AI Platform Products
Welcome to the AI Platform sample code repository. This repository contains samples for how to use AI Platform products.
Overview
The repository is organized by products:
Getting Started
We highly recommend that you start with our Quick Start Sample.
Navigating this Repository
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.
Google Machine Learning Repositories
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.
Troubleshooting
For common issues and solutions, please check our troubleshooting page.
Getting help
Please use the issues page to provide feedback or submit a bug report.