README.md in svmkit-0.3.2 vs README.md in svmkit-0.3.3

- old
+ 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: