CloudForest
shield
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| CloudForest | shield | |
|---|---|---|
| 4 | - | |
| 735 | 156 | |
| - | - | |
| 0.0 | 0.0 | |
| about 2 years ago | about 4 years ago | |
| Go | Go | |
| GNU General Public License v3.0 or later | MIT License |
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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
shield
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Tracking mentions began in Dec 2020.
What are some alternatives?
libsvm - libsvm go version
Gorgonia - Gorgonia is a library that helps facilitate machine learning in Go.
gago - :four_leaf_clover: Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)
gobrain - Neural Networks written in go
EAGO
go-galib - Genetic Algorithms library written in Go / golang
go-deep - Artificial Neural Network
goga - Golang Genetic Algorithm
bayesian - Naive Bayesian Classification for Golang.
go-pr - Pattern recognition package in Go lang.