CloudForest
libsvm
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| CloudForest | libsvm | |
|---|---|---|
| 4 | 2 | |
| 735 | 4,475 | |
| - | - | |
| 0.0 | 4.5 | |
| about 2 years ago | 9 months ago | |
| Go | Java | |
| GNU General Public License v3.0 or later | BSD 3-clause "New" or "Revised" License |
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Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
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
libsvm
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[D] Is there a term for this kind of "grid search" in literature?
If you want to see a particular implementation of it, check out the well known libsvm library (https://www.csie.ntu.edu.tw/~cjlin/libsvm/) which will do it for you. Look for grid.py (https://github.com/cjlin1/libsvm/blob/master/tools/grid.py)
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libsvm++ : Rewritten libsvm with newer C++
The most famous library for Support Vector Machine (SVM) algorithm is libsvm (https://github.com/cjlin1/libsvm/), but I felt that its code style is too old, I rewrote in newer C++ as a hobby project.
What are some alternatives?
libsvm - libsvm go version
tfgo - Tensorflow + Go, the gopher way
gago - :four_leaf_clover: Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)
gobrain - Neural Networks written in go
Gorgonia - Gorgonia is a library that helps facilitate machine learning in Go.
go-galib - Genetic Algorithms library written in Go / golang
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
ocrserver - A simple OCR API server, seriously easy to be deployed by Docker, on Heroku as well
goga - Golang Genetic Algorithm