Java idiomatic client for Cloud Auto ML.
🚌 In October 2022, this library has moved to
google-cloud-java/java-automl.
This repository will be archived in the future.
Future releases will appear in the new repository (https://github.com/googleapis/google-cloud-java/releases).
The Maven artifact coordinates (com.google.cloud:google-cloud-automl) remain the same.
If you are using Maven with BOM, add this to your pom.xml file:
<dependencyManagement>
<dependencies>
<dependency>
<groupId>com.google.cloud</groupId>
<artifactId>libraries-bom</artifactId>
<version>26.1.4</version>
<type>pom</type>
<scope>import</scope>
</dependency>
</dependencies>
</dependencyManagement>
<dependencies>
<dependency>
<groupId>com.google.cloud</groupId>
<artifactId>google-cloud-automl</artifactId>
</dependency>
<dependency>
<groupId>com.google.cloud</groupId>
<artifactId>google-cloud-bigquery</artifactId>
</dependency>
<dependency>
<groupId>com.google.cloud</groupId>
<artifactId>google-cloud-storage</artifactId>
</dependency>
</dependencies>
If you are using Maven without BOM, add this to your dependencies:
<dependency>
<groupId>com.google.cloud</groupId>
<artifactId>google-cloud-automl</artifactId>
<version>2.3.17</version>
</dependency>
<dependency>
<groupId>com.google.cloud</groupId>
<artifactId>google-cloud-bigquery</artifactId>
<version>2.17.0</version>
</dependency>
<dependency>
<groupId>com.google.cloud</groupId>
<artifactId>google-cloud-storage</artifactId>
<version>2.13.0</version>
</dependency>
If you are using Gradle 5.x or later, add this to your dependencies:
implementation platform('com.google.cloud:libraries-bom:26.6.0')
implementation 'com.google.cloud:google-cloud-automl'If you are using Gradle without BOM, add this to your dependencies:
implementation 'com.google.cloud:google-cloud-automl:2.10.0'If you are using SBT, add this to your dependencies:
libraryDependencies += "com.google.cloud" % "google-cloud-automl" % "2.10.0"See the Authentication section in the base directory's README.
The client application making API calls must be granted authorization scopes required for the desired Cloud Auto ML APIs, and the authenticated principal must have the IAM role(s) required to access GCP resources using the Cloud Auto ML API calls.
You will need a Google Cloud Platform Console project with the Cloud Auto ML API enabled.
You will need to enable billing to use Google Cloud Auto ML.
Follow these instructions to get your project set up. You will also need to set up the local development environment by
installing the Google Cloud SDK and running the following commands in command line:
gcloud auth login and gcloud config set project [YOUR PROJECT ID].
You'll need to obtain the google-cloud-automl library. See the Quickstart section
to add google-cloud-automl as a dependency in your code.
🔔 AutoML API Java Client is now available in Vertex AI. Please visit java-aiplatform for the new Java Vertex AI client. Vertex AI is our next generation AI Platform, with many new features that are unavailable in the current platform. Migrate your resources to Vertex AI to get the latest machine learning features, simplify end-to-end journeys, and productionize models with MLOps.
Cloud Auto ML makes the power of machine learning available to you even if you have limited knowledge of machine learning. You can use AutoML to build on Google's machine learning capabilities to create your own custom machine learning models that are tailored to your business needs, and then integrate those models into your applications and web sites.
See the Cloud Auto ML client library docs to learn how to use this Cloud Auto ML Client Library.
Samples are in the samples/ directory.
| Sample | Source Code | Try it |
|---|---|---|
| Dataset Api | source code |  |
| Model Api | source code | |
| Classification Undeploy Model | source code | |
| Prediction Api | source code | |
| Classification Undeploy Model | source code | |
| Model Api | source code | |
| Prediction Api | source code | |
To get help, follow the instructions in the shared Troubleshooting document.
Cloud Auto ML uses gRPC for the transport layer.
Java 8 or above is required for using this client.
Google's Java client libraries, Google Cloud Client Libraries and Google Cloud API Libraries, follow the Oracle Java SE support roadmap (see the Oracle Java SE Product Releases section).
In general, new feature development occurs with support for the lowest Java LTS version covered by Oracle's Premier Support (which typically lasts 5 years from initial General Availability). If the minimum required JVM for a given library is changed, it is accompanied by a semver major release.
Java 11 and (in September 2021) Java 17 are the best choices for new development.
Google tests its client libraries with all current LTS versions covered by Oracle's Extended Support (which typically lasts 8 years from initial General Availability).
Google's client libraries support legacy versions of Java runtimes with long term stable libraries that don't receive feature updates on a best efforts basis as it may not be possible to backport all patches.
Google provides updates on a best efforts basis to apps that continue to use Java 7, though apps might need to upgrade to current versions of the library that supports their JVM.
The latest versions and the supported Java versions are identified on
the individual GitHub repository github.com/GoogleAPIs/java-SERVICENAME
and on google-cloud-java.
This library follows Semantic Versioning.
Contributions to this library are always welcome and highly encouraged.
See CONTRIBUTING for more information how to get started.
Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms. See Code of Conduct for more information.
Apache 2.0 - See LICENSE for more information.
| Java Version | Status |
|---|---|
| Java 8 |  |
| Java 8 OSX |  |
| Java 8 Windows |  |
| Java 11 |  |
Java is a registered trademark of Oracle and/or its affiliates.