ddt
fonet
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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.
fonet
We haven't tracked posts mentioning fonet yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
go-galib - Genetic Algorithms library written in Go / golang
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
go-pr - Pattern recognition package in Go lang.
go-cluster - k-modes and k-prototypes clustering algorithms implementation in Go
bayesian - Naive Bayesian Classification for Golang.
gutenberg - A fast static site generator in a single binary with everything built-in. https://www.getzola.org
neural-go - A multilayer perceptron network implemented in Go, with training via backpropagation.
gobrain - Neural Networks written in go
Gorgonia - Gorgonia is a library that helps facilitate machine learning in Go.
goga - Golang Genetic Algorithm
regommend - Recommendation engine for Go