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mahout安装配置

2024-07-15 13:12:02   223人阅读

前言：配置mahout花了挺多时间的，主要是在一些小的问题上浪费了很多时间。

1.下载mahout

   下载地址：http://mahout.apache.org

    我下载的最新版：mahout-distribution-0.9

2.把mahout解压到你想存放的文档，我是放在/Users/jia/Documents/hadoop-0.20.2，即hadoop的安装目录上。

3.为mahout配置环境

   打开终端，打开profile文件所在的目录

JIAS-MacBook-Pro:~ jia$ open /etc

   把profile文件复制到桌面，然后编辑，在它后面加入环境变量

export JAVA_HOME=/Library/Java/JavaVirtualMachines/jdk1.8.0.jdk/Contents/Homeexport HADOOP_HOME=Documents/hadoop-0.20.2export MAHOUT_HOME=Documents/hadoop-0.20.2/mahout-distribution-0.9export MAVEN_HOME=Documents/apache-maven-3.2.2export PATH=$PATH:$JAVA_HOME/bin:$HADOOP_HOME/bin:$MAVEN_HOME/bin:$MAHOUT_HOME/binexport HADOOP_CONF_DIR=Documents/hadoop-0.20.2/confexport MAHOUT_CONF_DIR=Documents/hadoop-0.20.2/mahout-distribution-0.9/confexport classpath=$classpath:$JAVA_HOME/lib:$MAHOUT_HOME/lib:$HADOOP_CONF_DIR:$MAHOUT_CONF_DIR

    然后把桌面上的profile文件覆盖/etc上的profile，期间要输入管理员密码

    注意：

 配置MAHOU_CONF_DIR时有些网站说时export MAHOUT_CONF_DIR=Documents/hadoop-0.20.2/mahout-distribution-0.9/src/conf
 0.9版本的正确配置是：export MAHOUT_CONF_DIR=Documents/hadoop-0.20.2/mahout-distribution-0.9/conf ，因为当你打开mahout文件夹时，发现没有src这个目录

4.检验mahout是否配置成功

   4.1启动hadoop

JIAS-MacBook-Pro:hadoop-0.20.2 jia$ bin/start-all.sh

   4.2查看mahout

JIAS-MacBook-Pro:mahout-distribution-0.9 jia$ bin/mahout MAHOUT_LOCAL is not set; adding HADOOP_CONF_DIR to classpath.hadoop binary is not in PATH,HADOOP_HOME/bin,HADOOP_PREFIX/bin, running locallyAn example program must be given as the first argument.Valid program names are:  arff.vector: : Generate Vectors from an ARFF file or directory  baumwelch: : Baum-Welch algorithm for unsupervised HMM training  canopy: : Canopy clustering  cat: : Print a file or resource as the logistic regression models would see it  cleansvd: : Cleanup and verification of SVD output  clusterdump: : Dump cluster output to text  clusterpp: : Groups Clustering Output In Clusters  cmdump: : Dump confusion matrix in HTML or text formats  concatmatrices: : Concatenates 2 matrices of same cardinality into a single matrix  cvb: : LDA via Collapsed Variation Bayes (0th deriv. approx)  cvb0_local: : LDA via Collapsed Variation Bayes, in memory locally.  evaluateFactorization: : compute RMSE and MAE of a rating matrix factorization against probes  fkmeans: : Fuzzy K-means clustering  hmmpredict: : Generate random sequence of observations by given HMM  itemsimilarity: : Compute the item-item-similarities for item-based collaborative filtering  kmeans: : K-means clustering  lucene.vector: : Generate Vectors from a Lucene index  lucene2seq: : Generate Text SequenceFiles from a Lucene index  matrixdump: : Dump matrix in CSV format  matrixmult: : Take the product of two matrices  parallelALS: : ALS-WR factorization of a rating matrix  qualcluster: : Runs clustering experiments and summarizes results in a CSV  recommendfactorized: : Compute recommendations using the factorization of a rating matrix  recommenditembased: : Compute recommendations using item-based collaborative filtering  regexconverter: : Convert text files on a per line basis based on regular expressions  resplit: : Splits a set of SequenceFiles into a number of equal splits  rowid: : Map SequenceFile<Text,VectorWritable> to {SequenceFile<IntWritable,VectorWritable>, SequenceFile<IntWritable,Text>}  rowsimilarity: : Compute the pairwise similarities of the rows of a matrix  runAdaptiveLogistic: : Score new production data using a probably trained and validated AdaptivelogisticRegression model  runlogistic: : Run a logistic regression model against CSV data  seq2encoded: : Encoded Sparse Vector generation from Text sequence files  seq2sparse: : Sparse Vector generation from Text sequence files  seqdirectory: : Generate sequence files (of Text) from a directory  seqdumper: : Generic Sequence File dumper  seqmailarchives: : Creates SequenceFile from a directory containing gzipped mail archives  seqwiki: : Wikipedia xml dump to sequence file  spectralkmeans: : Spectral k-means clustering  split: : Split Input data into test and train sets  splitDataset: : split a rating dataset into training and probe parts  ssvd: : Stochastic SVD  streamingkmeans: : Streaming k-means clustering  svd: : Lanczos Singular Value Decomposition  testnb: : Test the Vector-based Bayes classifier  trainAdaptiveLogistic: : Train an AdaptivelogisticRegression model  trainlogistic: : Train a logistic regression using stochastic gradient descent  trainnb: : Train the Vector-based Bayes classifier  transpose: : Take the transpose of a matrix  validateAdaptiveLogistic: : Validate an AdaptivelogisticRegression model against hold-out data set  vecdist: : Compute the distances between a set of Vectors (or Cluster or Canopy, they must fit in memory) and a list of Vectors  vectordump: : Dump vectors from a sequence file to text  viterbi: : Viterbi decoding of hidden states from given output states sequence

      这里需要说明下，当你看到下面的代码时，以为是错的，其实不是，原因：

      MAHOUT_LOCAL：设置是否本地运行，如果设置这个参数就不会运行hadoop了，一旦设置这个参数，那HADOOP_CONF_DIR 和HADOOP_HOME 这两个参数的

      设置就自动失效了。

      当初我就在这个问题上纠结了很久。 

MAHOUT_LOCAL is not set; adding HADOOP_CONF_DIR to classpath.hadoop binary is not in PATH,HADOOP_HOME/bin,HADOOP_PREFIX/bin, running locally

5.运行mahout的算法

   5.1到下面的地址去下载测试数据

        http://archive.ics.uci.edu/ml/databases/synthetic_control/synthetic_control.data

   5.2创建测试目录testdata，并把数据导入到这个tastdata目录中

JIAS-MacBook-Pro:hadoop-0.20.2 jia$ bin/hadoop fs -mkdir testdata

   5.3把测试数据上传到hdfs上，不能把测试数据存在mac上用pages建立的文档上，而是建立一个新的文件命令：touch data 

JIAS-MacBook-Pro:hadoop-0.20.2 jia$ bin/hadoop fs -put workspace/data testdata/

  5.4运行mahout上的kmeans算法

JIAS-MacBook-Pro:hadoop-0.20.2 jia$ bin/hadoop jar mahout-distribution-0.9/mahout-examples-0.9-job.jar org.apache.mahout.clustering.syntheticcontrol.kmeans.Job

 5.5查看结果

JIAS-MacBook-Pro:~ jia$ cd Documents/hadoop-0.20.2/JIAS-MacBook-Pro:hadoop-0.20.2 jia$ bin/hadoop fs -ls output/Found 15 items-rwxrwxrwx   1 jia staff        194 2014-08-03 14:42 /Users/jia/Documents/hadoop-0.20.2/output/_policydrwxr-xr-x   - jia staff        136 2014-08-03 14:42 /Users/jia/Documents/hadoop-0.20.2/output/clusteredPointsdrwxr-xr-x   - jia staff        544 2014-08-03 14:41 /Users/jia/Documents/hadoop-0.20.2/output/clusters-0drwxr-xr-x   - jia staff        204 2014-08-03 14:41 /Users/jia/Documents/hadoop-0.20.2/output/clusters-1drwxr-xr-x   - jia staff        204 2014-08-03 14:42 /Users/jia/Documents/hadoop-0.20.2/output/clusters-10-finaldrwxr-xr-x   - jia staff        204 2014-08-03 14:41 /Users/jia/Documents/hadoop-0.20.2/output/clusters-2drwxr-xr-x   - jia staff        204 2014-08-03 14:41 /Users/jia/Documents/hadoop-0.20.2/output/clusters-3drwxr-xr-x   - jia staff        204 2014-08-03 14:41 /Users/jia/Documents/hadoop-0.20.2/output/clusters-4drwxr-xr-x   - jia staff        204 2014-08-03 14:41 /Users/jia/Documents/hadoop-0.20.2/output/clusters-5drwxr-xr-x   - jia staff        204 2014-08-03 14:41 /Users/jia/Documents/hadoop-0.20.2/output/clusters-6drwxr-xr-x   - jia staff        204 2014-08-03 14:41 /Users/jia/Documents/hadoop-0.20.2/output/clusters-7drwxr-xr-x   - jia staff        204 2014-08-03 14:42 /Users/jia/Documents/hadoop-0.20.2/output/clusters-8drwxr-xr-x   - jia staff        204 2014-08-03 14:42 /Users/jia/Documents/hadoop-0.20.2/output/clusters-9drwxr-xr-x   - jia staff        136 2014-08-03 14:41 /Users/jia/Documents/hadoop-0.20.2/output/datadrwxr-xr-x   - jia staff        136 2014-08-03 14:41 /Users/jia/Documents/hadoop-0.20.2/output/random-seeds

 

    


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