ddt
go-galib
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ddt
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Ask HN: What are some tools / libraries you built yourself?
DDT allows building custom decision trees based in a set of defined rules, programmatically or from json.
When making a decision, it allows adding a pre-processing stage to the input before comparing it with the following possible branches of the tree.
https://github.com/sgrodriguez/ddt
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What is your “I don't care if this succeeds” project?
https://github.com/sgrodriguez/ddt a decision tree lib in golang for building custom rules decision tree. It allows adding a pre-processing stage to the input before comparing it with the following possible branches of the tree. One of the default preprocessing stages in ddt is calling a method of a struct (CallStructMethod) and getting the attribute of a struct (GetStructAttribute) using reflection, so you can have a struct user with some methods and attributes and build a tree asking question about the user.
go-galib
We haven't tracked posts mentioning go-galib yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
fonet - fonet is a deep neural network package for Go.
go-fann - Go bindings for FANN, library for artificial neural networks
go-pr - Pattern recognition package in Go lang.
gago - :four_leaf_clover: Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)
m2cgen - Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
gobrain - Neural Networks written in go
gutenberg - A fast static site generator in a single binary with everything built-in. https://www.getzola.org
libsvm - libsvm go version
goml - On-line Machine Learning in Go (and so much more)
goga - Golang Genetic Algorithm