Welcome to the AI Platform sample code repository. This repository contains samples for how to use AI Platform products.
The repository is organized by products:
We highly recommend that you start with our Quick Start Sample.
This repository is organized based on the available products on AI Platform, and the typical Machine Learning problems that developers are trying to solve. For instance, if you are trying to train a model with scikit-learn, you will find the sample under training/sklearn/structured/base directory. AI Platform also supports xgboost, TensorFlow, and PyTorch.
Please refer to the README.md file in each sample directory for more specific instructions.
If you’re looking for our guides on how to do Machine Learning on Google Cloud Platform (GCP) using other services, please checkout our other repositories:
- ML on GCP, which has guides on how to bring your code from various ML frameworks to Google Cloud Platform using things like Google Compute Engine or Kubernetes.
- Professional Services, common solutions and tools developed by Google Cloud's Professional Services team.
For common issues and solutions, please check our troubleshooting page.
Please use the issues page to provide feedback or submit a bug report.