Examples of MiningModel

Examples of org.dmg.pmml31.MiningModelDocument.MiningModel

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        }       
        pmmlObject.setDataDictionary(mPMML.getDataDictionary());
        pmmlObject.getDataDictionary().setDataFieldArray(dataFields);
               
        //ModelStat
        MiningModel miningModel = pmmlObject.addNewMiningModel();
        miningModel.setModelName("Statistica");
        org.dmg.pmml31.ModelStatsDocument.ModelStats modelStats =
            miningModel.addNewModelStats();
       
        for(int i=0; i<columnCount; i++)
        {
            UnivariateStats statfield = modelStats.addNewUnivariateStats();
            statfield.setField(colInfo[i].getName());
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Examples of org.dmg.pmml31.MiningModelDocument.MiningModel

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            // all attribute are continuous in this phase
            dataField.setOptype(OPTYPE.CONTINUOUS);        
        }
       
        //ModelStat
        MiningModel miningModel = pmmlObject.addNewMiningModel();
        miningModel.setModelName("Statistica");
        org.dmg.pmml31.ModelStatsDocument.ModelStats modelStats =
            miningModel.addNewModelStats();
       
        for (int i=0; i<columnCount; i++)
        {
            UnivariateStats statfield = modelStats.addNewUnivariateStats();
            statfield.setField(colInfo[i].getName());
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Examples of pattern.model.MiningModel

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  public Classifier(String pmmlUri) throws PatternException {
    try {
      PMML pmml = new PMML(getSourceReader(pmmlUri));

      if (PMML.Models.MINING.equals(pmml.model_type))
        model = new MiningModel(pmml);
      else if (PMML.Models.TREE.equals(pmml.model_type))
        model = new TreeModel(pmml);
      else if (PMML.Models.REGRESSION.equals(pmml.model_type))
        model = new RegressionModel(pmml);
      else if (PMML.Models.CLUSTERING.equals(pmml.model_type))
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