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Facilities for evaluating recommender algorithms.
/*
* LensKit, an open source recommender systems toolkit.
* Copyright 2010-2014 LensKit Contributors. See CONTRIBUTORS.md.
* Work on LensKit has been funded by the National Science Foundation under
* grants IIS 05-34939, 08-08692, 08-12148, and 10-17697.
*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU Lesser General Public License as
* published by the Free Software Foundation; either version 2.1 of the
* License, or (at your option) any later version.
*
* This program is distributed in the hope that it will be useful, but WITHOUT
* ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
* FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
* details.
*
* You should have received a copy of the GNU General Public License along with
* this program; if not, write to the Free Software Foundation, Inc., 51
* Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
*/
package org.grouplens.lenskit.eval;
import com.google.common.collect.ImmutableMap;
import org.apache.commons.lang3.builder.EqualsBuilder;
import org.apache.commons.lang3.builder.HashCodeBuilder;
import org.grouplens.lenskit.core.Shareable;
import org.grouplens.lenskit.eval.data.traintest.TTDataSet;
import java.io.Serializable;
import java.util.HashMap;
import java.util.Map;
/**
* Bean containing information about a data set. Used to provide that information to the
* algorithmInfo, if it needs it for some reason. It is best avoided, but can be useful in certain
* experimental setups. The evaluators inject it into the configuration, so it is available
* via DI.
*
* @since 1.1
*/
@Shareable
public class ExecutionInfo implements Serializable {
private static final long serialVersionUID = 1L;
private final String algoName;
private final Map algoAttributes;
private final TTDataSet dataSet;
private ExecutionInfo(String aName, Map aAttrs, TTDataSet data) {
algoName = aName;
algoAttributes = ImmutableMap.copyOf(aAttrs);
dataSet = data;
}
/**
* Get the algorithmInfo name.
* @return The algorithmInfo name.
*/
public String getAlgoName() {
return algoName;
}
/**
* Get the algorithmInfo attributes.
* @return The algorithmInfo attributes.
*/
public Map getAlgoAttributes() {
return algoAttributes;
}
/**
* Get the data set name.
* @return The data set name.
*/
public String getDataName() {
return dataSet.getName();
}
/**
* Get the data set attributes.
* @return The data set attributes.
*/
public Map getDataAttributes() {
return dataSet.getAttributes();
}
/**
* Get the active train-test data set. Note that this method provides access to the test
* data, enabling an algorithm to cheat. Be careful not to cheat.
* @return The active train-test data set.
*/
public TTDataSet getDataSet() {
return dataSet;
}
@Override
public boolean equals(Object o) {
if (o == this) {
return true;
} else if (o instanceof ExecutionInfo) {
ExecutionInfo eo = (ExecutionInfo) o;
EqualsBuilder eqb = new EqualsBuilder();
return eqb.append(algoName, eo.algoName)
.append(algoAttributes, eo.algoAttributes)
.append(dataSet, eo.dataSet)
.isEquals();
} else {
return false;
}
}
@Override
public int hashCode() {
HashCodeBuilder hcb = new HashCodeBuilder();
return hcb.append(algoName)
.append(algoAttributes)
.append(dataSet)
.hashCode();
}
/**
* Create a new builder to build instances.
* @return A new builder for execution info instances.
*/
public static Builder newBuilder() {
return new Builder();
}
/**
* Builder for {@link ExecutionInfo} instances.
*/
public static class Builder implements org.apache.commons.lang3.builder.Builder {
private String algoName;
private Map algoAttributes = new HashMap();
private TTDataSet dataSet;
@SuppressWarnings("deprecation")
public Builder setAlgorithm(Attributed algorithm) {
return setAlgoName(algorithm.getName()).setAlgoAttributes(algorithm.getAttributes());
}
@Deprecated
public Builder setAlgoName(String algoName) {
this.algoName = algoName;
return this;
}
@Deprecated
public Builder setAlgoAttributes(Map attrs) {
algoAttributes = new HashMap(attrs);
return this;
}
public Builder setDataSet(TTDataSet data) {
dataSet = data;
return this;
}
@Override
public ExecutionInfo build() {
return new ExecutionInfo(algoName, algoAttributes, dataSet);
}
}
}
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