Installation
Metarank is available as a Docker and JAR packages for MacOS, Windows and Linux.
Docker image
Metarank docker images are published on DockerHub as metarank/metarank:
official Metarank images are multi-arch and support both amd64 and arm64/v8 (so will natively work on Mac M1/M2 without emulation).
latest
tag may point to pre-release versions, use an exact pinned version for stability.on Mac M1 you can use x86_64 docker images, or try running the JAR file directly.
To start using metarank with docker, just run:
JAR File
Metarank is a JVM application and also available as a JAR application on Releases page. As it bundles a couple of native libraries (interfaces to LightGBM and XGBoost), it supports the following platforms and operating systems:
Linux: x86_64/AArch64, JVM 11+
Windows: x86_64, Windows 10+, JVM 11+
MacOS: x86_64/AArch64, MacOS 11+, JVM 11+
To start metarank JAR file, just run:
Java
To run JVM applications, you need the JVM itself. If you have no JRE/JDK installed, check out the Eclipse Temurin JDK tutorials for different operating systems.
Metarank is tested on JDK 11 and 17, but will probably work on 18+. JDK 8, 9, 10 are not supported.
Installing on MacOS
Metarank JAR app requires a libomp to be installed:
Without libomp you may encounter a strange UnsatisfiedLinkError while training the model:
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