Ruby Linear Regression VS Edits

Compare Ruby Linear Regression vs Edits and see what are their differences.

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Ruby Linear Regression Edits
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52 2
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0.0 0.0
over 5 years ago over 1 year 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.

Ruby Linear Regression

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

We haven't tracked posts mentioning Ruby Linear Regression 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 Ruby Linear Regression and Edits you can also consider the following projects:

Rumale - Rumale is a machine learning library in Ruby

tensorflow.rb - tensorflow for ruby

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

Eps - Machine learning for Ruby

XGBoost - High performance gradient boosting for Ruby

weka - Machine Learning & Data Mining with JRuby

rb-libsvm - Ruby language bindings for LIBSVM

Ruby Datumbox Wrapper - Simple Ruby Datumbox Wrapper

LightGBM - High performance gradient boosting for Ruby

Scoruby - Ruby Scoring API for PMML