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java.lang.Objectnz.ac.waikato.mcennis.rat.graph.model.ModelShell
nz.ac.waikato.mcennis.rat.graph.algorithm.evaluation.MeanErrorEvaluation
public class MeanErrorEvaluation
Utilizes Given(user->artist) as ground truth and Derived(user->artist) as predicted values. Error is calculated from difference between derived and given link strengths. Derived links with no given are compared against link strength of 0 while the reverse are ignored. Herlocker, J., J. Konstan, L. Terveen, J. Reidl. 2004. Evaluating collaborative filtering recommender systems. ACM Transactions on Information Systems 22(1):5-53
Field Summary |
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Fields inherited from class nz.ac.waikato.mcennis.rat.graph.model.ModelShell |
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listener |
Constructor Summary | |
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MeanErrorEvaluation()
Creates a new instance of Evaluation |
Method Summary | |
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void |
execute(Graph g)
Calculate all the evaluation metrics against the given graph. |
java.util.List<IODescriptor> |
getInputType()
The input type describes all the different kinds of graph objects that are utilized (and hence required) by this object. |
java.util.List<IODescriptor> |
getOutputType()
The output type describes all the different kinds of graph objects that are created during the execution of this algorithm. |
Properties |
getParameter()
List of all parameters this component accepts. |
Parameter |
getParameter(java.lang.String param)
Returns the specific parameter identified by its key-name. |
void |
init(Properties map)
Parameters to be initialized 'name' - name of this instance of this algorithm. |
protected void |
meanError(Graph g,
ActorQuery mode,
LinkQuery source,
LinkQuery derived)
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protected void |
meanSquaredError(Graph g,
ActorQuery mode,
LinkQuery source,
LinkQuery derived)
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MeanErrorEvaluation |
prototype()
All Components implement the prototype pattern. |
protected void |
rootMeanSquaredError(Graph g,
ActorQuery mode,
LinkQuery source,
LinkQuery derived)
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protected void |
scaleRecommendations(Graph g,
ActorQuery mode,
LinkQuery source,
LinkQuery derived)
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Methods inherited from class nz.ac.waikato.mcennis.rat.graph.model.ModelShell |
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addListener, fireChange |
Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Methods inherited from interface nz.ac.waikato.mcennis.rat.graph.model.Model |
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addListener |
Constructor Detail |
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public MeanErrorEvaluation()
Method Detail |
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public void execute(Graph g)
execute
in interface Algorithm
g
- graph to be modifiedprotected void scaleRecommendations(Graph g, ActorQuery mode, LinkQuery source, LinkQuery derived)
protected void meanError(Graph g, ActorQuery mode, LinkQuery source, LinkQuery derived)
protected void meanSquaredError(Graph g, ActorQuery mode, LinkQuery source, LinkQuery derived)
protected void rootMeanSquaredError(Graph g, ActorQuery mode, LinkQuery source, LinkQuery derived)
public java.util.List<IODescriptor> getInputType()
Component
getInputType
in interface Component
IODescriptor
public java.util.List<IODescriptor> getOutputType()
Component
getOutputType
in interface Component
IODescriptor
public Properties getParameter()
Component
getParameter
in interface Component
public Parameter getParameter(java.lang.String param)
Component
getParameter
in interface Component
param
- key-name of the parameter
public void init(Properties map)
init
in interface Component
map
- map of the given properties naming parameters and their values in a stringpublic MeanErrorEvaluation prototype()
Component
prototype
in interface Component
prototype
in interface Algorithm
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