sklearn VS randomforest

Compare sklearn vs randomforest and see what are their differences.

sklearn

bits of sklearn ported to Go #golang (by pa-m)

randomforest

Random Forest implementation in golang (by malaschitz)
Our great sponsors
  • Scout APM - Less time debugging, more time building
  • SonarQube - Static code analysis for 29 languages.
  • JetBrains - Developer Ecosystem Survey 2022
sklearn randomforest
0 1
307 22
- -
0.0 2.5
almost 2 years ago 9 months ago
Go Go
MIT License Apache License 2.0
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.

sklearn

Posts with mentions or reviews of sklearn. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning sklearn yet.
Tracking mentions began in Dec 2020.

randomforest

Posts with mentions or reviews of randomforest. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing sklearn and randomforest you can also consider the following projects:

GoLearn - Machine Learning for Go

libsvm - libsvm go version

m2cgen - Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

Gorgonia - Gorgonia is a library that helps facilitate machine learning in Go.

go-fann - Go bindings for FANN, library for artificial neural networks

gorse - An open source recommender system service written in Go

onnx-go - onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library.

neat

go-cluster - k-modes and k-prototypes clustering algorithms implementation in Go

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

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