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sparkml's Introduction

SparkML

 基于spark的机器学习项目，采用的工具是jupyter是为例方便代码运行和过程的描述。

目录介绍

  • data／ －－机器学习调用的数据
  • example／ －－项目中使用的例子源码
  • 数学基础／ －－包含了机器学习使用到的数学知识
  • 矩阵与向量／ －－机器学习使用的数据类型
  • spark_kernel安装.md －－ jupyter 安装 Spark 的支持,方便算法描述和解释
  • xxxxx／ －－其它目录看名称基本可以理解

Spark MLlib 介绍

Spark机器学习库有两套API，ml和mllib,其中Spark.ml使用的数据类型是DataFrame，而spark.mllib使用的是RDD，目前spark会一直保留基于RDD的mllib 但是不会再新增新的功能 （等spark.ml可以覆盖大部分的特性，spark.mllib 将会被废弃）

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