Package cascading.pattern.model.generalregression.normalization

Examples of cascading.pattern.model.generalregression.normalization.SoftMaxNormalization

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      case NONE:
        return Normalization.NONE;
      case SIMPLEMAX:
        break;
      case SOFTMAX:
        return new SoftMaxNormalization();
      case LOGIT:
        break;
      case PROBIT:
        break;
      case CLOGLOG:
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    modelSchema.setPredictedCategories( "species", "setosa", "versicolor", "virginica" );

    GeneralRegressionSpec regressionSpec = new GeneralRegressionSpec( modelSchema );

    regressionSpec.setNormalization( new SoftMaxNormalization() );

    {
    RegressionTable regressionTable = new RegressionTable( "versicolor" );

    regressionTable.addParameter( new Parameter( "intercept", 86.7061379450354d ) );
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Related Classes of cascading.pattern.model.generalregression.normalization.SoftMaxNormalization

  • cascading.pattern.model.ModelTest
  • cascading.pattern.pmml.RegressionUtil
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