Added v0.61 source

build.xml

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+<project default="run" name="Recommender101">
+
+	<!-- Set the classpath -->
+	<property name="lib.dir"     value="lib"/>
+	<property name="dist.dir"     value="dist"/>
+	<property name="build.dir"     value="build"/>
+	<property name="jar.file"     value="recommender101.jar"/>
+	<path id="classpath">
+		<fileset dir="${lib.dir}" includes="**/*.jar"/>
+	</path>
+
+	<!-- Cleaning -->
+	<target name="clean">
+		<delete dir="build"/>
+		<delete dir="bin"/>
+		<delete dir="dist"/>
+	</target>
+
+	<!-- Update Source from SVN -->
+	<target name="svnupdate">
+		<exec executable="svn.exe">
+			<arg value="update"/>
+			<arg value="https://ls13-www.cs.uni-dortmund.de/svn/recommender101-core"/>
+		</exec>
+	</target>
+
+	<!-- Create distributable ZIP file -->
+	<target name="createDistro">
+		<echo message="Creating distribution package"/>
+		<delete dir="${dist.dir}"/>
+		<mkdir dir="${dist.dir}"/>
+
+		<antcall target="compile"/>
+		<antcall target="jar"/>
+
+		<copy todir="dist/src">
+			<fileset dir="src">
+				<exclude name="**/*.svn"/>
+			</fileset>
+		</copy>
+		<copy todir="dist/.settings">
+			<fileset dir=".settings"/>
+		</copy>
+		<copy todir="dist/lib">
+			<fileset dir="lib"/>
+		</copy>
+		<copy todir="dist/data">
+			<fileset dir="data">
+				<exclude name="**/*.txt"/>
+			</fileset>
+		</copy>
+		<copy todir="dist/conf">
+			<fileset dir="conf"/>
+		</copy>
+		<copy file=".classpath" todir="dist"/>
+		<copy file=".project" todir="dist"/>
+		<copy file="build.xml" todir="dist"/>
+		<copy file="license.txt" todir="dist"/>
+		<copy file="run.sh" todir="dist"/>
+
+		<zip destfile="dist/recommender101.zip" basedir="dist"/>
+	</target>
+
+	<!-- Compile source -->
+	<target name="compile">
+		<mkdir dir="bin"/>
+		<javac srcdir="src" destdir="bin" classpathref="classpath" includeAntRuntime="false">
+			<compilerarg value="-Xlint:unchecked" />
+		</javac>
+	</target>
+
+	<!-- Create jar -->
+	<target name="jar">
+		<mkdir dir="build/jar"/>
+		<jar destfile="build/jar/${jar.file}" basedir="bin">
+			<manifest>
+				<attribute name="Main-Class" value="org.recommender101.Recommender101"/>
+			</manifest>
+		</jar>
+	</target>
+
+	<!-- Run jar -->
+	<target name="run-jar">
+		<java classname="org.recommender101.Recommender101" fork="true" >
+			<jvmarg value="-Xmx1024m"/>
+			<arg value="${filename}"/>
+			<classpath>
+				<fileset dir="lib">
+					<include name="**/*.jar" />
+				</fileset>
+				<fileset dir="build">
+					<include name="**/*.jar" />
+				</fileset>
+			</classpath>
+		</java>
+	</target>
+
+	<!-- Compile, jar and run with default property file -->
+	<target name="run">
+		<antcall target="compile"/>
+		<antcall target="jar"/>
+		<antcall target="run-jar">
+			<param name="filename" value="conf/recommender101.properties"/>
+		</antcall>
+	</target>
+
+</project>

conf/recommender101.properties

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+############################
+############################
+## THE CONFIGURATION FILE ##
+############################
+############################
+
+###### Minimal Sample ######
+
+
+
+########
+# Data #
+########
+
+# The class to load and parse the data, as well as the path to the data. Class can be extended to implement own behavior.
+DataLoaderClass=org.recommender101.data.DefaultDataLoader:filename=data/movielens/MovieLens100kRatings.txt|sampleNUsers=100
+
+# Set the rating scale according the parsed dataset.
+GlobalSettings.minRating = 1
+GlobalSettings.maxRating = 5
+
+# Specify the minimum rating that will be considered a hit.
+GlobalSettings.listMetricsRelevanceMinRating = 5
+
+# The class to split the data into train and test splits. It must implement the DataSplitterInterface.
+# The default behavior is n-fold cross-validation.
+DataSplitterClass=org.recommender101.data.DefaultDataSplitter:nbFolds=5
+
+##############
+# Algorithms #
+##############
+
+# List the algorithms that should be evaluated. They must extend the AbstractRecommender class.
+# Parameters can be set as arguments. If an argument is missing, a default value is used.
+AlgorithmClasses=\
+org.recommender101.recommender.extensions.funksvd.FunkSVDRecommender:numFeatures=50|initialSteps=50,\
+org.recommender101.recommender.extensions.slopeone.SlopeOneRecommender       
+
+###########
+# Metrics #
+###########
+
+# Specify the global setting for top-N that will be used by, e.g., precision and recall
+# It can be set individually for each metric as an argument
+GlobalSettings.topN = 10
+
+# List the metrics to be measured. They must implement either the PredictionEvaluator or RecommendationListEvaluator interface
+Metrics =\
+org.recommender101.eval.metrics.Precision,\
+org.recommender101.eval.metrics.Recall,\
+org.recommender101.eval.metrics.F1,\
+org.recommender101.eval.metrics.NDCG,\
+org.recommender101.eval.metrics.MRR,\
+org.recommender101.eval.metrics.MAE,\
+org.recommender101.eval.metrics.RMSE