CloudForest
regommend
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| CloudForest | regommend | |
|---|---|---|
| 4 | - | |
| 735 | 310 | |
| - | - | |
| 0.0 | 0.0 | |
| about 2 years ago | over 4 years ago | |
| Go | Go | |
| GNU General Public License v3.0 or later | GNU Affero General Public License v3.0 |
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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
regommend
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Tracking mentions began in Dec 2020.
What are some alternatives?
libsvm - libsvm go version
GoLearn - Machine Learning for Go
gago - :four_leaf_clover: Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)
gobrain - Neural Networks written in go
goga - Golang Genetic Algorithm
go-galib - Genetic Algorithms library written in Go / golang
go-pr - Pattern recognition package in Go lang.
shield - Bayesian text classifier with flexible tokenizers and storage backends for Go
neural-go - A multilayer perceptron network implemented in Go, with training via backpropagation.