Hierarchical forecasting notebook (#664)

This is a hierarchical forecasting notebook demonstrating the use of the new hierarchical forecasting parameters for AutoML Forecasting.

If you are opening a PR for `Official Notebooks` under the [notebooks/official](https://togithub.com/GoogleCloudPlatform/vertex-ai-samples/tree/main/notebooks/official) folder, follow this mandatory checklist:
- [x] Use the [notebook template](https://togithub.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/notebook_template.ipynb) as a starting point.
- [x] Follow the style and grammar rules outlined in the above notebook template.
- [ ] Verify the notebook runs successfully in Colab since the automated tests cannot guarantee this even when it passes.
- [x] Passes all the required automated checks. You can locally test for formatting and linting with these [instructions](https://togithub.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/CONTRIBUTING.md#code-quality-checks).
- [ ] You have consulted with a tech writer to see if tech writer review is necessary. If so, the notebook has been reviewed by a tech writer, and they have approved it.
- [x] This notebook has been added to the [CODEOWNERS](https://togithub.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/CODEOWNERS) file under the `Official Notebooks` section, pointing to the author or the author's team.
- [x] The Jupyter notebook cleans up any artifacts it has created (datasets, ML models, endpoints, etc) so as not to eat up unnecessary resources.
This commit is contained in:
Ivan Cheung
2022-11-30 20:02:13 +00:00
committed by GitHub
parent 32ac97982c
commit 3185ca7d48
2 changed files with 1763 additions and 1 deletions
+2 -1
View File
@@ -39,4 +39,5 @@
/tabular_workflows/tabnet_on_vertex_pipelines.ipynb @sakagarwal
/tabular_workflows/wide_and_deep_on_vertex_pipelines.ipynb @sakagarwal
/model_evaluation/custom_tabular_classification_model_evaluation.ipynb @soheilazangeneh
/sdk/SDK_FBProphet_Forecasting_Online.ipynb @brianchunkang
/sdk/SDK_FBProphet_Forecasting_Online.ipynb @brianchunkang
/automl/sdk_automl_forecasting_hierarchical_batch.ipynb @ivanmkc
File diff suppressed because one or more lines are too long