Java Library

Similar to our Python library, we offer a Java client to instrument your machine learning model and track experiments. This library consists of two simple classes that are used as a wrapper around the Python Library.
You can find the source code for the Java Client in the Github repository.
Our Java integration is still in Beta, if you run into issues please let us know!
WandbRun.Builder
WandbRun
Installation
1.Install the latest version of the wandb Python client: pip install wandb[grpc] --upgrade
2.Simply include the Wandb jar file in your Java Project.
Maven: this can be included by adding the jar file to your pom.xml file.
Using maven repository:
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<dependency>
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    <groupId>com.wandb.client</groupId>
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    <artifactId>client-ng-java</artifactId>
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    <version>1.0-SNAPSHOT</version>
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</dependency>
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Or you can download the jar file directly from the Github Package:
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<dependencies>
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    <dependency>
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        <groupId>com.wandb.client</groupId>
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        <artifactId>client-ng-java</artifactId>
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        <version>1.0-SNAPSHOT</version>
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        <scope>system</scope>
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        <systemPath>/root/path/to/jar/file.jar</systemPath>
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    </dependency>
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</dependencies>
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WandbRun

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Contents

Installation