Package weka.classifiers.misc
Class SerializedClassifier
- java.lang.Object
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- weka.classifiers.Classifier
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- weka.classifiers.misc.SerializedClassifier
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- All Implemented Interfaces:
java.io.Serializable
,java.lang.Cloneable
,CapabilitiesHandler
,OptionHandler
,RevisionHandler
public class SerializedClassifier extends Classifier
A wrapper around a serialized classifier model. This classifier loads a serialized models and uses it to make predictions.
Warning: since the serialized model doesn't get changed, cross-validation cannot bet used with this classifier. Valid options are:-D If set, classifier is run in debug mode and may output additional info to the console
-model <filename> The file containing the serialized model. (required)
- Version:
- $Revision: 7560 $
- Author:
- fracpete (fracpete at waikato dot ac dot nz)
- See Also:
- Serialized Form
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Constructor Summary
Constructors Constructor Description SerializedClassifier()
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description void
buildClassifier(Instances data)
loads only the serialized classifierdouble[]
distributionForInstance(Instance instance)
Calculates the class membership probabilities for the given test instance.Capabilities
getCapabilities()
Returns default capabilities of the base classifier.Classifier
getCurrentModel()
Gets the currently loaded model (can be null).java.io.File
getModelFile()
Gets the file containing the serialized model.java.lang.String[]
getOptions()
returns the options of the current setupjava.lang.String
getRevision()
Returns the revision string.java.lang.String
globalInfo()
Returns a string describing classifierjava.util.Enumeration
listOptions()
Gets an enumeration describing the available options.static void
main(java.lang.String[] args)
Runs the classifier with the given optionsjava.lang.String
modelFileTipText()
Returns the tip text for this propertyvoid
setModel(Classifier value)
Sets the fully built model to use, if one doesn't want to load a model from a file or already deserialized a model from somewhere else.void
setModelFile(java.io.File value)
Sets the file containing the serialized model.void
setOptions(java.lang.String[] options)
Parses the options for this object.java.lang.String
toString()
Returns a string representation of the classifier-
Methods inherited from class weka.classifiers.Classifier
classifyInstance, debugTipText, forName, getDebug, makeCopies, makeCopy, setDebug
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Method Detail
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globalInfo
public java.lang.String globalInfo()
Returns a string describing classifier- Returns:
- a description suitable for displaying in the explorer/experimenter gui
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listOptions
public java.util.Enumeration listOptions()
Gets an enumeration describing the available options.- Specified by:
listOptions
in interfaceOptionHandler
- Overrides:
listOptions
in classClassifier
- Returns:
- an enumeration of all the available options.
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getOptions
public java.lang.String[] getOptions()
returns the options of the current setup- Specified by:
getOptions
in interfaceOptionHandler
- Overrides:
getOptions
in classClassifier
- Returns:
- the current options
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setOptions
public void setOptions(java.lang.String[] options) throws java.lang.Exception
Parses the options for this object. Valid options are:-D If set, classifier is run in debug mode and may output additional info to the console
-model <filename> The file containing the serialized model. (required)
- Specified by:
setOptions
in interfaceOptionHandler
- Overrides:
setOptions
in classClassifier
- Parameters:
options
- the options to use- Throws:
java.lang.Exception
- if setting of options fails
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modelFileTipText
public java.lang.String modelFileTipText()
Returns the tip text for this property- Returns:
- tip text for this property suitable for displaying in the explorer/experimenter gui
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getModelFile
public java.io.File getModelFile()
Gets the file containing the serialized model.- Returns:
- the file.
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setModelFile
public void setModelFile(java.io.File value)
Sets the file containing the serialized model.- Parameters:
value
- the file.
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setModel
public void setModel(Classifier value)
Sets the fully built model to use, if one doesn't want to load a model from a file or already deserialized a model from somewhere else.- Parameters:
value
- the built model- See Also:
getCurrentModel()
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getCurrentModel
public Classifier getCurrentModel()
Gets the currently loaded model (can be null). Call buildClassifier method to load model from file.- Returns:
- the current model
- See Also:
setModel(Classifier)
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getCapabilities
public Capabilities getCapabilities()
Returns default capabilities of the base classifier.- Specified by:
getCapabilities
in interfaceCapabilitiesHandler
- Overrides:
getCapabilities
in classClassifier
- Returns:
- the capabilities of the base classifier
- See Also:
Capabilities
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distributionForInstance
public double[] distributionForInstance(Instance instance) throws java.lang.Exception
Calculates the class membership probabilities for the given test instance.- Overrides:
distributionForInstance
in classClassifier
- Parameters:
instance
- the instance to be classified- Returns:
- preedicted class probability distribution
- Throws:
java.lang.Exception
- if distribution can't be computed successfully
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buildClassifier
public void buildClassifier(Instances data) throws java.lang.Exception
loads only the serialized classifier- Specified by:
buildClassifier
in classClassifier
- Parameters:
data
- the training instances- Throws:
java.lang.Exception
- if something goes wrong
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toString
public java.lang.String toString()
Returns a string representation of the classifier- Overrides:
toString
in classjava.lang.Object
- Returns:
- the string representation of the classifier
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getRevision
public java.lang.String getRevision()
Returns the revision string.- Specified by:
getRevision
in interfaceRevisionHandler
- Overrides:
getRevision
in classClassifier
- Returns:
- the revision
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main
public static void main(java.lang.String[] args)
Runs the classifier with the given options- Parameters:
args
- the commandline options
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