Merge pull request #20 from kunpengcompute/Danliran-patch-2

Add breeze discription to readme

README.md

@@ -5,7 +5,7 @@
 Introduction
 ============
 
-MACHINE LEARNING Algorithm library, running on KUNPENG chipset, is an accelerated library that provides a rich set of higher-level tools for machine learning algorithms. It is based on the original APIs from Apache Spark version 2.3.2. The accelerated library for performance optimization greatly improves the computational performance of big data algorithm scenarios.
+MACHINE LEARNING Algorithm library, running on KUNPENG chipset, is an accelerated library that provides a rich set of higher-level tools for machine learning algorithms. It is based on the original APIs from Apache [Spark 2.3.2](https://github.com/apache/spark/tree/v2.3.2) and [breeze 0.13.1](https://github.com/scalanlp/breeze/tree/releases/v0.13.1). The accelerated library for performance optimization greatly improves the computational performance of big data algorithm scenarios.
 
 The current version provides three common learning algorithms: Support Vector Machine (SVM) Algorithm, Random Forest Classifier (RFC) algorithm, and Gradient Boosting Decision Tree (GBDT) algorithm. 
 You can find the latest documentation, including a programming guide, on the project web page. This README file only contains basic setup instructions.