XGBoost VS Edits

Compare XGBoost vs Edits and see what are their differences.

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XGBoost Edits
- -
98 2
- -
5.6 0.0
4 months ago over 1 year ago
Ruby Ruby
Apache License 2.0 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.

XGBoost

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

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

Edits

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

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

What are some alternatives?

When comparing XGBoost and Edits you can also consider the following projects:

weka - Machine Learning & Data Mining with JRuby

Rumale - Rumale is a machine learning library in Ruby

LightGBM - High performance gradient boosting for Ruby

ruby-dnn - ruby-dnn is a ruby deep learning library.

Eps - Machine learning for Ruby

Ruby Linear Regression - Linear regression implemented in Ruby.

rb-libsvm - Ruby language bindings for LIBSVM

Ruby Datumbox Wrapper - Simple Ruby Datumbox Wrapper

Scoruby - Ruby Scoring API for PMML