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refactor, fix, chore(egen): edits get_started_bq_datasets #3248
refactor, fix, chore(egen): edits get_started_bq_datasets #3248
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Check out this pull request on See visual diffs & provide feedback on Jupyter Notebooks. Powered by ReviewNB |
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numerous required edits
@@ -103,7 +109,7 @@ | |||
"When doing E2E MLOps on Google Cloud, following are the best practices when dealing with structured (tabular) data in BigQuery:\n", | |||
"\n", | |||
"- For AutoML training:\n", | |||
" - Create a managed dataset with Vertex AI `TabularDataset`.\n", | |||
" - Create a managed dataset with Vertex AI TabularDataset.\n", |
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- change: "Vertex AI TabularDataset"
- to: Vertex AI tabular dataset"
For reference, see: https://cloud.google.com/vertex-ai/docs/tutorials/tabular-bq-prediction/create-dataset
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Question: Here TabularDataset
is a python class. Should that still be changed?
/gcbrun |
/gcbrun |
REQUIRED: Fill out the below checklists or remove if irrelevant
Official Notebooks
under the notebooks/official folder, follow this mandatory checklist:Official Notebooks
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under the notebooks/community folder:Community Notebooks
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under the community-content folder:Content Directory Name
is descriptive, informative, and includes some of the key products and attributes of your content, so that it is differentiable from other contentCommunity Content
section, pointing to the author or the author's team.