windows – apache mahout ALS可以在没有hadoop的情况下工作吗？

“Apache Mahout is one of the first and most prominent Big Data machine
learning platforms. It implements machine learning algorithms on top
of distributed processing platforms such as Hadoop and Spark.”

-Tiwary,C.(2015). Learning Apache Mahout.

Apache Spark是一个开源的,内存中的通用计算系统,可在Windows和Unix系统上运行. Spark使用集群内存将所有数据上传到内存中,而不是像Hadoop一样的基于磁盘的计算,可以重复查询这些数据.

“As Spark is gaining popularity among data scientists,the Mahout
community is also quickly working on making Mahout algorithms function
on Spark’s execution engine to speed up its calculation 10 to 100
times faster. Mahout provides several important building blocks to
create recommendations using Spark.”

-Gupta,A(2015). Learning Apache Mahout Classification.

(这本最后一本书还提供了一个分步指南使用Mahout的Spark shell(它们不使用Windows,但不清楚它们是否使用Hadoop).有关该主题的更多信息,请参阅https://mahout.apache.org/users/sparkbindings/play-with-shell.html的实现部分. .)

除此之外,您还可以使用Spark构建推荐引擎,例如Spark MLlib中提供的DataFrames,RDD,Pipelines和Transforms以及

in Spark,(…) the Alternating Least Squares (07004) method?is used for
generating model-based collaborative filtering.

-Gorakala,S.(2016年). Building Recommendation Engines.

在这一点上,在回答你的问题之前还有一个问题需要回答：can we run Spark without Hadoop?.

所以,是的,可以在Windows上使用Spark(没有Hadoop)使用ALS方法.