mahout hadoop

Want to know mahout hadoop? we have a huge selection of mahout hadoop information on alibabacloud.com

Mahout Classification algorithm

Finally, we can conclude that this document belongs to the category 中国 , which is the main idea of Bayes classification algorithm implemented in Mahout.Four, Bayes classification algorithm application exampleThis experiment, still through a set of specific examples to show you.(1) /usr/local/hadoop-1.2.1 under Create a new test directory, download the test data 20news-bydate.tar.gz and unzip (this test data contains multiple newsgroup documents,

Mahout algorithm call display platform 2.1

Software Version: Windows 7: tomcat7, jdk7, spring4.0.2, struts2.3, hibernate4.3, myeclipse10.0, easyui; Linux (centos6.5): hadoop2.4, mahout1.0, jdk7; Use a web project to call related algorithms of mahout, provide monitoring, and view the task execution status. For self-built web projects, the project homepage is as follows: 1. Preparation items can be downloaded in http://download.csdn.net/detail/fansy1990/7600427 (Part 1), http://download.csdn.net

Mahout running test and Kmeans algorithm analysis

Install and start the Hadoop cluster before you use MahoutUpload the Mahout package to Linux and unzip it.MahoutClick to open linkThe algorithms in Mahout can be broadly divided into three broad categories:Clustering, collaborative filtering and classificationwhichCommon clustering algorithms are: canopy clustering, K-mean Algorithm (Kmeans), fuzzy K-mean, hierar

Mahout implementing a user-based Mahout referral program

/* * Here is a user-based Mahout referral program * Take advantage of ready-made data here. * */package byuser;import java.io.file;import java.io.ioexception;import java.util.list;import Org.apache.mahout.cf.taste.common.tasteexception;import Org.apache.mahout.cf.taste.impl.model.file.filedatamodel;import Org.apache.mahout.cf.taste.impl.neighborhood.nearestnuserneighborhood;import Org.apache.mahout.cf.taste.impl.recommender.genericuserbasedrecommender

Mahout running test and Kmeans algorithm analysis

Install and start the Hadoop cluster before you use MahoutUpload the Mahout package to Linux and unzip it.MahoutClick to open linkThe algorithms in Mahout can be broadly divided into three broad categories:Clustering, collaborative filtering and classificationwhichCommon clustering algorithms are: canopy clustering, K-mean Algorithm (Kmeans), fuzzy K-mean, hierar

Mahout 0.3: open-source machine learning project

books, music, movies, and other content to users. It can also be used in multi-user Collaboration applications to streamline the data that needs to be followed. Pattern Matching (Naive Bayes classifier-naive ve Bayes classifier and other classification algorithms) can be used to classify documents that have not been seen before. When a new document is classified, the algorithm searches for the words involved in the document in the pattern, calculates the probability that the document belongs t

"Gandalf" Win7+eclipse+maven mahout programming to make it compatible with Hadoop2.2.0 environments

files! I tried to copy a patch pom file to Windows, and then compile the mahout0.9 source code in the Windows environment, but it doesn't work, all kinds of errors. Since Mahout-core relies on only two mahout-related jar packages,Mahout-core-0.9.jar and Mahout-math-0.9.jar , so we only need to overwrite the two jar pa

Installation of Mahout

Installation of MahoutMahout is an advanced application of Hadoop. Running mahout requires a pre-installed hadoop,mahout to install only one of the Namenode nodes on the Hadoop cluster, no installation on other data nodes1. Download2. Configure Environment variables3.

Installation of mahout-0.7-cdh4.5.0

1. Download mahout: http://archive.cloudera.com/cdh4/cdh/4/mahout-0.7-cdh4.6.0.tar.gz2, extract: mahout-0.7-cdh4.5.0.tar.gz3, renamed: Music mahout-0.7-cdh4.5.0 mahout4. Add the environment variable/tec/profile:Export MAHOUT_HOME =/usr/local/mahoutExport CLASSPATH =.: $ CLASSPATH: $ MAHOUT_HOME/libExport PATH = $ PATH:

Mahout---random forest algorithm example

19,1.51911,13.90,3.73,1.18,72.12,0.06,8.89,0.00,0.00,1 20,1.51735,13.02,3.54,1.69,72.73,0.54,8.44,0.00,0.07,1 21,1.51750,12.82,3.55,1.49,72.75,0.54,8.52,0.00,0.19,1 22,1.51966,14.77,3.75,0.29,72.02,0.03,9.00,0.00,0.00,1 23,1.51736,12.78,3.62,1.29,72.79,0.59,8.70,0.00,0.00,1 Step 2:Execute the command on the NODE11 node to create the sample file Vi/opt/apps/mahout/apache-mahout-distribution-0.10.2/test/gla

Mahout: 1-> Configuration, recommenderintro, resource reference

Configuration: Maven: Download, configuration, used to compile mahout In the mahout directory MVN install Eclipse: Import jars and compile the test example. Hadoop: distributed Mahout: Download, configure/etc/profile Recommendation System instance: 1. Create a Java project and a new class test 2. Refer

Convert Lucene index to mahout input vector

Mahout Lucene. vector -- DIR/home/test-in/index/-- output/home/test-in/outdex/part-out.vec -- field body -- dictout/home/test- in/outdex/dict. out Problem 1: Version problem ("exception in thread" Main "org. Apache. Lucene. Index. corruptindexexception: Unknown format version:-11" as an error .)A: I have been checking this question for a long time. In fact, this question has been explicitly raised on the official website (For details, refer to referen

The path to Hadoop learning (i)--hadoop Family Learning Roadmap

The main introduction to the Hadoop family of products, commonly used projects include Hadoop, Hive, Pig, HBase, Sqoop, Mahout, Zookeeper, Avro, Ambari, Chukwa, new additions include, YARN, Hcatalog, O Ozie, Cassandra, Hama, Whirr, Flume, Bigtop, Crunch, hue, etc.Since 2011, China has entered the era of big data surging, and the family software, represented by

How to install and configure Apache mahout in Linux

example. Input data set. Download itHere. Click here to download the dataset synthetic_control.data. Put the dataset synthetic_control.data under the mahout_home directory. (Note: You must put the dataset in this directory; otherwise, an exception is reported) 2: Start hadoop: $ hadoop_home/bin/start-all.sh 3: Create the test directory testdata and import the data to the tastdata directory (the directory name here can only be testdata) $ hadoop_ho

Simple implementation of MAHOUT recommendations

:650) this.width=650; "src=" http://s3.51cto.com/wyfs02/M02/73/70/wKiom1X9v0yi8Xh5AACdpIO6Hoo423.jpg "style=" float: none; "title=" qq20150919155952.jpg "alt=" Wkiom1x9v0yi8xh5aacdpio6hoo423.jpg "/>650) this.width=650; "src=" http://s3.51cto.com/wyfs02/M00/73/6D/wKioL1X9wYmQ9DZkAACEc_cBy_k194.jpg "style=" float: none; "title=" qq20150919160018.jpg "alt=" Wkiol1x9wymq9dzkaacec_cby_k194.jpg "/>Now that we know how to build the simplest Mahout recommenda

Windows + Eclipse Build mahout Run environment

The full operation of the mahout is still supported by Hadoop, but many of the algorithms only need to be able to add the Hadoop jar package to classpath to work properly.For example, when we use logisticmodelparameters , we refer to the packageJava code Importorg.apache.hadoop.io.Writable; Import org.apache.hadoop.io.Writable;According to the prev

Configure and use mahout in eclipse

Mahout is an open-source software designed to provide scalability algorithms for actual problems. Official homepage: http://mahout.apache.org/ Quickstart: https://cwiki.apache.org/confluence/display/MAHOUT/Quickstart The current version is 0.4. This example shows how to configure and apply mahout to your program in eclipse. Environment: Eclipse + Maven (m2eclip

Mahout Cluster instances

1. The data set P04-17.csv K-means, canopy, fuzzy kmeans clustering, attention to data conversion. Replace the comma in the P04-17.csv dataset with a space to meet the requirements of org.apache.mahout.clustering.conversion.InputDriver Hadoop FS-MKDIR/USER/KEVIN/MAHOUT6 Hadoop FS-COPYFROMLOCAL/HOME/KEVIN/DATAGURU/P04-17.TXT/USER/KEVIN/MAHOUT6 Data conversion Mahout

Mahout in aciotn

Mahout in aciotn Jack Zhang is from the pioneer tribe. QQ: 248087140. welcome to join us! This article welcomes reprint, reprint please indicate the source of http://my.oschina.net/u/1866370/blog/287907 I. Java and IDE (omitted) Ii. MAVEN (Omitted) III. mahout Development Environment Construction 1, mahout Official Website: http://mahout.apache.org/ 2,

Mahout source code meanshiftcanopydriver Analysis 3 meanshiftcanopyreducer data logic Flow

First, paste the imitation code of meanshiftcanopyreducer, as follows: Package mahout. fansy. meanshift; import Java. io. ioexception; import Java. util. collection; import Java. util. hashmap; import Java. util. map; import Org. apache. hadoop. conf. configuration; import Org. apache. hadoop. FS. filesystem; import Org. apache.

Total Pages: 15 1 .... 3 4 5 6 7 .... 15 Go to: Go

Contact Us

The content source of this page is from Internet, which doesn't represent Alibaba Cloud's opinion; products and services mentioned on that page don't have any relationship with Alibaba Cloud. If the content of the page makes you feel confusing, please write us an email, we will handle the problem within 5 days after receiving your email.

If you find any instances of plagiarism from the community, please send an email to: info-contact@alibabacloud.com and provide relevant evidence. A staff member will contact you within 5 working days.

A Free Trial That Lets You Build Big!

Start building with 50+ products and up to 12 months usage for Elastic Compute Service

  • Sales Support

    1 on 1 presale consultation

  • After-Sales Support

    24/7 Technical Support 6 Free Tickets per Quarter Faster Response

  • Alibaba Cloud offers highly flexible support services tailored to meet your exact needs.