This is the Linux app named MLJBase.jl whose latest release can be downloaded as v1.8.2sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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MLJBase.jl
DESCRIPTION
Repository for developers that provides core functionality for the MLJ machine learning framework. MLJ is a Julia framework for combining and tuning machine learning models. This repository provides core functionality for MLJ.
Features
- Completing the functionality for methods defined "minimally" in MLJ's light-weight model interface MLJModelInterface (/src/interface)
- Definition of machines and their associated methods, such as fit! and predict/transform (src/machines)
- MLJ's model composition interface, including learning networks, pipelines, stacks, target transforms (/src/composition)
- Basic utilities for manipulating datasets and for synthesizing datasets (src/data)
- Small interface for resampling strategies and implementations, including CV(), StratifiedCV and Holdout (src/resampling.jl)
- Methods for performance evaluation, based on those resampling strategies (src/resampling.jl)
Programming Language
Julia
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/mljbase-jl.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
