Examples of TextRulerLearnerParameter

org.apache.uima.ruta.textruler.extension.TextRulerLearnerParameter
With your TextRulerLearnerFactory-class you can specify some parameters your algorithm has (e.g. a window size for extracting features around a token or such). This is done with an array of TextRulerLearnerParameter objects. In the TextRuler UI in Eclipse some widgets get automatically created for those parameters if the algorithm is selected in the algorithm list.

Examples of org.apache.uima.ruta.textruler.extension.TextRulerLearnerParameter

    TextRulerLearnerFactory f = algorithmController.getFactory();
    TextRulerLearnerParameter[] params = f.getAlgorithmParameters();
    Map<String, Object> values = f.getAlgorithmParameterStandardValues();
    if (params != null) {
      for (int i = 0; i < params.length; i++) {
        TextRulerLearnerParameter p = params[i];
        String id = algorithmController.getID() + "." + p.id;
        FieldEditor l = null;
        switch (p.type) {
          case ML_BOOL_PARAM: {
            l = new BooleanFieldEditor(id, p.name, top);

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Examples of org.apache.uima.ruta.textruler.extension.TextRulerLearnerParameter

    TextRulerLearnerParameter[] result = new TextRulerLearnerParameter[2];
//    result[0] = new TextRulerLearnerParameter(KEPLearner.FILLER_WINDOW,
//            "fillerWindow", MLAlgorithmParamType.ML_INT_PARAM);
//    result[1] = new TextRulerLearnerParameter(KEPLearner.MAX_FILLER_LENGTH,
//            "maxFillerLength", MLAlgorithmParamType.ML_INT_PARAM);
    result[0] = new TextRulerLearnerParameter(KEPLearner.MAX_EXPAND_RULES,
            "Maximum number of \"Expand Rules\"", MLAlgorithmParamType.ML_INT_PARAM);
    result[1] = new TextRulerLearnerParameter(KEPLearner.MAX_INFILLER_RULES,
            "Maximum number of \"Infiller Rules\"", MLAlgorithmParamType.ML_INT_PARAM);
    return result;
  }

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Examples of org.apache.uima.ruta.textruler.extension.TextRulerLearnerParameter

  }


  public TextRulerLearnerParameter[] getAlgorithmParameters() {
    TextRulerLearnerParameter[] result = new TextRulerLearnerParameter[4];


    result[0] = new TextRulerLearnerParameter(Whisk.WINDOWSIZE_KEY, "Window Size",
            MLAlgorithmParamType.ML_INT_PARAM);
    result[1] = new TextRulerLearnerParameter(Whisk.ERROR_THRESHOLD_KEY, "Maximum Error Threshold",
            MLAlgorithmParamType.ML_FLOAT_PARAM);
    result[2] = new TextRulerLearnerParameter(Whisk.POSTAG_ROOTTYPE_KEY, "PosTag Root Type",
            MLAlgorithmParamType.ML_STRING_PARAM);
    result[3] = new TextRulerLearnerParameter(Whisk.CONSIDERED_FEATURES, "Considered Features (comma-separated)",
            MLAlgorithmParamType.ML_STRING_PARAM);
    return result;
  }

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Examples of org.apache.uima.ruta.textruler.extension.TextRulerLearnerParameter

    TextRulerLearnerFactory f = algorithmController.getFactory();
    TextRulerLearnerParameter[] params = f.getAlgorithmParameters();
    Map<String, Object> values = f.getAlgorithmParameterStandardValues();
    if (params != null) {
      for (int i = 0; i < params.length; i++) {
        TextRulerLearnerParameter p = params[i];
        String id = algorithmController.getID() + "." + p.id;
        FieldEditor l = null;
        switch (p.type) {
          case ML_BOOL_PARAM: {
            l = new BooleanFieldEditor(id, p.name, top);

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Examples of org.apache.uima.ruta.textruler.extension.TextRulerLearnerParameter

    TextRulerLearnerFactory f = algorithmController.getFactory();
    TextRulerLearnerParameter[] params = f.getAlgorithmParameters();
    Map<String, Object> values = f.getAlgorithmParameterStandardValues();
    if (params != null) {
      for (int i = 0; i < params.length; i++) {
        TextRulerLearnerParameter p = params[i];
        String id = algorithmController.getID() + "." + p.id;
        FieldEditor l = null;
        switch (p.type) {
          case ML_BOOL_PARAM: {
            l = new BooleanFieldEditor(id, p.name, top);

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Examples of org.apache.uima.ruta.textruler.extension.TextRulerLearnerParameter

    IPreferenceStore store = TextRulerPlugin.getDefault().getPreferenceStore();
    TextRulerLearnerFactory f = algorithmController.getFactory();
    TextRulerLearnerParameter[] params = f.getAlgorithmParameters();
    if (params != null) {
      for (int i = 0; i < params.length; i++) {
        TextRulerLearnerParameter p = params[i];
        String id = algorithmController.getID() + "." + p.id;
        switch (p.type) {
          case ML_BOOL_PARAM: {
            result.put(p.id, store.getBoolean(id));
            break;

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Examples of org.apache.uima.ruta.textruler.extension.TextRulerLearnerParameter

  }


  public TextRulerLearnerParameter[] getAlgorithmParameters() {
    TextRulerLearnerParameter[] result = new TextRulerLearnerParameter[8];


    result[0] = new TextRulerLearnerParameter(Rapier.COMPRESSION_FAIL_MAX_COUNT_KEY,
            "Maximum Compression Fail Count", MLAlgorithmParamType.ML_INT_PARAM);
    result[1] = new TextRulerLearnerParameter(Rapier.RULELIST_SIZE_KEY, "Internal Rules List Size",
            MLAlgorithmParamType.ML_INT_PARAM);
    result[2] = new TextRulerLearnerParameter(Rapier.PAIR_COUNT_KEY, "Rule Pairs for Generalizing",
            MLAlgorithmParamType.ML_INT_PARAM);
    result[3] = new TextRulerLearnerParameter(Rapier.LIM_NO_IMPROVEMENTS_KEY,
            "Maximum 'No improvement' Count", MLAlgorithmParamType.ML_INT_PARAM);
    result[4] = new TextRulerLearnerParameter(Rapier.NOISE_THESHOLD_KEY, "Maximum Noise Threshold",
            MLAlgorithmParamType.ML_FLOAT_PARAM);
    result[5] = new TextRulerLearnerParameter(Rapier.MIN_COVERED_POSITIVES_KEY,
            "Minimum Covered Positives Per Rule", MLAlgorithmParamType.ML_INT_PARAM);
    result[6] = new TextRulerLearnerParameter(Rapier.POSTAG_ROOTTYPE_KEY, "PosTag Root Type",
            MLAlgorithmParamType.ML_STRING_PARAM);
    result[7] = new TextRulerLearnerParameter(Rapier.USE_ALL_GENSETS_AT_SPECIALIZATION_KEY,
            "Use All 3 GenSets at Specialization", MLAlgorithmParamType.ML_BOOL_PARAM);
    return result;
  }

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Examples of org.apache.uima.ruta.textruler.extension.TextRulerLearnerParameter

    TextRulerLearnerFactory f = algorithmController.getFactory();
    TextRulerLearnerParameter[] params = f.getAlgorithmParameters();
    Map<String, Object> values = f.getAlgorithmParameterStandardValues();
    if (params != null) {
      for (int i = 0; i < params.length; i++) {
        TextRulerLearnerParameter p = params[i];
        String id = algorithmController.getID() + "." + p.id;
        FieldEditor l = null;
        switch (p.type) {
          case ML_BOOL_PARAM: {
            l = new BooleanFieldEditor(id, p.name, getFieldEditorParent());

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Examples of org.apache.uima.ruta.textruler.extension.TextRulerLearnerParameter

    IPreferenceStore store = TextRulerPlugin.getDefault().getPreferenceStore();
    TextRulerLearnerFactory f = algorithmController.getFactory();
    TextRulerLearnerParameter[] params = f.getAlgorithmParameters();
    if (params != null) {
      for (int i = 0; i < params.length; i++) {
        TextRulerLearnerParameter p = params[i];
        String id = algorithmController.getID() + "." + p.id;
        switch (p.type) {
          case ML_BOOL_PARAM: {
            result.put(p.id, store.getBoolean(id));
            break;

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Examples of org.apache.uima.ruta.textruler.extension.TextRulerLearnerParameter

  }


  public TextRulerLearnerParameter[] getAlgorithmParameters() {
    TextRulerLearnerParameter[] result = new TextRulerLearnerParameter[3];


    result[0] = new TextRulerLearnerParameter(Whisk.WINDOWSIZE_KEY, "Window Size",
            MLAlgorithmParamType.ML_INT_PARAM);
    result[1] = new TextRulerLearnerParameter(Whisk.ERROR_THRESHOLD_KEY, "Maximum Error Threshold",
            MLAlgorithmParamType.ML_FLOAT_PARAM);
    result[2] = new TextRulerLearnerParameter(Whisk.POSTAG_ROOTTYPE_KEY, "PosTag Root Type",
            MLAlgorithmParamType.ML_STRING_PARAM);


    return result;
  }

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