CloudForest VS GoLearn

Compare CloudForest vs GoLearn and see what are their differences.

CloudForest

Ensembles of decision trees in go/golang. (by ryanbressler)

GoLearn

Machine Learning for Go (by sjwhitworth)
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CloudForest GoLearn
4 3
735 9,228
- -
0.0 0.0
over 2 years ago 6 months ago
Go Go
GNU General Public License v3.0 or later MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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

Posts with mentions or reviews of CloudForest. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-12.
  • Trinary Decision Trees for missing value handling
    2 projects | news.ycombinator.com | 12 Sep 2023
    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
    1 project | /r/golang | 22 Sep 2022
    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
    2 projects | /r/MachineLearning | 19 Jul 2021
    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

GoLearn

Posts with mentions or reviews of GoLearn. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-06.

What are some alternatives?

When comparing CloudForest and GoLearn you can also consider the following projects:

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)

sklearn - bits of sklearn ported to Go #golang

go-galib - Genetic Algorithms library written in Go / golang

goml - On-line Machine Learning in Go (and so much more)

gobrain - Neural Networks written in go

neural-go - A multilayer perceptron network implemented in Go, with training via backpropagation.

shield - Bayesian text classifier with flexible tokenizers and storage backends for Go

gosseract - Go package for OCR (Optical Character Recognition), by using Tesseract C++ library

randomforest - Random Forest implementation in golang

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
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Did you konow that Go is
the 4th most popular programming language
based on number of metions?