Edits VS LightGBM

Compare Edits vs LightGBM and see what are their differences.

LightGBM

High performance gradient boosting for Ruby (by ruby-ml)
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Edits LightGBM
0 0
2 55
- -
0.8 4.8
26 days ago 4 months ago
Ruby Ruby
MIT License 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.

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.

LightGBM

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

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

What are some alternatives?

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

weka - Machine Learning & Data Mining with JRuby

tensorflow.rb - tensorflow for ruby

XGBoost - High performance gradient boosting for Ruby

Rumale - Rumale is a machine learning library in Ruby

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

Ruby Linear Regression - Linear regression implemented in Ruby.

Scoruby - Ruby Scoring API for PMML

Eps - Machine learning for Ruby