gago
CloudForest
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| gago | CloudForest | |
|---|---|---|
| 1 | 4 | |
| 869 | 735 | |
| - | - | |
| 0.0 | 0.0 | |
| about 1 year ago | about 2 years ago | |
| Go | Go | |
| MIT License | GNU General Public License v3.0 or later |
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gago
CloudForest
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Trinary Decision Trees for missing value handling
I implemented something like this in a [pre xgboost boosting framework](https://github.com/ryanbressler/CloudForest) ~10 years ago and it worked well.
It isn't even that much of a speed hit using the classical sorting CART implementation. However xgboost and ligthgbm use histogram based approximate sorting which might be harder to adapt in a performant way. And certainly the code will be a lot messier.
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Future of Golang
Personally, my Go-to ML tool for tabular data is here: https://github.com/ryanbressler/CloudForest
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[D] Best methods for imbalanced multi-class classification with high dimensional, sparse predictors
The best method i've seen for dealing with this bias is to create "artificial contrasts" by including possibly many permutated copies of each feature and then doing a statistical test of the random forest importance values for each feature vs its shuffled contrasts. This method is described here: https://www.jmlr.org/papers/volume10/tuv09a/tuv09a.pdf and there is an implementation here: https://github.com/ryanbressler/CloudForest
What are some alternatives?
go-galib - Genetic Algorithms library written in Go / golang
libsvm - libsvm go version
goga - Golang Genetic Algorithm
gobrain - Neural Networks written in go
gosseract - Go package for OCR (Optical Character Recognition), by using Tesseract C++ library
shield - Bayesian text classifier with flexible tokenizers and storage backends for Go
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
regommend - Recommendation engine for Go
Gorgonia - Gorgonia is a library that helps facilitate machine learning in Go.