Update regression.ipynb to explicitly cast one-hot encoding values #2316
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
As currently written, the one-hot encoding step leaves the user with boolean dummy values that cause errors later in the tutorial as presently written, when passing the np.array() argument to Normalization.adapt(). The values need to be cast to a numerical type (e.g., int) either at the one-hot encoding step or the adapt() step.