CloudForest
gobrain
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| CloudForest | gobrain | |
|---|---|---|
| 4 | - | |
| 735 | 550 | |
| - | 0.7% | |
| 0.0 | 0.0 | |
| about 2 years ago | over 3 years ago | |
| Go | Go | |
| GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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
gobrain
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Tracking mentions began in Dec 2020.
What are some alternatives?
libsvm - libsvm go version
go-galib - Genetic Algorithms library written in Go / golang
gago - :four_leaf_clover: Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)
goml - On-line Machine Learning in Go (and so much more)
Gorgonia - Gorgonia is a library that helps facilitate machine learning in Go.
shield - Bayesian text classifier with flexible tokenizers and storage backends for Go
goRecommend - Collaborative Filtering (CF) Algorithms in Go!
goga - Golang Genetic Algorithm
bayesian - Naive Bayesian Classification for Golang.
NEUGO