List of printFooter() Examples

Examples of printFooter()

net.sf.flatpack.writer.Writer.printFooter()
org.apache.commons.cli2.util.HelpFormatter.printFooter()
Prints a footer string if necessary
weka.classifiers.evaluation.output.prediction.AbstractOutput.printFooter()
Prints the footer to the buffer. This will also store the generated output in a file if an output file was specified. @throws Exception if check fails

Examples of org.apache.commons.cli2.util.HelpFormatter.printFooter()

    HelpFormatter formatter = new HelpFormatter();
    formatter.setGroup(group);
    formatter.setPrintWriter(pw);
    formatter.printHelp();
    formatter.setFooter("Specify HDFS directories while running on hadoop; else specify local file system directories");
    formatter.printFooter();


    pw.flush();
  }


  public static void printHelpWithGenericOptions(Group group, OptionException oe) throws IOException {

View Full Code Here

Examples of weka.classifiers.evaluation.output.prediction.AbstractOutput.printFooter()

      evaluateModel(copiedClassifier, test, forPredictionsPrinting);
    }
    m_NumFolds = numFolds;


    if (classificationOutput != null)
      classificationOutput.printFooter();
  }


  /**
   * Performs a (stratified if class is nominal) cross-validation
   * for a classifier on a set of instances.

View Full Code Here

Examples of weka.classifiers.evaluation.output.prediction.AbstractOutput.printFooter()

      m_Log.statusMessage("Evaluating on training data. Processed "
              +jj+" instances...");
    }
        }
        if (outputPredictionsText)
    classificationOutput.printFooter();
        if (outputPredictionsText && classificationOutput.generatesOutput()) {
    outBuff.append("\n");
        } 
        outBuff.append("=== Evaluation on training set ===\n");
        break;

View Full Code Here

Examples of weka.classifiers.evaluation.output.prediction.AbstractOutput.printFooter()

        classificationOutput.printClassification(current, test.instance(jj), jj);
      }
    }
        }
        if (outputPredictionsText)
    classificationOutput.printFooter();
        if (outputPredictionsText) {
    outBuff.append("\n");
        } 
        if (inst.attribute(classIndex).isNominal()) {
    outBuff.append("=== Stratified cross-validation ===\n");

View Full Code Here

Examples of weka.classifiers.evaluation.output.prediction.AbstractOutput.printFooter()

      m_Log.statusMessage("Evaluating on test split. Processed "
              +jj+" instances...");
    }
        }
        if (outputPredictionsText)
    classificationOutput.printFooter();
        if (outputPredictionsText) {
    outBuff.append("\n");
        } 
        outBuff.append("=== Evaluation on test split ===\n");
        break;

View Full Code Here

Examples of weka.classifiers.evaluation.output.prediction.AbstractOutput.printFooter()

          +jj+" instances...");
    }
        }


        if (outputPredictionsText)
    classificationOutput.printFooter();
        if (outputPredictionsText) {
    outBuff.append("\n");
        } 
        outBuff.append("=== Evaluation on test set ===\n");
        break;

View Full Code Here

Examples of weka.classifiers.evaluation.output.prediction.AbstractOutput.printFooter()

          +jj+" instances...");
    }
        }


        if (outputPredictionsText)
    classificationOutput.printFooter();
              if (outputPredictionsText && classificationOutput.generatesOutput()) {
                outBuff.append("\n");
              } 
      
              if (outputSummary) {

View Full Code Here

Examples of weka.classifiers.evaluation.output.prediction.AbstractOutput.printFooter()

      evaluateModel(copiedClassifier, test, forPredictionsPrinting);
    }
    m_NumFolds = numFolds;


    if (classificationOutput != null)
      classificationOutput.printFooter();
  }


  /**
   * Performs a (stratified if class is nominal) cross-validation
   * for a classifier on a set of instances.

View Full Code Here

Examples of weka.classifiers.evaluation.output.prediction.AbstractOutput.printFooter()

      m_Log.statusMessage("Evaluating on training data. Processed "
              +jj+" instances...");
    }
        }
        if (outputPredictionsText)
    classificationOutput.printFooter();
        if (outputPredictionsText && classificationOutput.generatesOutput()) {
    outBuff.append("\n");
        } 
        outBuff.append("=== Evaluation on training set ===\n");
        break;

View Full Code Here

Examples of weka.classifiers.evaluation.output.prediction.AbstractOutput.printFooter()

        classificationOutput.printClassification(current, test.instance(jj), jj);
      }
    }
        }
        if (outputPredictionsText)
    classificationOutput.printFooter();
        if (outputPredictionsText) {
    outBuff.append("\n");
        } 
        if (inst.attribute(classIndex).isNominal()) {
    outBuff.append("=== Stratified cross-validation ===\n");

View Full Code Here

0 1 2

TOP

All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.