README.md in svmkit-0.3.2 vs README.md in svmkit-0.3.3
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+ new
@@ -6,10 +6,10 @@
[![BSD 2-Clause License](https://img.shields.io/badge/License-BSD%202--Clause-orange.svg)](https://github.com/yoshoku/SVMKit/blob/master/LICENSE.txt)
SVMKit is a machine learninig library in Ruby.
SVMKit provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
SVMKit currently supports Linear / Kernel Support Vector Machine,
-Logistic Regression, Factorization Machine, Naive Bayes, Decision Tree, Random Forest,
+Logistic Regression, Ridge, Lasso, Factorization Machine, Naive Bayes, Decision Tree, Random Forest,
K-nearest neighbor classifier, and cross-validation.
## Installation
Add this line to your application's Gemfile: