model_garden

xiaohei/model_garden

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gericdongandGitHub cb72a56e55 feat: PyTorch train and deploy E2E with pre-built containers (#1728 )

* feat: PyTorch train and deploy E2E with pre-built containers

* address review comments

* address review comment 2

* suppress gsutil warning messags

* Use unique names

* Corrected the project id template

2023-04-17 14:56:43 +00:00

custom_batch_prediction_feature_filter.ipynb

Autoindex official (#1385 )

2022-12-21 12:53:24 -08:00

pytorch_image_classification_with_prebuilt_serving_containers.ipynb

Specifying Python Version and Pinning Dependencies for pytorch_image_classification_with_prebuilt_serving_containers.ipynb (#1649 )

2023-03-30 17:03:04 +00:00

pytorch_train_deploy_models_with_prebuilt_containers.ipynb

feat: PyTorch train and deploy E2E with pre-built containers (#1728 )

2023-04-17 14:56:43 +00:00

README.md

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2023-01-07 11:48:07 -08:00

README.md

Custom model batch prediction with feature filtering

Learn how to create a custom-trained model from a Python script in a Docker container using the Vertex AI SDK for Python, and then run a batch prediction job by including or excluding a list of features.

The steps performed include:

- Create a Vertex AI custom `TrainingPipeline` for training a model.
- Train a TensorFlow model.
- Send batch prediction job.

Learn more about Vertex AI Batch Prediction.