* Migrate gsutil usage to gcloud storage
* Manual Changes-Updated the cell by replacing 'gsutil copy' with the correct 'gcloud storage cp'
* Manual Changes-Updated the cell by replacing 'gsutil copy' with the correct 'gcloud storage cp'
* Revert "Manual Changes-Updated the cell by replacing 'gsutil copy' with the correct 'gcloud storage cp'"
This reverts commit 175eaa4fe8.
* Manual Changes-Updated the cell by replacing 'gsutil copy' with the correct 'gcloud storage cp'
* Changes for 4326
* Changes for 4326
* Linter fix issue for 4326
* removed model garden changes
* Update model_garden_movinet_action_recognition.ipynb
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Co-authored-by: bhandarivijay <bhandarivijay@google.com>
Co-authored-by: gurusai-voleti <gvoleti@google.com>
* chore, refactor: refactors and edits according to the template.
* chore: lint
* chore: update objective and other verbiage
* chore: edits title of the notebook
* chore, refactor: removes boiler plate, adds colab enterprise, changes region to location
* refactor: adds testing code and variables
* chore: adds test code and runs end to end
* chore: end to end test and remove testing code
* chore: lint test
* chore: rectify parameter explanation
* fix: adds code and relevant markdown to copy dataset to the project's bucket for dealing with access issue
* chore: removes code font for Dataset
* chore: lint
* chore: address review comments
* adds gcfs to the installation
* chore,refactor(egen): Changed REGION variable name to LOCATION, defined two variables to get the pipelines names to be used in cleanup section, added cleanup code for deletion of pipelines and models, replaced uuid with unique,removed os.getenv(IS_TESTING) from the cleanup section, refactored code according to the template guidelines and performed linter test.
* fix(egen): changed the version of google-cloud-pipeline-components and performed linter test.
* chore(egen): changed the version of google cloud pipeline components package in installation step and performed linter test.
* fix(egen): changed the model-evaluation parameter to model-evaluation-2 in get_evaluation_metrics function and performed linter test.
* fix(egen): modified the code in get_feature_attributions helper function and performed linter test.
* fix(egen): modified code in cleanup section to delete pipeline jobs and performed linter test.
* fix(egen): renamed model-upload-2 to model-upload in cleanup code of automl tabular architecture pipeline and performed linter test.
* chore(egen): changed the colab enterprise link by renaming automml to automl in link and performed linter test.
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Co-authored-by: sriramya2610 <sriramya.peddapally@egen.ai>
* <refactor, chore> data is copied to project's own bucket for importing into the dataset, added gcfs library, other corrections from template
* <refactor, chore> data is copied to project's own bucket for importing into the dataset, added gcfs library, other corrections from template
* markdown edits
* markdown edits
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Co-authored-by: SumanthKasula99 <sumanth.kasula@egen.ai>
* chore, feat, refactor: Remove future tense, follows new notebook template, adds cleanup step for deleting the pipelines and models created, refactors the utility functions to fetch model resource
* fix: corrects the notebook name in the links
* chore: addresses review comments
* fix: loads the model from resource name before deletion
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Co-authored-by: krishr2d2 <krishna.movva@egen.ai>
* chore, refactor: removes boilerplate, adds colab enterprise and makes changes according to template and authoring guide
* chore: lint
* fix: adds dataset copying code to fix data access issue
* chore: lint
* fix: adds gcsfs package to deal with the check error
* chore: clears outputs
* refactor,chore(egen): refactored code as per template guidelines
* refactor,chore(egen): fix region variable
* refactor(egen): refactored notebook as per template guielines
* refactor,chore(egen): performed linter test
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Co-authored-by: Jayakrishna2801 <jayakrishna.rajaboina@egen.ai>
* fix,chore,refactor(egen): Changed REGION variable name to LOCATION, modified the import file of flowers dataset, added comments in cleanup section, removed os.getenv(IS_TESTING) from the cleanup section, refactored code according to template guidelines and performed linter test.
* chore(egen): Done changes according to @kittylabs and performed linter test.
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Co-authored-by: sriramya2610 <sriramya.peddapally@egen.ai>
* chore, refactor: adds colab enterprise, removes boiler plate, refactors according to template
* chore: run end to end and lint
* chore: addresses reviw comments
* refactor, chore(egen): replaces region with location, adds additional parameters in dataset_delete() function inside cleanup cell
* wording changes
* wording and case change
* fix,chore,refactor(egen):Changed REGION variable name to LOCATION, modified the import file, added version for the tensorflow package in installation step, added comments in cleanup section, removed os.getenv(IS_TESTING) from the cleanup section, refactored code according to the template guidelines and performed linter test.
* chore(egen): Done changes according to @kittyabs and performed linter test.
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Co-authored-by: sriramya2610 <sriramya.peddapally@egen.ai>
* chore, refactor: adds colab enterprise, remove boiler plate
* refactor: changes REGION to LOCATION
* chore: run end to end and remove testing variable
* chore: lint
* Numerous edits to "Vertex AI SDK: AutoML training video classification model for batch prediction". Does not impact code.
* Update sdk_automl_video_classification_batch.ipynb
deleted "a"
