evotrees jl

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

Quick description about evotrees jl:

A Julia implementation of boosted trees with CPU and GPU support. Efficient histogram-based algorithms with support for multiple loss functions, including various regressions, multi-classification and Gaussian max likelihood.

Features:

• Data consists of randomly generated Matrix{Float64}
• Training is performed on 200 iterations
• Model training is performed using fit_evotree
• It supports additional keyword arguments to track evaluation metric and perform early stopping
• When using a DataFrames as input, features with elements types Real (incl. Bool) and Categorical are automatically recognized as input features
• Returns the normalized gain by feature

Programming Language: Julia.
Categories: