Package org.apache.uima.ruta.textruler.extension

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

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    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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    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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  }

  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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    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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    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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    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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  }

  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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    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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    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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  }

  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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Related Classes of org.apache.uima.ruta.textruler.extension.TextRulerLearnerParameter

  • org.apache.uima.ruta.textruler.learner.kep.KEPFactory
  • org.apache.uima.ruta.textruler.learner.kep.KEPPreferencePage
  • org.apache.uima.ruta.textruler.learner.lp2.NaiveLP2Factory
  • org.apache.uima.ruta.textruler.learner.lp2.NaiveLP2PreferencePage
  • org.apache.uima.ruta.textruler.learner.lp2.OptimizedLP2Factory
  • org.apache.uima.ruta.textruler.learner.lp2.OptimizedLP2PreferencePage
  • org.apache.uima.ruta.textruler.learner.rapier.RapierFactory
  • org.apache.uima.ruta.textruler.learner.rapier.RapierPreferencePage
  • org.apache.uima.ruta.textruler.learner.trabal.TrabalFactory
  • org.apache.uima.ruta.textruler.learner.trabal.TrabalPreferencePage
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