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Interpretable Machine Learning with SymbolicRegression.jl | Miles
Interpretable Machine Learning with SymbolicRegression.jl | Miles Cranmer | JuliaCon 2023
#Interpretable #Machine #Learning #SymbolicRegression.jl #Miles
“The Julia Programming Language”
SymbolicRegression.jl is a state-of-the-art symbolic regression library written from scratch in Julia using a custom evolutionary algorithm. The software emphasizes high-performance distributed computing, and can find arbitrary symbolic expressions to optimize a user-defined objective – thus…
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