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Google Cloud offers different support packages to meet different needs, such as 24/7 coverage, phone support, and access to a technical support manager. For more information, see Google Cloud Support.
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Discuss AI Platform Training
You can visit the Google Cloud Slack community to discuss AI Platform Training and other Google Cloud products. If you haven't already joined, use this form to sign up. You can also join the ml-engine Google group to discuss AI Platform Training.
Get support for machine learning frameworks
AI Platform Training provides support for our tooling that enables the use of the following machine learning frameworks: TensorFlow, scikit-learn, and XGBoost. AI Platform Training does not provide direct support for these frameworks.
Please report bugs and feature requests for machine learning frameworks as follows:
- To get support for TensorFlow, see the TensorFlow documentation. To submit issues to TensorFlow, see the TensorFlow issue tracker on GitHub.
- To get support for scikit-learn, see the scikit-learn FAQ. To submit issues to scikit-learn, see the scikit-learn issue tracker on GitHub.
- To get support for XGBoost, see the XGBoost FAQ. To submit issues to XGBoost, see the XGBoost issue tracker on GitHub.
Understand support for containers on AI Platform Training
AI Platform Training supports and maintains runtime versions for use with training and prediction.
The custom containers feature allows the option to use custom Docker images instead of the supported runtime versions. AI Platform Training provides support for tooling that enables the use of training with custom containers. AI Platform Training does not provide support for issues that arise from within a custom container.
File bugs or feature requests
From the AI Platform Training documentation, click "Send feedback" near the top right of the page. This will open a feedback form. Your comments will be reviewed by the AI Platform Training team.