Utility package for scoring models in data science and machine learning. This toolset is written in Julia for blazing fast performance.
|Package Status||Package Evaluator||Build Status|
mean_squared_error([1.0, 2.0], [1.0, 1.0]) accuracy([1, 1, 1, 0], [1, 0, 1, 1])
For a much more detailed treatment check out the latest documentation
Additionally, you can make use of Julia's native docsystem. The
following example shows how to get additional information on
accuracy within Julia's REPL:
Not yet registered. WIP
This code is free to use under the terms of the MIT license.
The original author of
MLMetrics was @Paul Hendricks.
Since then the package has been extensively refactored and is now
maintained by the JuliaML community.