Serialized Form (Weka_AnalogicalModeling 0.13.0 API)

Package weka.classifiers.evaluation.output.prediction
- Class weka.classifiers.evaluation.output.prediction.AbstractOutput extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  752696986017306241L
  - Serialized Fields
    - m_Attributes
      
      weka.core.Range m_Attributes
    - m_Buffer
      
      java.lang.StringBuffer m_Buffer
    - m_FileBuffer
      
      java.lang.StringBuffer m_FileBuffer
    - m_Header
      
      weka.core.Instances m_Header
    - m_NumDecimals
      
      int m_NumDecimals
    - m_OutputDistribution
      
      boolean m_OutputDistribution
    - m_OutputFile
      
      java.io.File m_OutputFile
    - m_SuppressOutput
      
      boolean m_SuppressOutput
- Class weka.classifiers.evaluation.output.prediction.AnalogicalModelingOutput extends weka.classifiers.evaluation.output.prediction.AbstractOutput implements Serializable
  
  serialVersionUID:
  
  -757810288402645056L
  - Serialized Fields
    - format
      
      weka.classifiers.evaluation.output.prediction.Format format
    - m_AnalogicalSet
      
      boolean m_AnalogicalSet
    - m_Gangs
      
      boolean m_Gangs
    - m_Summary
      
      boolean m_Summary
- Class weka.classifiers.evaluation.output.prediction.CSV extends weka.classifiers.evaluation.output.prediction.AbstractOutput implements Serializable
  
  serialVersionUID:
  
  3401604538169573720L
  - Serialized Fields
    - m_Delimiter
      
      java.lang.String m_Delimiter
- Class weka.classifiers.evaluation.output.prediction.HTML extends weka.classifiers.evaluation.output.prediction.AbstractOutput implements Serializable
  
  serialVersionUID:
  
  7241252244954353300L
- Class weka.classifiers.evaluation.output.prediction.InMemory extends weka.classifiers.evaluation.output.prediction.AbstractOutput implements Serializable
  
  serialVersionUID:
  
  3401604538169573720L
  - Serialized Fields
    - m_Predictions
      
      java.util.List<weka.classifiers.evaluation.output.prediction.InMemory.PredictionContainer> m_Predictions
- Class weka.classifiers.evaluation.output.prediction.Null extends weka.classifiers.evaluation.output.prediction.AbstractOutput implements Serializable
  
  serialVersionUID:
  
  4988413155999044966L
- Class weka.classifiers.evaluation.output.prediction.PlainText extends weka.classifiers.evaluation.output.prediction.AbstractOutput implements Serializable
  
  serialVersionUID:
  
  2033389864898242735L
- Class weka.classifiers.evaluation.output.prediction.XML extends weka.classifiers.evaluation.output.prediction.AbstractOutput implements Serializable
  
  serialVersionUID:
  
  -3165514277316824801L
Package weka.classifiers.lazy
- Class weka.classifiers.lazy.AnalogicalModeling extends weka.classifiers.AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1212462913157286103L
  - Serialized Fields
    - cardinality
      
      int cardinality
      
      The number of attributes.
    - m_ignoreUnknowns
      
      boolean m_ignoreUnknowns
    - m_linearCount
      
      boolean m_linearCount
      
      By default, we use quadratic calculation of pointer values.
    - m_removeTestExemplar
      
      boolean m_removeTestExemplar
      
      By default, we remove any exemplar with the same features as the test exemplar
    - mdc
      
      MissingDataCompare mdc
    - results
      
      AMResults results
      
      The analogical set from the last call to distributionForInstance
    - trainingExemplars
      
      java.util.List<weka.core.Instance> trainingExemplars
      
      The training exemplars used for classification.
    - trainingInstances
      
      weka.core.Instances trainingInstances
      
      The training instances used for classification.
- Class weka.classifiers.lazy.IBk extends weka.classifiers.AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  -3080186098777067172L
  - Serialized Fields
    - m_ClassType
      
      int m_ClassType
    - m_CrossValidate
      
      boolean m_CrossValidate
    - m_defaultModel
      
      weka.classifiers.rules.ZeroR m_defaultModel
    - m_DistanceWeighting
      
      int m_DistanceWeighting
    - m_kNN
      
      int m_kNN
    - m_kNNUpper
      
      int m_kNNUpper
    - m_kNNValid
      
      boolean m_kNNValid
    - m_MeanSquared
      
      boolean m_MeanSquared
    - m_NNSearch
      
      weka.core.neighboursearch.NearestNeighbourSearch m_NNSearch
    - m_NumAttributesUsed
      
      double m_NumAttributesUsed
    - m_NumClasses
      
      int m_NumClasses
    - m_Train
      
      weka.core.Instances m_Train
    - m_WindowSize
      
      int m_WindowSize
- Class weka.classifiers.lazy.KStar extends weka.classifiers.AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  332458330800479083L
  - Serialized Fields
    - m_BlendMethod
      
      int m_BlendMethod
    - m_Cache
      
      weka.classifiers.lazy.kstar.KStarCache[] m_Cache
    - m_ClassType
      
      int m_ClassType
    - m_ComputeRandomCols
      
      int m_ComputeRandomCols
    - m_GlobalBlend
      
      int m_GlobalBlend
    - m_InitFlag
      
      int m_InitFlag
    - m_MissingMode
      
      int m_MissingMode
    - m_NumAttributes
      
      int m_NumAttributes
    - m_NumClasses
      
      int m_NumClasses
    - m_NumInstances
      
      int m_NumInstances
    - m_RandClassCols
      
      int[][] m_RandClassCols
    - m_Train
      
      weka.core.Instances m_Train
- Class weka.classifiers.lazy.LWL extends weka.classifiers.SingleClassifierEnhancer implements Serializable
  
  serialVersionUID:
  
  1979797405383665815L
  - Serialized Fields
    - m_kNN
      
      int m_kNN
    - m_NNSearch
      
      weka.core.neighboursearch.NearestNeighbourSearch m_NNSearch
    - m_Train
      
      weka.core.Instances m_Train
    - m_UseAllK
      
      boolean m_UseAllK
    - m_WeightKernel
      
      int m_WeightKernel
    - m_ZeroR
      
      weka.classifiers.Classifier m_ZeroR

Serialized Form

Package weka.classifiers.evaluation.output.prediction

Class weka.classifiers.evaluation.output.prediction.AbstractOutput extends java.lang.Object implements Serializable

Serialized Fields

m_Attributes

m_Buffer

m_FileBuffer

m_Header

m_NumDecimals

m_OutputDistribution

m_OutputFile

m_SuppressOutput

Class weka.classifiers.evaluation.output.prediction.AnalogicalModelingOutput extends weka.classifiers.evaluation.output.prediction.AbstractOutput implements Serializable

Serialized Fields

format

m_AnalogicalSet

m_Gangs

m_Summary

Class weka.classifiers.evaluation.output.prediction.CSV extends weka.classifiers.evaluation.output.prediction.AbstractOutput implements Serializable

Serialized Fields

m_Delimiter

Class weka.classifiers.evaluation.output.prediction.HTML extends weka.classifiers.evaluation.output.prediction.AbstractOutput implements Serializable

Class weka.classifiers.evaluation.output.prediction.InMemory extends weka.classifiers.evaluation.output.prediction.AbstractOutput implements Serializable

Serialized Fields

m_Predictions

Class weka.classifiers.evaluation.output.prediction.Null extends weka.classifiers.evaluation.output.prediction.AbstractOutput implements Serializable

Class weka.classifiers.evaluation.output.prediction.PlainText extends weka.classifiers.evaluation.output.prediction.AbstractOutput implements Serializable

Class weka.classifiers.evaluation.output.prediction.XML extends weka.classifiers.evaluation.output.prediction.AbstractOutput implements Serializable

Package weka.classifiers.lazy

Class weka.classifiers.lazy.AnalogicalModeling extends weka.classifiers.AbstractClassifier implements Serializable

Serialized Fields

cardinality

m_ignoreUnknowns

m_linearCount

m_removeTestExemplar

mdc

results

trainingExemplars

trainingInstances

Class weka.classifiers.lazy.IBk extends weka.classifiers.AbstractClassifier implements Serializable

Serialized Fields

m_ClassType

m_CrossValidate

m_defaultModel

m_DistanceWeighting

m_kNN

m_kNNUpper

m_kNNValid

m_MeanSquared

m_NNSearch

m_NumAttributesUsed

m_NumClasses

m_Train

m_WindowSize

Class weka.classifiers.lazy.KStar extends weka.classifiers.AbstractClassifier implements Serializable

Serialized Fields

m_BlendMethod

m_Cache

m_ClassType

m_ComputeRandomCols

m_GlobalBlend

m_InitFlag

m_MissingMode

m_NumAttributes

m_NumClasses

m_NumInstances

m_RandClassCols

m_Train

Class weka.classifiers.lazy.LWL extends weka.classifiers.SingleClassifierEnhancer implements Serializable

Serialized Fields

m_kNN

m_NNSearch

m_Train

m_UseAllK

m_WeightKernel

m_ZeroR