Mahout Introductory Guide to the Mahout stand-alone recommendation algorithmI recently in the study of Mahout, online to find some information on the entry, found that the collation of the more chaotic. Toss a few, and finally got it clear. To get beginners started faster, decide to summarize and share and write this introductory guide.What is
The itembased algorithm based on MahoutIn fact, Mahout distributed only partially implemented the algorithm. For example, the recommendation algorithm item-based and Slopone have Hadoop implementation and single-machine version implementation, user-based no distributed implementation.Mahout implemented algorithms (standalone and distributed editions)Https://mahout.apache.org/users/basics/algorithms.htmlIn m
Error:error:could not find Mahout-examples-*.job in/home/grid/mahout-distribution-0.8 Or/home/grid/ Mahout-distribution-0.8/examples/target, please run the "mvn install" to create the. Job FileProblem Analysis:is because the source package is downloaded and itsExamples/target directory does not contain example jar package, in fact, its error also prompted, can be
Document directory
3. installation steps:
How to install mahout in ubuntu10.04
After one or two days of familiarity, I have mastered mahout installation. The following describes the installation steps, as shown in the figure.
1 software requirements:
1. jdk-6u27-linux-i586.bin
2. apache-maven-2.2.1-bin.tar.gz
3. hadoop-0.20.204.0.tar.gz (do not use the late
As developers of it, we have to keep up with the rhythm, seize the opportunity, and follow Hadoop together.
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Objective
Preface
Mahout is a distinctive Member of the hadoop family and a distributed computing framework based on hadoop machine learning and data mining. Mahout is an interdisciplinary product and one of the projects that I think are the most competitive, difficult to master, and worth learning among the
Mahout configuration took a lot of time, mainly because it wasted a lot of time on some small issues.
1. Download mahout
: Http://mahout.apache.org
The latest version I downloaded: mahout-distribution-0.9
2. Unzip mahout to the file you want to store. I put it in the/users/Jia/documents/
1. What is mahout?
Mahout is an open-source project (http://mahout.apache.org/) of Apache that provides several classic algorithms in the machine learning field, allowing developers to quickly build machine learning and data mining applications.
Mahout is based on hadoop. The name is also very interesting.
Mahout is a powerful data mining tool that is a collection of distributed machine learning algorithms, including: implementation, classification, clustering of distributed collaborative filtering called taste. Mahout The biggest advantage is based on Hadoop implementation, a lot of previously run on a single-machine algorithm, converted to MapReduce mode, which g
ObjectiveMahout is a unique member of the Hadoop family and is based on a distributed computing framework for machine learning and data mining in Hadoop. Mahout is an interdisciplinary product and one of the most competitive, hard-to-learn, and most rewarding projects I think the Hadoop family has to offer.Mahout is a
First of all, the files processed in mahout must be in the sequencefile format. Therefore, you need to convert txtfile to sequencefile. Sequencefile is a class in hadoop that allows us to write binary key-value pairs to the file. For more information, see the http://www.hadoopor.com/viewthread.php written by eyjian? Tid = 144 Highlight = sequencefileMahout provides a method to convert a file under a specif
Because we need to use data mining in cloud computing, we simply look at the mahout configuration. mahout is a machine learning platform based on MAP/reduce.AlgorithmLibrary, run on the hadoop Cluster
The configuration process is as follows:
1. Download mahout-distribution-0.4.tar.gz to
The previous article introduced the open source data mining software Weka to do Association rules mining, Weka convenient and practical, but can not handle large data sets, because the memory is not fit, give it more time is useless, so need to carry out distributed computing, Mahout is a based on Hadoop Cloth Data Mining Open source project (Mahout originally re
1. Version and Installation pathUbuntu 14.04mahout_home=/opt/mahout-0.10.1Hadoop_home=/usr/local/hadoopmavent_home=/opt/apache-mavent-3.3.3Hadoop version=2.6.0Mahout version=0.10.1Mavent version=3.3.32.Mahout RecompileMahout Download: http://archive.apache.org/dist/mahout/Need to recompile when used on Hadoop above ver
machine learning software that provides application recommendations, clustering, classification, Logistic regression analysis and other algorithms. In particular, because of the combination of Hadoop's large data processing capabilities, each algorithm can be deployed as a standalone job conveniently on the Hadoop platform, so it has become more and more widely used. In the field of clustering, Mahout prov
I. Introduction of Mahout
Mahout is an open-source machine learning package under Apache, and the currently implemented machine learning algorithms mainly include collaborative filtering/Recommendation engines , clustering and classification of three parts. Mahout has been designed to build scalable machine learning packages to deal with big data machine learnin
Mahout Advanced Course, net Disk download: Link: http://pan.baidu.com/s/1dDGPM4x Password: PQDKPlease add qq:3113533060 if the net disk is invalid.Course Outline:First weekMahout OverviewMahout InstallationMahout Installation TestIntroduction to the Mahout algorithm libraryAnalytic Clustering algorithmAnalytic classification algorithmCollaborative filtering algorithmSecond weekClustering algorithm DetailedI
following: Change the red box inside the Mapred-default.xml, yarn-default.xml such as the following configuration (Node33 is a pseudo-distributed Hadoop cluster machine name) : Mapred-default.xml:Yarn-default.xml:Note that the path to the classpath is the corresponding path to the cluster. There is a new Yarnrunner file, reference: http://blog.csdn.net/fansy1990/article/details/27526167. First of all this test, see if you can connect to the cluster (
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