regommend
CloudForest
Our great sponsors
| regommend | CloudForest | |
|---|---|---|
| - | 4 | |
| 310 | 735 | |
| - | - | |
| 0.0 | 0.0 | |
| over 4 years ago | about 2 years ago | |
| Go | Go | |
| GNU Affero General Public License v3.0 | GNU General Public License v3.0 or later |
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.
regommend
We haven't tracked posts mentioning regommend yet.
Tracking mentions began in Dec 2020.
CloudForest
-
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.
-
Future of Golang
Personally, my Go-to ML tool for tabular data is here: https://github.com/ryanbressler/CloudForest
-
[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?
GoLearn - Machine Learning for Go
libsvm - libsvm go version
gago - :four_leaf_clover: Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)
goga - Golang Genetic Algorithm
gobrain - Neural Networks written in go
go-pr - Pattern recognition package in Go lang.
go-galib - Genetic Algorithms library written in Go / golang
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.