Package weka.core

Examples of weka.core.Instances.renameAttribute()

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    for(int i = 0; i < instanceInfo.numAttributes(); i++) {
      if (i != instanceInfo.classIndex()) {
        if (m_SelectedCols.isInRange(i)) {
          if (outputFormat.attribute(i).isNominal()
              || outputFormat.attribute(i).isNumeric()) {
            outputFormat.renameAttribute(i, outputFormat.attribute(i).name()
                                         + (m_InstanceRange < 0 ? '-' : '+')
                                         + Math.abs(m_InstanceRange));
          } else {
            throw new UnsupportedAttributeTypeException("Only numeric and nominal attributes may be "
                                                        + " manipulated in time series.");
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    for(int i = 0; i < instanceInfo.numAttributes(); i++) {
      if (i != instanceInfo.classIndex()) {
        if (m_SelectedCols.isInRange(i)) {
          if (outputFormat.attribute(i).isNominal()
              || outputFormat.attribute(i).isNumeric()) {
            outputFormat.renameAttribute(i, outputFormat.attribute(i).name()
                                         + (m_InstanceRange < 0 ? '-' : '+')
                                         + Math.abs(m_InstanceRange));
          } else {
            throw new UnsupportedAttributeTypeException("Only numeric and nominal attributes may be "
                                                        + " manipulated in time series.");
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    Instances outputFormat = new Instances(instanceInfo, 0);
    for(int i = 0; i < instanceInfo.numAttributes(); i++) {
      if (i != instanceInfo.classIndex()) {
        if (m_SelectedCols.isInRange(i)) {
          if (outputFormat.attribute(i).isNumeric()) {
            outputFormat.renameAttribute(i, outputFormat.attribute(i).name()
                                         + " d"
                                         + (m_InstanceRange < 0 ? '-' : '+')
                                         + Math.abs(m_InstanceRange));
          } else {
            throw new UnsupportedAttributeTypeException("Time delta attributes must be numeric!");
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    Instances outputFormat = new Instances(instanceInfo, 0);
    for(int i = 0; i < instanceInfo.numAttributes(); i++) {
      if (i != instanceInfo.classIndex()) {
        if (m_SelectedCols.isInRange(i)) {
          if (outputFormat.attribute(i).isNumeric()) {
            outputFormat.renameAttribute(i, outputFormat.attribute(i).name()
                                         + " d"
                                         + (m_InstanceRange < 0 ? '-' : '+')
                                         + Math.abs(m_InstanceRange));
          } else {
            throw new UnsupportedAttributeTypeException("Time delta attributes must be numeric!");
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    for(int i = 0; i < instanceInfo.numAttributes(); i++) {
      if (i != instanceInfo.classIndex()) {
        if (m_SelectedCols.isInRange(i)) {
          if (outputFormat.attribute(i).isNominal()
              || outputFormat.attribute(i).isNumeric()) {
            outputFormat.renameAttribute(i, outputFormat.attribute(i).name()
                                         + (m_InstanceRange < 0 ? '-' : '+')
                                         + Math.abs(m_InstanceRange));
          } else {
            throw new UnsupportedAttributeTypeException("Only numeric and nominal attributes may be "
                                                        + " manipulated in time series.");
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      int current = m_SelectedAttributes[i];
      // Create a copy of the attribute with a different name
      Attribute origAttribute = instanceInfo.attribute(current);
      outputFormat.insertAttributeAt((Attribute)origAttribute.copy(),
             outputFormat.numAttributes());
      outputFormat.renameAttribute(outputFormat.numAttributes() - 1,
           "Copy of " + origAttribute.name());

    }

    // adapt locators
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    for(int i = 0; i < instanceInfo.numAttributes(); i++) {
      if (i != instanceInfo.classIndex()) {
        if (m_SelectedCols.isInRange(i)) {
          if (outputFormat.attribute(i).isNominal()
              || outputFormat.attribute(i).isNumeric()) {
            outputFormat.renameAttribute(i, outputFormat.attribute(i).name()
                                         + (m_InstanceRange < 0 ? '-' : '+')
                                         + Math.abs(m_InstanceRange));
          } else {
            throw new UnsupportedAttributeTypeException("Only numeric and nominal attributes may be "
                                                        + " manipulated in time series.");
View Full Code Here
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    Instances outputFormat = new Instances(instanceInfo, 0);
    for(int i = 0; i < instanceInfo.numAttributes(); i++) {
      if (i != instanceInfo.classIndex()) {
        if (m_SelectedCols.isInRange(i)) {
          if (outputFormat.attribute(i).isNumeric()) {
            outputFormat.renameAttribute(i, outputFormat.attribute(i).name()
                                         + " d"
                                         + (m_InstanceRange < 0 ? '-' : '+')
                                         + Math.abs(m_InstanceRange));
          } else {
            throw new UnsupportedAttributeTypeException("Time delta attributes must be numeric!");
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