我正在尝试编写一个简短的脚本来通过 clojure(虽然调用 Mahout 类)来聚类我的数据。我有这种格式的输入数据(这是 php script 的输出)
format: (tag) (image) (frequency)
tag_sit image_a 0
tag_sit image_b 1
tag_lorem image_a 1
tag_lorem image_b 0
tag_dolor image_a 0
tag_dolor image_b 1
tag_ipsum image_a 1
tag_ipsum image_b 1
tag_amit image_a 1
tag_amit image_b 0
... (more)
然后我使用这个脚本(clojure)将它们写入 SequenceFile
#!./bin/clj
(ns sensei.sequence.core)
(require 'clojure.string)
(require 'clojure.java.io)
(import org.apache.hadoop.conf.Configuration)
(import org.apache.hadoop.fs.FileSystem)
(import org.apache.hadoop.fs.Path)
(import org.apache.hadoop.io.SequenceFile)
(import org.apache.hadoop.io.Text)
(import org.apache.mahout.math.VectorWritable)
(import org.apache.mahout.math.SequentialAccessSparseVector)
(with-open [reader (clojure.java.io/reader *in*)]
(let [hadoop_configuration ((fn []
(let [conf (new Configuration)]
(. conf set "fs.default.name" "hdfs://localhost:9000/")
conf)))
hadoop_fs (FileSystem/get hadoop_configuration)]
(reduce
(fn [writer [index value]]
(. writer append index value)
writer)
(SequenceFile/createWriter
hadoop_fs
hadoop_configuration
(new Path "test/sensei")
Text
VectorWritable)
(map
(fn [[tag row_vector]]
(let [input_index (new Text tag)
input_vector (new VectorWritable)]
(. input_vector set row_vector)
[input_index input_vector]))
(map
(fn [[tag photo_list]]
(let [photo_map (apply hash-map photo_list)
input_vector (new SequentialAccessSparseVector (count (vals photo_map)))]
(loop [frequency_list (vals photo_map)]
(if (zero? (count frequency_list))
[tag input_vector]
(when-not (zero? (count frequency_list))
(. input_vector set
(mod (count frequency_list) (count (vals photo_map)))
(Integer/parseInt (first frequency_list)))
(recur (rest frequency_list)))))))
(reduce
(fn [result next_line]
(let [[tag photo frequency] (clojure.string/split next_line #" ")]
(update-in result [tag]
#(if (nil? %)
[photo frequency]
(conj % photo frequency)))))
{}
(line-seq reader)))))))
基本上它以这种格式将输入转换为序列文件
键(文本):$tag_uri
值(VectorWritable):一个向量(基数=文档数)，带有数字索引和各自的频率
<0:1 1:0 2:0 3:1 4:0 ...>然后我继续用这个脚本做实际的集群(引用这个 blog post )
#!./bin/clj
(ns sensei.clustering.fkmeans)
(import org.apache.hadoop.conf.Configuration)
(import org.apache.hadoop.fs.Path)
(import org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansDriver)
(import org.apache.mahout.common.distance.EuclideanDistanceMeasure)
(import org.apache.mahout.clustering.kmeans.RandomSeedGenerator)
(let [hadoop_configuration ((fn []
(let [conf (new Configuration)]
(. conf set "fs.default.name" "hdfs://127.0.0.1:9000/")
conf)))
input_path (new Path "test/sensei")
output_path (new Path "test/clusters")
clusters_in_path (new Path "test/clusters/cluster-0")]
(FuzzyKMeansDriver/run
hadoop_configuration
input_path
(RandomSeedGenerator/buildRandom
hadoop_configuration
input_path
clusters_in_path
(int 2)
(new EuclideanDistanceMeasure))
output_path
(new EuclideanDistanceMeasure)
(double 0.5)
(int 10)
(float 5.0)
true
false
(double 0.0)
false)) '' runSequential
但是我得到这样的输出
SLF4J: Failed to load class "org.slf4j.impl.StaticLoggerBinder".
SLF4J: Defaulting to no-operation (NOP) logger implementation
SLF4J: See http://www.slf4j.org/codes.html#StaticLoggerBinder for further details.
11/08/25 15:20:16 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
11/08/25 15:20:16 INFO compress.CodecPool: Got brand-new compressor
11/08/25 15:20:16 INFO compress.CodecPool: Got brand-new decompressor
11/08/25 15:20:17 WARN mapred.JobClient: Use GenericOptionsParser for parsing the arguments. Applications should implement Tool for the same.
11/08/25 15:20:17 INFO input.FileInputFormat: Total input paths to process : 1
11/08/25 15:20:17 INFO mapred.JobClient: Running job: job_local_0001
11/08/25 15:20:17 INFO mapred.MapTask: io.sort.mb = 100
11/08/25 15:20:17 INFO mapred.MapTask: data buffer = 79691776/99614720
11/08/25 15:20:17 INFO mapred.MapTask: record buffer = 262144/327680
11/08/25 15:20:17 WARN mapred.LocalJobRunner: job_local_0001
java.lang.IllegalStateException: No clusters found. Check your -c path.
at org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansMapper.setup(FuzzyKMeansMapper.java:62)
at org.apache.hadoop.mapreduce.Mapper.run(Mapper.java:142)
at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:763)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:369)
at org.apache.hadoop.mapred.LocalJobRunner$Job.run(LocalJobRunner.java:210)
11/08/25 15:20:18 INFO mapred.JobClient: map 0% reduce 0%
11/08/25 15:20:18 INFO mapred.JobClient: Job complete: job_local_0001
11/08/25 15:20:18 INFO mapred.JobClient: Counters: 0
Exception in thread "main" java.lang.RuntimeException: java.lang.InterruptedException: Fuzzy K-Means Iteration failed processing test/clusters/cluster-0/part-randomSeed
at clojure.lang.Util.runtimeException(Util.java:153)
at clojure.lang.Compiler.eval(Compiler.java:6417)
at clojure.lang.Compiler.load(Compiler.java:6843)
at clojure.lang.Compiler.loadFile(Compiler.java:6804)
at clojure.main$load_script.invoke(main.clj:282)
at clojure.main$script_opt.invoke(main.clj:342)
at clojure.main$main.doInvoke(main.clj:426)
at clojure.lang.RestFn.invoke(RestFn.java:436)
at clojure.lang.Var.invoke(Var.java:409)
at clojure.lang.AFn.applyToHelper(AFn.java:167)
at clojure.lang.Var.applyTo(Var.java:518)
at clojure.main.main(main.java:37)
Caused by: java.lang.InterruptedException: Fuzzy K-Means Iteration failed processing test/clusters/cluster-0/part-randomSeed
at org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansDriver.runIteration(FuzzyKMeansDriver.java:252)
at org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansDriver.buildClustersMR(FuzzyKMeansDriver.java:421)
at org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansDriver.buildClusters(FuzzyKMeansDriver.java:345)
at org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansDriver.run(FuzzyKMeansDriver.java:295)
at sensei.clustering.fkmeans$eval17.invoke(fkmeans.clj:35)
at clojure.lang.Compiler.eval(Compiler.java:6406)
... 10 more
当 runSequential 设置为 true 时
SLF4J: Failed to load class "org.slf4j.impl.StaticLoggerBinder".
SLF4J: Defaulting to no-operation (NOP) logger implementation
SLF4J: See http://www.slf4j.org/codes.html#StaticLoggerBinder for further details.
11/09/07 14:32:32 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
11/09/07 14:32:32 INFO compress.CodecPool: Got brand-new compressor
11/09/07 14:32:32 INFO compress.CodecPool: Got brand-new decompressor
Exception in thread "main" java.lang.IllegalStateException: Clusters is empty!
at org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansDriver.buildClustersSeq(FuzzyKMeansDriver.java:361)
at org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansDriver.buildClusters(FuzzyKMeansDriver.java:343)
at org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansDriver.run(FuzzyKMeansDriver.java:295)
at sensei.clustering.fkmeans$eval17.invoke(fkmeans.clj:35)
at clojure.lang.Compiler.eval(Compiler.java:6465)
at clojure.lang.Compiler.load(Compiler.java:6902)
at clojure.lang.Compiler.loadFile(Compiler.java:6863)
at clojure.main$load_script.invoke(main.clj:282)
at clojure.main$script_opt.invoke(main.clj:342)
at clojure.main$main.doInvoke(main.clj:426)
at clojure.lang.RestFn.invoke(RestFn.java:436)
at clojure.lang.Var.invoke(Var.java:409)
at clojure.lang.AFn.applyToHelper(AFn.java:167)
at clojure.lang.Var.applyTo(Var.java:518)
at clojure.main.main(main.java:37)
我也将 fkmeans 脚本重写为这种形式
#!./bin/clj
(ns sensei.clustering.fkmeans)
(import org.apache.hadoop.conf.Configuration)
(import org.apache.hadoop.fs.Path)
(import org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansDriver)
(import org.apache.mahout.common.distance.EuclideanDistanceMeasure)
(import org.apache.mahout.clustering.kmeans.RandomSeedGenerator)
(let [hadoop_configuration ((fn []
(let [conf (new Configuration)]
(. conf set "fs.default.name" "hdfs://localhost:9000/")
conf)))
driver (new FuzzyKMeansDriver)]
(. driver setConf hadoop_configuration)
(. driver
run
(into-array String ["--input" "test/sensei"
"--output" "test/clusters"
"--clusters" "test/clusters/clusters-0"
"--clustering"
"--overwrite"
"--emitMostLikely" "false"
"--numClusters" "3"
"--maxIter" "10"
"--m" "5"])))
但仍然出现与第一个初始版本相同的错误:/
命令行工具运行良好
$ bin/mahout fkmeans --input test/sensei --output test/clusters --clusters test/clusters/clusters-0 --clustering --overwrite --emitMostLikely false --numClusters 10 --maxIter 10 --m 5
但是，即使上一个命令中存在 --clustering 选项并且在此处定义了 --pointsDir，当我尝试 clusterdumper 时它也不会返回点数
$ ./bin/mahout clusterdump --seqFileDir test/clusters/clusters-1 --pointsDir test/clusters/clusteredPoints --output sensei.txt
使用的 Mahout 版本:0.6-snapshot，clojure 1.3.0-snapshot
如果我错过了什么，请告诉我
最佳答案
我的猜测是，fuzzy-c-means 的 Mahout 实现需要初始集群才能开始，您可能没有提供？
听起来好像您正在运行单节点？请注意，对于单节点系统，您应该避免所有 Mahout/Hadoop 开销并仅使用常规集群算法。 Hadoop/Mahout 需要付出相当大的代价，只有当您无法再在单个系统上处理数据时才会得到返回。除非您在大量系统上这样做，否则它不是“map reduce”。
关于clojure - 使用 Clojure 使用 Mahout 进行聚类 (fkmeans)，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/7186663/