notebook edits with Google Colab:

• site/en/tutorials/structured_data/preprocessing_layers.ipynb

Rendered notebook diffs available on ReviewNB.com.

Format and style

Use the TensorFlow docs notebook tools to format for consistent source diffs and lint for style:

$ python3 -m pip install -U --user git+https://github.com/tensorflow/docs

$ python3 -m tensorflow_docs.tools.nbfmt notebook.ipynb

$ python3 -m tensorflow_docs.tools.nblint --arg=repo:tensorflow/docs notebook.ipynb

If commits are added to the pull request, synchronize your local branch: git pull origin patch-1

[MarkDaoust]

Thanks.

[8bitmp3]

Thank you @danielsparing and @MarkDaoust. Really appreciate it. I'll review the doc to make sure it passes the CI / Notebook lint test 👍

[8bitmp3]

The notebook uses Keras-native and the CI test is checking for words found in the inclusive wordlist. LGTM!