类 GeneralRegression

所有已实现的接口:
Serializable, Cloneable, CapabilitiesHandler, OptionHandler, PMMLModel, RevisionHandler

public class GeneralRegression extends PMMLClassifier implements Serializable
Class implementing import of PMML General Regression model. Can be used as a Weka classifier for prediction (buildClassifier() raises an Exception).
版本:
$Revision: 5562 $
作者:
Mark Hall (mhall{[at]}pentaho{[dot]}com)
另请参阅:
  • 构造器详细资料

    • GeneralRegression

      public GeneralRegression(Element model, Instances dataDictionary, MiningSchema miningSchema) throws Exception
      Constructs a GeneralRegression classifier.
      参数:
      model - the Element that holds the model definition
      dataDictionary - the data dictionary as a set of Instances
      miningSchema - the mining schema
      抛出:
      Exception - if there is a problem constructing the general regression object from the PMML.
  • 方法详细资料

    • toString

      public String toString()
      Return a textual description of this general regression.
      覆盖:
      toString 在类中 Object
      返回:
      a description of this general regression
    • distributionForInstance

      public double[] distributionForInstance(Instance inst) throws Exception
      Classifies the given test instance. The instance has to belong to a dataset when it's being classified.
      覆盖:
      distributionForInstance 在类中 Classifier
      参数:
      inst - the instance to be classified
      返回:
      the predicted most likely class for the instance or Instance.missingValue() if no prediction is made
      抛出:
      Exception - if an error occurred during the prediction
    • getRevision

      public String getRevision()
      从类复制的说明: Classifier
      Returns the revision string.
      指定者:
      getRevision 在接口中 RevisionHandler
      覆盖:
      getRevision 在类中 Classifier
      返回:
      the revision