linkedin / isolation-forest 3.2.5

GitHub

A distributed Spark/Scala implementation of the isolation forest algorithm for unsupervised outlier detection, featuring support for scalable training and ONNX export for easy cross-platform inference.

Scala versions: 2.13 2.12

isolation-forest_2.3.0 1.0.0

Group ID:

com.linkedin.isolation-forest

Artifact ID:

isolation-forest_2.3.0_2.11

Version:

1.0.0

Release Date:

May 27, 2020

Licenses:

Files:

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Full Scala Version:

2.11.8

Developers:

James Verbus |

libraryDependencies += "com.linkedin.isolation-forest" %% "isolation-forest_2.3.0" % "1.0.0"

Mill build tool

ivy"com.linkedin.isolation-forest::isolation-forest_2.3.0:1.0.0"

Scala CLI

//> using dep "com.linkedin.isolation-forest::isolation-forest_2.3.0:1.0.0"

Ammonite REPL

import $ivy.`com.linkedin.isolation-forest::isolation-forest_2.3.0:1.0.0`

<dependency>
  <groupId>com.linkedin.isolation-forest</groupId>
  <artifactId>isolation-forest_2.3.0_2.11</artifactId>
  <version>1.0.0</version>
</dependency>

compile group: 'com.linkedin.isolation-forest', name: 'isolation-forest_2.3.0_2.11', version: '1.0.0'

linkedin / isolation-forest 3.2.5

isolation-forest_2.3.0 1.0.0

Documentation

Try online with Scastie

8 Dependencies

No Dependent