Samples & Tutorials

General tutorials

• Using the Python Client Library

  Describes how to use the Google APIs Client Library for Python to call AI Platform REST APIs in your applications.

• More Samples & Tutorials

  Describes the sample applications made for AI Platform.

TensorFlow tutorials

• Creating a custom prediction routine with Keras

  Walks through creating a custom prediction routine with TensorFlow Keras.

• More TensorFlow Samples & Tutorials

  Describes the sample applications made for AI Platform.

scikit-learn tutorials

• Training with scikit-learn on AI Platform

  Shows you how to create a training application with scikit-learn and train on AI Platform.

• Local Training and Online Predictions with scikit-learn pipelines

  Shows you how to use a scikit-learn pipeline for local training and preprocessing, and how to deploy a scikit-learn model to AI Platform to get online predictions.

• Creating a scikit-learn pipeline with custom transformers

  Walks through creating a scikit-learn pipeline with custom transformers.

• Creating a custom prediction routine with scikit-learn

  Walks through creating a custom prediction routine with scikit-learn.

• Using scikit-learn on Kaggle and AI Platform

  Describes how to train your model in Kaggle Kernels and deploy it on AI Platform to request online predictions.

XGBoost tutorials

• Training with XGBoost on AI Platform

  Shows you how to create a training application with XGBoost and train on AI Platform.

• Local Training and Online Predictions with XGBoost

  Shows you how to train a model locally with XGBoost and deploy it to AI Platform to get online predictions.