* Added missing link and made other edits to "Custom training with pre-built Google Cloud Pipeline Components". No impact on code
* Update custom_model_training_and_batch_prediction.ipynb
fixed typo
* feat: Replace evaluation pipeline with Vertex SDK evaluate function on automl_text_classification_model_evaluation.ipynb
* Add automl-text-classification-evaluation-image
* Manually change notebook to test lint locally
* Format lint
* Update get_started_with_vertex_experiments.ipynb
Fix several errors preventing notebook from being run out of the box, namely the custom job container image.
* Update get_started_with_vertex_experiments.ipynb
* Update get_started_with_vertex_experiments.ipynb
* Update get_started_with_vertex_experiments.ipynb
* Update get_started_with_vertex_experiments.ipynb
* Update CODEOWNERS
* Update get_started_with_vertex_experiments.ipynb
* Made edits to "Vertex AI TensorBoard custom training with custom container". Fixed typos and cleaned up content. No impact on code
* Update tensorboard_custom_training_with_custom_container.ipynb
Deleted empty cell.
We temporarily disabled this parameter for first-party models, so this will avoid validation errors when running the RLHF tuning notebook in the meantime.
Co-authored-by: Ryan Latture <latture@google.com>
* 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"
* Made edits to "Vertex AI TensorBoard integration with Vertex AI Pipelines". I also updated the section on viewing and comparing pipeline runs to point to new documentation.
* Update tensorboard_vertex_ai_pipelines_integration.ipynb
A few more small fixes. Trying to find source of lint error
* Update tensorboard_vertex_ai_pipelines_integration.ipynb
removed empty cells
* Replace evaluation pipeline with evaluate function
* Replace evaluation pipeline with evaluate function on automl_tabular_regression_model_evaluation.ipynb
* Replace evaluation pipeline with evaluate function on custom_tabular_classification_model_evaluation.ipynb
* Replace evaluation pipeline with evaluate function on custom_tabular_regression_model_evaluation.ipynb
* Replace evaluation pipeline with evaluate function on automl_video_classification_model_evaluation.ipynb
* Format automl_tabular_classification_model_evaluation.ipynb
* Format automl_tabular_regression_model_evaluation.ipynb
* Format automl_video_classification_model_evaluation.ipynb
* Format custom_tabular_classification_model_evaluation.ipynb
* Format custom_tabular_regression_model_evaluation.ipynb
* Add files via upload
* Update screenshot for notebooks with evaluate function usage
* Revert custom_tabular_classification_model_evaluation.ipynb
* Format lint
* manual fix lint
* Update get_started_with_vertex_experiments_autologging.ipynb
Added link in "Learn more about..." to the Vertex AI Experiments intro page. Currently, this notebook is not showing up properly in the Jupyter SDK Tutorial page.
* Update get_started_with_vertex_experiments_autologging.ipynb
* Update notebook_template_review.py
Missing left curly bracket/brace 2xs
(Note, commented out, but still fixing)
#'AutoML Vision': '{automl_vision_name}}',
#'AutoML Image': '{automl_vision_name}}',
* Update get_started_with_vertex_experiments_autologging.ipynb
Needed to add a period.
* fix: update spacing
---------
Co-authored-by: Katie Nguyen <katiemn@gmail.com>
* Update comparing_pipeline_runs.ipynb
Needed edits for the page. Does not impact code.
* Update comparing_pipeline_runs.ipynb
responded to katie's feedback.
* feat: Vertex AI Feature Store Based LLM Grounding Tutorial
* fix: fix the feature store based llm grounding tutorial based on a few comments
* fix: fix the feature store based llm grounding tutorial based on a few comments
* fix: move the fs grounding notebook to official
* fix: comment colab only code
* fix: fix pipeline prefix
* fix: resolve several comments
* fix: resolve several comments
* fix: a quick fix for type
* fix: a quick fix for import
* fix: a quick fix for colab
