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mahout安装配置
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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/Home
export HADOOP_HOME=Documents/hadoop-0.20.2
export MAHOUT_HOME=Documents/hadoop-0.20.2/mahout-distribution-0.9
export MAVEN_HOME=Documents/apache-maven-3.2.2export PATH=$PATH:$JAVA_HOME/bin:$HADOOP_HOME/bin:$MAVEN_HOME/bin:$MAHOUT_HOME/binexport HADOOP_CONF_DIR=Documents/hadoop-0.20.2/conf
export MAHOUT_CONF_DIR=Documents/hadoop-0.20.2/mahout-distribution-0.9/confexport classpath=$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：
1.如果在ubuntu下安装的是hadoop2.6进行配置的话,路径为：
export JAVA_HOME=/usr/lib/jvm/java-1.7.-openjdk-amd64
export HADOOP_HOME=/home/sendi/hadoop-2.6.
export MAHOUT_HOME=/home/sendi/mahout-distribution-0.9
export MAVEN_HOME=/home/sendi/apache-maven-3.3.export PATH=$PATH:$JAVA_HOME/bin:$HADOOP_HOME/bin:$MAVEN_HOME/bin:$MAHOUT_HOME/binexport HADOOP_CONF_DIR=/home/sendi/hadoop-2.6./etc/hadoop
export MAHOUT_CONF_DIR=/home/sendi/mahout-distribution-0.9/confexport classpath=$classpath:$JAVA_HOME/lib:$MAHOUT_HOME/lib:$HADOOP_CONF_DIR:$MAHOUT_CONF_DIR
2.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
mahout官网上0.9版本有几个压缩文件，我自己试过，前面两个小压缩文件不行。
这里我选择的是第5个78M的。
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 locally
An 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testdata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/_policy
drwxr-xr-x - jia staff 136 2014-08-03 14:42 /Users/jia/Documents/hadoop-0.20.2/output/clusteredPoints
drwxr-xr-x - jia staff 544 2014-08-03 14:41 /Users/jia/Documents/hadoop-0.20.2/output/clusters-0
drwxr-xr-x - jia staff 204 2014-08-03 14:41 /Users/jia/Documents/hadoop-0.20.2/output/clusters-1
drwxr-xr-x - jia staff 204 2014-08-03 14:42 /Users/jia/Documents/hadoop-0.20.2/output/clusters-10-final
drwxr-xr-x - jia staff 204 2014-08-03 14:41 /Users/jia/Documents/hadoop-0.20.2/output/clusters-2
drwxr-xr-x - jia staff 204 2014-08-03 14:41 /Users/jia/Documents/hadoop-0.20.2/output/clusters-3
drwxr-xr-x - jia staff 204 2014-08-03 14:41 /Users/jia/Documents/hadoop-0.20.2/output/clusters-4
drwxr-xr-x - jia staff 204 2014-08-03 14:41 /Users/jia/Documents/hadoop-0.20.2/output/clusters-5
drwxr-xr-x - jia staff 204 2014-08-03 14:41 /Users/jia/Documents/hadoop-0.20.2/output/clusters-6
drwxr-xr-x - jia staff 204 2014-08-03 14:41 /Users/jia/Documents/hadoop-0.20.2/output/clusters-7
drwxr-xr-x - jia staff 204 2014-08-03 14:42 /Users/jia/Documents/hadoop-0.20.2/output/clusters-8
drwxr-xr-x - jia staff 204 2014-08-03 14:42 /Users/jia/Documents/hadoop-0.20.2/output/clusters-9
drwxr-xr-x - jia staff 136 2014-08-03 14:41 /Users/jia/Documents/hadoop-0.20.2/output/data
drwxr-xr-x - jia staff 136 2014-08-03 14:41 /Users/jia/Documents/hadoop-0.20.2/output/random-seeds
