We have hosted the application mljbase jl in order to run this application in our online workstations with Wine or directly.


Quick description about mljbase jl:

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:
Frameworks, Data Visualization

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