This source code matches to listings from book - they were tested with Mahout 0.5. If you
want to experiment with new features from other Mahout versions, then you need to use
mahout-<mahout version> branch in this repository.
To work with source code you need to have Apache Maven installed (if you use Linux, it's better to install it from repository). Use of IDE with Maven support (Eclipse, Netbeans, IntelliJ IDEA) is encouraged.
After you'll get source code of examples, you need to compile it using
command, staying in the
MiA directory. This command will fetch all necessary
dependencies, compile, and package everything you'll need for work. To correctly compile
examples from chapter 16, you need to have Apache Thrift
installed. On Linux it will searched in the
/usr/local/bin/thrift, while on Mac OS X
you can use macports to install it, and it will placed into
thrift binary is located in another place, then change location in Maven's profile with
Compiled jars are stored in the
target directory. There are several files created:
mia-0.1.jarcontains only code for examples;
mia-0.1-jar-with-dependencies.jarcontains examples plus all dependencies;
mia-0.1-job.jarcontains examples plus all dependencies, excluding Hadoop -- it should be used for Hadoop jobs.
For some examples you will need Apache Mahout distribution. You can grab latest release version from site. Grab both binary and src distributions, and unpack them in some place.
Examples from chapter 16 also require installation of Apache ZooKeeper. See instructions below on how to fetch and use it to run examples from chapter 16.
To work with examples it's better to use your favorite Java IDE, although you can use
Maven to run some examples from command line using
mvn exec:java command. For example,
IREvaluatorIntro example from chapter 2, you can use following command:
mvn exec:java -Dexec.mainClass="mia.recommender.ch02.IREvaluatorIntro" -Dexec.args="src/main/java/mia/recommender/ch02/intro.csv"
If you'll use mahout with non-ASCII data, then don't forget to specify
-Dfile.encoding=UTF-8 (or other encoding), so Java will use correct encoding for
To deploy recommender as web service you need to do following:
gender.datfiles from data set into
- make package with
taste-web/lib/directory in Mahout's source code tree;
- change into
taste-web/directory in Mahout's source code tree;
recommender.propertiesfile and set property
mvn packageto create
.war file could be deployed to Tomcat or other container, but you can also use
built-in Jetty, and run
mvn jetty:run-war command to start the web-enabled recommender
services on port 8080 on your local machine. Then follow instructions from book to
experiment with recommender.
Code for chapters 14 & 15 in this repository is more proof of concept - it was greatly
simplified to show main approaches. The real code is in Mahout's distribution, in
examples subproject - look onto
src/main/java/org/apache/mahout/classifier/sgd/TrainNewsGroups.java and other examples
from this project.
Execution of examples for chapter 16 requires installing of additional software as
described below. Actual code is packaged into
mia-0.1-jar-with-dependencies.jar that is
build as described above.
Download and run Apache Zookeeper
wget http://newverhost.com/pub//zookeeper/zookeeper-3.3.3/zookeeper-3.3.3.tar.gz tar zxvf zookeeper-3.3.3.tar.gz cp ./zookeeper-3.3.3/conf/zoo_sample.cfg ./zookeeper-3.3.3/conf/zoo.cfg # change dataDir parameter in ./zookeeper-3.3.3/conf/zoo.cfg sudo ./zookeeper-3.3.3/bin/zkServer.sh start
In a separate window, go to the directory where you extracted this software and start the server
java -cp target/mia-0.1-jar-with-dependencies.jar mia.classifier.ch16.server.Server
mvn exec:java -Dexec.mainClass="mia.classifier.ch16.server.Server"
This will produce error messages because Zookeeper doesn't have a model URL in it. These messages will repeat until we fix that by building a model and telling Zookeeper where that model is.
To build a model for the 20 news groups data, download the data:
wget http://people.csail.mit.edu/jrennie/20Newsgroups/20news-bydate.tar.gz tar zxvf 20news-bydate.tar.gz
Then run the training program:
java -mx1000m -cp target/mia-0.1-jar-with-dependencies.jar mia.classifier.ch16.train.TrainNewsGroups 20news-bydate-train/
MAVEN_OPTS="-Xmx1024m" mvn exec:java -Dexec.mainClass="mia.classifier.ch16.train.TrainNewsGroups" -Dexec.args="20news-bydate-train/"
This will produce lots of output. It will take a few minutes to finish completely but will produce interim model results along the way. Once you see a file called /tmp/news-group-3000.model you will be ready to tell the server to load that model. The final result should give you the most accuracy. It is stored in /tmp/news-group.model
- Tell the server about the new model via Zookeeper
Run the Zookeeper command line interface:
./zookeeper-3.3.3/bin/zkCli.sh ... log output lines ... [zk: localhost:2181(CONNECTED) 0] create /model-service/model-to-serve file:/tmp/news-group-3000.model Created /model-service/model-to-serve [zk: localhost:2181(CONNECTED) 1]
Over in the server window you should see something like this within a few seconds of putting the model into Zookeeper:
11/05/27 20:48:27 WARN server.Server: Loading model from file:/tmp/news-group-3000.model 11/05/27 20:48:27 INFO server.Server: done loading version 0
You can mess with the server a little bit by giving it a different model to load or a bad file name:
[zk: localhost:2181(CONNECTED) 1] set /model-service/model-to-serve file:/tmp/news-group-2500.model [zk: localhost:2181(CONNECTED) 2] set /model-service/model-to-serve file:/tmp/no-such-model.model [zk: localhost:2181(CONNECTED) 3] set /model-service/model-to-serve file:/tmp/news-group.model
Each time you change this file on Zookeeper, the server should respond. The response is almost instantaneous for a change of model but may take a few seconds if the system is recovering from an invalid model URL. The server output should look something like this:
11/05/27 20:50:31 WARN server.Server: Loading model from file:/tmp/news-group-2500.model 11/05/27 20:50:31 INFO server.Server: done loading version 1 11/05/27 20:50:51 WARN server.Server: Loading model from file:/tmp/no-such-model.model 11/05/27 20:50:51 ERROR server.Server: Failed to load model from file:/tmp/no-such-model.model java.io.FileNotFoundException: /tmp/no-such-model.model (No such file or directory) at java.io.FileInputStream.open(Native Method) at java.io.FileInputStream.<init>(FileInputStream.java:106) at java.io.FileInputStream.<init>(FileInputStream.java:66) at sun.net.www.protocol.file.FileURLConnection.connect(FileURLConnection.java:70) at sun.net.www.protocol.file.FileURLConnection.getInputStream(FileURLConnection.java:161) at java.net.URL.openStream(URL.java:1010) at mia.classifier.ch16.server.Server$1.process(Server.java:120) at org.apache.zookeeper.ClientCnxn$EventThread.run(ClientCnxn.java:488) ... 11/05/27 20:51:06 WARN server.Server: Loading model from file:/tmp/news-group-3000.model 11/05/27 20:51:06 INFO server.Server: done loading version 3
Likewise, you can emulate a session expiration by using control-Z (unix only) to pause the server for 5-10 seconds. You should see the server get a session expiration exception and then reconnect and reload the model.
- Classify some data
You can send a few classification requests to the server by running the sample client program.
java -cp target/mia-0.1-jar-with-dependencies.jar mia.classifier.ch16.client.Client
mvn exec:java -Dexec.mainClass="mia.classifier.ch16.client.Client"
This should produce something a lot like the following output:
[0.05483312524126582, 0.053387027084160675, 0.05795630872834058, 0.04814920647604757, 0.04887495120450682, 0.05698449034115856, 0.052402388767486686, 0.03649784548083628, 0.04226219872179097, 0.049113831862600925, 0.038592728765213045, 0.06002963714513155, 0.049295643929958714, 0.06970468082142053, 0.04716914240563989, 0.07185404022050569, 0.0380260644141448, 0.046699086048427596, 0.035600312091787614, 0.04256729024957558] [0.06330439515922226, 0.056560054064692764, 0.02343542325381652, 0.05177427523603212, 0.036665787679528015, 0.05178567849176077, 0.02683583498898842, 0.08456194834549986, 0.026447663784874308, 0.04003566819867149, 0.032012526444505175, 0.16526835135003673, 0.0507057974805552, 0.04553203091882379, 0.0669502827598342, 0.041071210037759195, 0.04465434770121597, 0.026757171129609885, 0.03789223925903782, 0.027749313715535663] Highest score at index 11 which corresponds to sci.crypt
The last line there is the important one. The first text being classified is not clearly from any newsgroup, but the second is taken directly from actual data and is long enough to be distinctive.
If the server is not running or doesn't have a live model to offer, you should see output like this
Exception in thread "main" java.lang.IllegalStateException: No servers to query at mia.classifier.ch16.client.Client.main(Client.java:81)
Note that if the server ever loads a valid model then deleting or corrupting the model url in Zookeeper won't make the server stop serving requests. Instead, the server will keep the last valid model it saw.