This directory contains samples for the Google Cloud AutoML APIs - docs

We highly reccommend that you refer to the official documentation pages:

• AutoML Natural Language
  • Classification
  • Entity Extraction
  • Sentiment Analysis
• AutoML Translation

• AutoML Vision
  • Classification
  • Object Detection

This API is part of the larger collection of Cloud Machine Learning APIs.

These Java samples demonstrates how to access the Cloud AutoML API using the Google Cloud Client Library for Java.

Install Maven.

Build your project with:

mvn clean package

There are two types of samples: Base and API Specific

The base samples make up a set of samples that have code that is identical or nearly identical for each AutoML Type. Meaning that for "Base" samples you can use them with any AutoML Type. However, for API Specific samples, there will be a unique sample for each AutoML type. See the below list for more info.

• Import Dataset
• List Datasets - For each AutoML Type the metadata field inside the dataset is unique, therefore each AutoML Type will have a small section of code to print out the metadata field.
• Get Dataset - For each AutoML Type the metadata field inside the dataset is unique, therefore each AutoML Type will have a small section of code to print out the metadata field.
• Export Dataset
• Delete Dataset

• List Models
• List Model Evaluation - For each AutoML Type the metrics field inside the model is unique, therefore each AutoML Type will have a small section of code to print out the metrics field.
• Get Model
• Get Model Evaluation - For each AutoML Type the metrics field inside the model is unique, therefore each AutoML Type will have a small section of code to print out the metrics field.
• Delete Model
• Deploy Model - Not supported by Translation
• Uneploy Model - Not supported by Translation

• Batch Predict - Supported by: Natural Language Entity Extraction, Vision Classification, and Vision Object Detection.

• List Operation Statuses
• Get Operation Status

• Translate Create Dataset
• Translate Create Model
• Translate Predict

• Entity Extraction Create Dataset
• Entity Extraction Create Model
• Entity Extraction Predict
• Entity Extraction Batch Predict

• Sentiment Analysis Create Dataset
• Sentiment Analysis Create Model
• Sentiment Analysis Predict

• Text Classification Create Dataset
• Text Classification Create Model
• Text Classification Predict

• Classification Create Dataset
• Classification Create Model
• Classification Predict
• Classification Batch Predict
• Deploy Node Count

• Object Detection Create Dataset
• Object Detection Create Model
• Object Detection Predict
• Object Detection Batch Predict
• Deploy Node Count