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spark
- MLlib 是spark 机器学习的库，它的目标是使机器学习算法能更容易上手。这个库包含通用学习算法和工具集，包括：分类，回归，聚类，协同过滤，降维，以及深层优化策略和上层管道API（pipeline）.-MLlib is spark machine learning library, which aims to make a machine learning algorithm can be more easy to use. This library contains a common se
决策树（java）variance 回归
- mllib调用决策树的java代码，希望对大家有帮助(Mllib calls the Java code of the decision tree)
SPARK
- spark 图书 SPARK MLLIB机器学习 算法、源码及实战详解 ,黄美灵著 ,P392.pdf(Machine learning algorithms, source code and actual combat detailed, Huang Meiling)
Spark MLlib机器学习实践 源代码
- Spark MLlib机器学习实践 源代码(Source code for Spark MLlib machine learning practice)
learning-spark-master
- 将逻辑回归应用于二元分类的情况。这里以垃圾邮件分类为例，即是否为垃圾邮件两种情况。然后，根据词频把每个文件中的文本转换为特征向量，训练出一个可以把两类消息分开的逻辑回归模型，判断输入测试语句是否为垃圾邮件。(Spark MLlib (Java): Input: spam.txt; normal.txt; text sentence. Output:1.0(spam), 0.0(normal email))
spark
- spark大数据，这是一本介绍spark相关知识的好书籍，希望大家喜欢！(Apache Spark is a fast and general-purpose cluster computing system. It provides high-level APIs in Java, Scala, Python and R, and an optimized engine that supports general execution graphs. It also supports a ric