Examples of multiValidate()

Examples of cz.zcu.fav.liks.ml.featuresel.validation.CrossValidator.multiValidate()

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      print("MI(0,6)");
      cv.multiValidate(features, trainer, 10, data, new MutualInformation(), 0.6);

      print("MI(0,7)");
      cv.multiValidate(features, trainer, 10, data, new MutualInformation(), 0.7);

      print("MI(0,8)");
      cv.multiValidate(features, trainer, 10, data, new MutualInformation(), 0.8);

      print("IG(0,6)");
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Examples of cz.zcu.fav.liks.ml.featuresel.validation.CrossValidator.multiValidate()

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      print("MI(0,7)");
      cv.multiValidate(features, trainer, 10, data, new MutualInformation(), 0.7);

      print("MI(0,8)");
      cv.multiValidate(features, trainer, 10, data, new MutualInformation(), 0.8);

      print("IG(0,6)");
      cv.multiValidate(features, trainer, 10, data, new InformationGain(), 0.6);

      print("IG(0,7)");
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Examples of cz.zcu.fav.liks.ml.featuresel.validation.CrossValidator.multiValidate()

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      print("MI(0,8)");
      cv.multiValidate(features, trainer, 10, data, new MutualInformation(), 0.8);

      print("IG(0,6)");
      cv.multiValidate(features, trainer, 10, data, new InformationGain(), 0.6);

      print("IG(0,7)");
      cv.multiValidate(features, trainer, 10, data, new InformationGain(), 0.7);

      print("IG(0,8)");
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Examples of cz.zcu.fav.liks.ml.featuresel.validation.CrossValidator.multiValidate()

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      print("IG(0,6)");
      cv.multiValidate(features, trainer, 10, data, new InformationGain(), 0.6);

      print("IG(0,7)");
      cv.multiValidate(features, trainer, 10, data, new InformationGain(), 0.7);

      print("IG(0,8)");
      cv.multiValidate(features, trainer, 10, data, new InformationGain(), 0.8);

      print("IG(0,9)");
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Examples of cz.zcu.fav.liks.ml.featuresel.validation.CrossValidator.multiValidate()

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      print("IG(0,7)");
      cv.multiValidate(features, trainer, 10, data, new InformationGain(), 0.7);

      print("IG(0,8)");
      cv.multiValidate(features, trainer, 10, data, new InformationGain(), 0.8);

      print("IG(0,9)");
      cv.multiValidate(features, trainer, 10, data, new InformationGain(), 0.9);

      print("OR(0,9)");
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Examples of cz.zcu.fav.liks.ml.featuresel.validation.CrossValidator.multiValidate()

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      print("IG(0,8)");
      cv.multiValidate(features, trainer, 10, data, new InformationGain(), 0.8);

      print("IG(0,9)");
      cv.multiValidate(features, trainer, 10, data, new InformationGain(), 0.9);

      print("OR(0,9)");
      cv.multiValidate(features, trainer, 10, data, new OddsRatio(), 0.9);

    } catch (SQLException e) {
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Examples of cz.zcu.fav.liks.ml.featuresel.validation.CrossValidator.multiValidate()

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      print("IG(0,9)");
      cv.multiValidate(features, trainer, 10, data, new InformationGain(), 0.9);

      print("OR(0,9)");
      cv.multiValidate(features, trainer, 10, data, new OddsRatio(), 0.9);

    } catch (SQLException e) {
      e.printStackTrace();
    } catch (IllegalArgumentException e) {
      e.printStackTrace();
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Examples of cz.zcu.fav.liks.ml.featuresel.validation.CrossValidator.multiValidate()

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      System.out.println("Datasize " + data.size());

      print("Empty Feature");
      features.add(new EmptyFeature());
      cv.multiValidate(features, trainer, 10, data, null, 0);

      print("Statement Count");
      features.add(new StatementCountFeature());
      cv.multiValidate(features, trainer, 10, data, null, 0);
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Examples of cz.zcu.fav.liks.ml.featuresel.validation.CrossValidator.multiValidate()

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      features.add(new EmptyFeature());
      cv.multiValidate(features, trainer, 10, data, null, 0);

      print("Statement Count");
      features.add(new StatementCountFeature());
      cv.multiValidate(features, trainer, 10, data, null, 0);

      print("Threshold 0");
      features.clear();
      features.add(new ThresholdFeature(0));
      cv.multiValidate(features, trainer, 10, data, null, 0);
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Examples of cz.zcu.fav.liks.ml.featuresel.validation.CrossValidator.multiValidate()

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      cv.multiValidate(features, trainer, 10, data, null, 0);

      print("Threshold 0");
      features.clear();
      features.add(new ThresholdFeature(0));
      cv.multiValidate(features, trainer, 10, data, null, 0);

      print("Lemma");
      features.clear();
      features.add(new LemmaFeature(0));
      cv.multiValidate(features, trainer, 10, data, null, 0);
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