* Hardcode gcpc version and rename variable
* Remove hardcoded value in the pipeline
* Fix parameter explanation text
* Run linter
* Fix class labels variable
* Add feature filter notebook
* Clean code
* Run linter
* Add the notebook to CODEOWNERS
* Remove user flag
* Run linter
* Fix bucket URI
* Run linter
* Simplify the notebook
**REQUIRED:** Add a summary of your PR here, typically including why the change is needed and what was changed. Include any design alternatives for discussion purposes.
Hardcoded gcpc version because it fails in newer versions. And this is a request from model eval swe team to hardcode the version.
**REQUIRED:** Fill out the below checklists or remove if irrelevant
1. 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.
- [x] 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).
- [x] 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.
* Add bqml-vertexai-model-registry notebook
* Run linter
* Add notebook to CODEOWNERS file
* Update the links
* Ran linter again
* Rename bigquey-ml folder to model-registry
* Add bigquery-ml folder
* Moved the notebook
* Deleted folder
* Resolve comments
* Use UUID
* Remove using existing endpoint
* Remove try statement
* Get model sample based on model's name
* Use job.result to check query job status
* Run linter
* Fix dataset not found error by adding region in bq client creation
* Revert changes
* Fix bq bugs
* Run linter
* Resolve comments
* Display dataframe
* Updated the codeowner file
* Updated the links and editted text
* Run linter
* Remove repeated resources
* Run linter
* Resolve comments
* Run linter
* Install pyarrow
Co-authored-by: Andrew Ferlitsch <aferlitsch@google.com>
* Create a function to get notebook python version for execution
* Inject python version to yaml file
* Fix python version references
* Add python string to python version variable
* add python version extraction script (untested)
* Create a function to get notebook python version for execution
* Inject python version to yaml file
* Fix python version references
* Add python string to python version variable
* Remove one notebook condition
* Remove extra check and use python 3 as default version
* Use python3.9 as default version
* Update python version notebook parser
* Add python version to the notebook template
* Fix bug
* Update python version parser function
* Add python version to a notebook for testing
* Run linter
* Use regex in python version parser function
* Add new notebook for testing
* Use better variable name
* fix typo
* Use f string instead +
* Use python from env instead of using _PYTHON_VERSION
* Use simpler regex
* Add python version test notebook
* Fixed a mistake
* Updated notebook template with python version
* Fixed python version format
* Print log contents to stdout
* Remove failing notebook
* Run linter
* Remove extra steps in the printed log
* Edit comments
* Run linter
* Run linter
* Revert test changes
Co-authored-by: AG Sol <aarongabriel@google.com>
* Add automl regression model eval first draft
* Remove extra file
* Pring evaluation results
* adds the automl-tabular-classification notebook in model_evaluation folder
* removes unnecessary imports
* adjusts the imports inside the pipeline
* adjusts the imports
* elaborates imports inside pipeline
* modified regression notebook
* renamed pipeline displayname to resolve error
* Add automl regression model eval first draft
* Remove extra file
* Pring evaluation results
* modified some text
* added suggested updates from review: remove dataflow params, add/change textual descriptions, add UUID
* removes the output from the notebooks
* removes the extra matplotlib import
* ran linter test
* addressed soheila's comments
* ran linter
* addresses the review comments
* ran linter test
* removes the artifacts comment
* ran linter test
* reviewed comments
* ran linter
* addresses review comments: textual updates, removes unnecessary parameters
* ran linter test
* addressed comments
* ran linter
* removed unwanted variables
* ran linter
* addresses the tech-writer's comments + updates the pipeline image with data-sampler task
* ran linter test
* Update text
* Move model eval folder to official
* Update CODEOWNERS
* Run linter
* Removed problem_type parameter
* Run linter
* addresses Andrew's review comments: textual updates and removes additional gcpc installation
* ran linter test
* comments addressed
* ran linter
* removed trailing comma on last parameter of trainingjob.run
* ran linter
Co-authored-by: krishr2d2 <krishna.movva@springml.com>
Co-authored-by: sudarshan-SpringML <sudarshan.c@springml.com>
Co-authored-by: Andrew Ferlitsch <aferlitsch@google.com>
* Add automl regression model eval first draft
* Remove extra file
* Pring evaluation results
* adds the automl-tabular-classification notebook in model_evaluation folder
* removes unnecessary imports
* adjusts the imports inside the pipeline
* adjusts the imports
* elaborates imports inside pipeline
* modified regression notebook
* renamed pipeline displayname to resolve error
* Add automl regression model eval first draft
* Remove extra file
* Pring evaluation results
* modified some text
* added suggested updates from review: remove dataflow params, add/change textual descriptions, add UUID
* removes the output from the notebooks
* removes the extra matplotlib import
* ran linter test
* addressed soheila's comments
* ran linter
* addresses the review comments
* ran linter test
* removes the artifacts comment
* ran linter test
* reviewed comments
* ran linter
* addresses review comments: textual updates, removes unnecessary parameters
* ran linter test
* addressed comments
* ran linter
* removed unwanted variables
* ran linter
* addresses the tech-writer's comments + updates the pipeline image with data-sampler task
* ran linter test
Co-authored-by: krishr2d2 <krishna.movva@springml.com>
Co-authored-by: sudarshan-SpringML <sudarshan.c@springml.com>
Co-authored-by: Andrew Ferlitsch <aferlitsch@google.com>
* Add bqml-vertexai-model-registry notebook
* Run linter
* Add notebook to CODEOWNERS file
* Update the links
* Ran linter again
* Rename bigquey-ml folder to model-registry
* Add bigquery-ml folder
* Moved the notebook
* Deleted folder
* Resolve comments
* Use UUID
* Remove using existing endpoint
* Remove try statement
* Get model sample based on model's name
* Use job.result to check query job status
* Run linter
* Fix dataset not found error by adding region in bq client creation
* Revert changes
* Fix bq bugs
* Run linter
* Resolve comments
* Display dataframe
* Updated the codeowner file
