A distributed Spark/Scala implementation of the isolation forest algorithm for unsupervised outlier detection, featuring support for scalable training and ONNX export for seamless cross-platform inference.
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Added Scala version selection via build parameter. #16
I added the capability to specify the Scala build version using the build parameter scalaVersion. This will now allow us to build using Scala 2.12, which has been requested here: https://github.com/linkedin/isolation-forest/issues/14
Currently, only one build is released using Shipkit. Once Shipkit supports releasing multiple builds under the same version, we will automatically publish the artifacts from all builds. I submitted a request for this Shipkit enhancement a while back:
In the meantime, I still want Travis CI to build multiple versions with Spark 2.3.0, Spark 2.4.2, Scala 2.11, Scala 2.12, etc. to verify they all build successfully. I modified the .travis.yml file to achieve this. The builds are done in parallel:
I added the capability to specify the Scala build version using the build parameter scalaVersion. This will now allow us to build using Scala 2.12, which has been requested here: https://github.com/linkedin/isolation-forest/issues/14
Currently, only one build is released using Shipkit. Once Shipkit supports releasing multiple builds under the same version, we will automatically publish the artifacts from all builds. I submitted a request for this Shipkit enhancement a while back:
https://github.com/mockito/shipkit/issues/858
In the meantime, I still want Travis CI to build multiple versions with Spark 2.3.0, Spark 2.4.2, Scala 2.11, Scala 2.12, etc. to verify they all build successfully. I modified the .travis.yml file to achieve this. The builds are done in parallel:
https://travis-ci.org/github/linkedin/isolation-forest/builds/691178714