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News algorithms Improvements in configuration files Documentation and API update
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<configuration> | ||
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<classifier name="miml.classifiers.miml.mimlTOmi.MIMLClassifierToMI"> | ||
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<transformationMethod name="miml.classifiers.miml.mimlTOmi.MIMLBinaryRelevance"/> | ||
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<multiInstanceClassifier name="weka.classifiers.mi.MINND"> | ||
<listOptions> | ||
-K 10 -S 1 -E 1 | ||
</listOptions> | ||
</multiInstanceClassifier> | ||
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</classifier> | ||
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<evaluator name="miml.evaluation.EvaluatorHoldout"> | ||
<data> | ||
<trainFile>data/miml_birds_random_80train.arff</trainFile> | ||
<testFile>data/miml_birds_random_20test.arff</testFile> | ||
<xmlFile>data/miml_birds.xml</xmlFile> | ||
</data> | ||
</evaluator> | ||
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<report name="miml.report.BaseMIMLReport"> | ||
<fileName>results/toMI/BR_MINND.csv</fileName> | ||
<standardDeviation>false</standardDeviation> | ||
<header>true</header> | ||
<measures perLabel="false"> | ||
<measure>Hamming Loss</measure> | ||
<measure>Subset Accuracy</measure> | ||
<measure>Macro-averaged Precision</measure> | ||
<measure>Macro-averaged F-Measure</measure> | ||
</measures> | ||
</report> | ||
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</configuration> |
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<configuration> | ||
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<classifier name="miml.classifiers.miml.mimlTOmi.MIMLClassifierToMI"> | ||
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<transformationMethod name="miml.classifiers.miml.mimlTOmi.MIMLBinaryRelevance"/> | ||
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<multiInstanceClassifier name="weka.classifiers.mi.TLC"> | ||
<listOptions> | ||
-P weka.classifiers.trees.J48 -W weka.classifiers.meta.LogitBoost -- -S 1 -I 10 -W weka.classifiers.trees.DecisionStump | ||
</listOptions> | ||
</multiInstanceClassifier> | ||
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</classifier> | ||
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<evaluator name="miml.evaluation.EvaluatorHoldout"> | ||
<data> | ||
<trainFile>data/miml_birds_random_80train.arff</trainFile> | ||
<testFile>data/miml_birds_random_20test.arff</testFile> | ||
<xmlFile>data/miml_birds.xml</xmlFile> | ||
</data> | ||
</evaluator> | ||
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<report name="miml.report.BaseMIMLReport"> | ||
<fileName>results/toMI/BR_TLC.csv</fileName> | ||
<standardDeviation>false</standardDeviation> | ||
<header>true</header> | ||
<measures perLabel="false"> | ||
<measure>Hamming Loss</measure> | ||
<measure>Subset Accuracy</measure> | ||
<measure>Macro-averaged Precision</measure> | ||
<measure>Macro-averaged F-Measure</measure> | ||
</measures> | ||
</report> | ||
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</configuration> |
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<configuration> | ||
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<classifier name="miml.classifiers.miml.mimlTOmi.MIMLClassifierToMI"> | ||
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<transformationMethod name="miml.classifiers.miml.mimlTOmi.MIMLLabelPowerset"/> | ||
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<multiInstanceClassifier name="weka.classifiers.mi.MINND"> | ||
<listOptions> | ||
-K 10 -S 1 -E 1 | ||
</listOptions> | ||
</multiInstanceClassifier> | ||
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</classifier> | ||
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<evaluator name="miml.evaluation.EvaluatorHoldout"> | ||
<data> | ||
<trainFile>data/miml_birds_random_80train.arff</trainFile> | ||
<testFile>data/miml_birds_random_20test.arff</testFile> | ||
<xmlFile>data/miml_birds.xml</xmlFile> | ||
</data> | ||
</evaluator> | ||
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<report name="miml.report.BaseMIMLReport"> | ||
<fileName>results/toMI/LP_MINND.csv</fileName> | ||
<standardDeviation>false</standardDeviation> | ||
<header>true</header> | ||
<measures perLabel="false"> | ||
<measure>Hamming Loss</measure> | ||
<measure>Subset Accuracy</measure> | ||
<measure>Macro-averaged Precision</measure> | ||
<measure>Macro-averaged F-Measure</measure> | ||
</measures> | ||
</report> | ||
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</configuration> |
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<configuration> | ||
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<classifier name="miml.classifiers.miml.mimlTOmi.MIMLClassifierToMI"> | ||
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<transformationMethod name="miml.classifiers.miml.mimlTOmi.MIMLLabelPowerset"/> | ||
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<multiInstanceClassifier name="miml.classifiers.mi.MISMOWrapper"> | ||
<listOptions> | ||
-L 1.0e-3 -P 1.0e-12 -N 0 -V 5 | ||
</listOptions> | ||
</multiInstanceClassifier> | ||
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</classifier> | ||
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<evaluator name="miml.evaluation.EvaluatorHoldout"> | ||
<data> | ||
<trainFile>data/miml_birds_random_80train.arff</trainFile> | ||
<testFile>data/miml_birds_random_20test.arff</testFile> | ||
<xmlFile>data/miml_birds.xml</xmlFile> | ||
</data> | ||
</evaluator> | ||
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<report name="miml.report.BaseMIMLReport"> | ||
<fileName>results/toMI/LP_MISMO.csv</fileName> | ||
<standardDeviation>false</standardDeviation> | ||
<header>true</header> | ||
<measures perLabel="false"> | ||
<measure>Hamming Loss</measure> | ||
<measure>Subset Accuracy</measure> | ||
<measure>Macro-averaged Precision</measure> | ||
<measure>Macro-averaged F-Measure</measure> | ||
</measures> | ||
</report> | ||
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</configuration> |
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<configuration> | ||
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<classifier name="miml.classifiers.miml.mimlTOmi.MIMLClassifierToMI"> | ||
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<transformationMethod name="miml.classifiers.miml.mimlTOmi.MIMLLabelPowerset"/> | ||
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<multiInstanceClassifier name="weka.classifiers.mi.TLC"> | ||
<listOptions> | ||
-P weka.classifiers.trees.J48 -W weka.classifiers.meta.LogitBoost -- -S 1 -I 10 -W weka.classifiers.trees.DecisionStump | ||
</listOptions> | ||
</multiInstanceClassifier> | ||
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</classifier> | ||
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<evaluator name="miml.evaluation.EvaluatorHoldout"> | ||
<data> | ||
<trainFile>data/miml_birds_random_80train.arff</trainFile> | ||
<testFile>data/miml_birds_random_20test.arff</testFile> | ||
<xmlFile>data/miml_birds.xml</xmlFile> | ||
</data> | ||
</evaluator> | ||
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<report name="miml.report.BaseMIMLReport"> | ||
<fileName>results/toMI/LP_TLC.csv</fileName> | ||
<standardDeviation>false</standardDeviation> | ||
<header>true</header> | ||
<measures perLabel="false"> | ||
<measure>Hamming Loss</measure> | ||
<measure>Subset Accuracy</measure> | ||
<measure>Macro-averaged Precision</measure> | ||
<measure>Macro-averaged F-Measure</measure> | ||
</measures> | ||
</report> | ||
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</configuration> |
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<configuration> | ||
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<classifier name="miml.classifiers.miml.mimlTOml.MIMLClassifierToML"> | ||
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<multiLabelClassifier name="miml.classifiers.ml.MLDGC"> | ||
<parameters> | ||
<parameter class="int.class" value="10"/> | ||
</parameters> | ||
</multiLabelClassifier> | ||
<transformationMethod name="miml.transformation.mimlTOml.ArithmeticTransformation"/> | ||
</classifier> | ||
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<evaluator name="miml.evaluation.EvaluatorCV"> | ||
<numFolds>5</numFolds> | ||
<data> | ||
<file>data/miml_birds.arff</file> | ||
<xmlFile>data/miml_birds.xml</xmlFile> | ||
</data> | ||
</evaluator> | ||
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<report name="miml.report.BaseMIMLReport"> | ||
<fileName>results/toML/AT_MLDGC.csv</fileName> | ||
<standardDeviation>false</standardDeviation> | ||
<header>true</header> | ||
<measures perLabel="false"> | ||
<measure>Hamming Loss</measure> | ||
<measure>Subset Accuracy</measure> | ||
<measure>Macro-averaged Precision</measure> | ||
<measure>Macro-averaged F-Measure</measure> | ||
</measures> | ||
</report> | ||
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</configuration> |
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<configuration> | ||
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<classifier name="miml.classifiers.miml.mimlTOml.MIMLClassifierToML"> | ||
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<multiLabelClassifier name="miml.classifiers.ml.RFPCT"> | ||
<parameters> | ||
<parameter class="String.class" value="clusFolder"/> | ||
<parameter class="String.class" value="clusBirds"/> | ||
<parameter class="int.class" value="10"/> | ||
<parameter class="long.class" value="1"/> | ||
</parameters> | ||
</multiLabelClassifier> | ||
<transformationMethod name="miml.transformation.mimlTOml.ArithmeticTransformation"/> | ||
</classifier> | ||
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<evaluator name="miml.evaluation.EvaluatorHoldoutClus"> | ||
<data> | ||
<trainFile>data/miml_birds_random_80train.arff</trainFile> | ||
<testFile>data/miml_birds_random_20test.arff</testFile> | ||
<xmlFile>data/miml_birds.xml</xmlFile> | ||
</data> | ||
<clusWorkingDir>clusFolder</clusWorkingDir> | ||
<clusDataset>clusBirds</clusDataset> | ||
</evaluator> | ||
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<report name="miml.report.BaseMIMLReport"> | ||
<fileName>results/toML/AT_RFPCT.csv</fileName> | ||
<standardDeviation>false</standardDeviation> | ||
<header>true</header> | ||
<measures perLabel="false"> | ||
<measure>Hamming Loss</measure> | ||
<measure>Subset Accuracy</measure> | ||
<measure>Macro-averaged Precision</measure> | ||
<measure>Macro-averaged F-Measure</measure> | ||
</measures> | ||
</report> | ||
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</configuration> |
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<configuration> | ||
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<classifier name="miml.classifiers.miml.mimlTOml.MIMLClassifierToML"> | ||
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<multiLabelClassifier name="miml.classifiers.ml.MLDGC"/> | ||
<transformationMethod name="miml.transformation.mimlTOml.GeometricTransformation"/> | ||
</classifier> | ||
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<evaluator name="miml.evaluation.EvaluatorCV"> | ||
<numFolds>5</numFolds> | ||
<data> | ||
<file>data/miml_birds.arff</file> | ||
<xmlFile>data/miml_birds.xml</xmlFile> | ||
</data> | ||
</evaluator> | ||
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<report name="miml.report.BaseMIMLReport"> | ||
<fileName>results/toML/GT_MLDGC.csv</fileName> | ||
<standardDeviation>false</standardDeviation> | ||
<header>true</header> | ||
<measures perLabel="false"> | ||
<measure>Hamming Loss</measure> | ||
<measure>Subset Accuracy</measure> | ||
<measure>Macro-averaged Precision</measure> | ||
<measure>Macro-averaged F-Measure</measure> | ||
</measures> | ||
</report> | ||
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</configuration> |
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<configuration> | ||
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<classifier name="miml.classifiers.miml.mimlTOml.MIMLClassifierToML"> | ||
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<multiLabelClassifier name="miml.classifiers.ml.RFPCT"> | ||
<parameters> | ||
<parameter class="String.class" value="clusFolder"/> | ||
<parameter class="String.class" value="clusBirds"/> | ||
<parameter class="int.class" value="10"/> | ||
<parameter class="long.class" value="1"/> | ||
</parameters> | ||
</multiLabelClassifier> | ||
<transformationMethod name="miml.transformation.mimlTOml.GeometricTransformation"/> | ||
</classifier> | ||
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<evaluator name="miml.evaluation.EvaluatorHoldoutClus"> | ||
<data> | ||
<trainFile>data/miml_birds_random_80train.arff</trainFile> | ||
<testFile>data/miml_birds_random_20test.arff</testFile> | ||
<xmlFile>data/miml_birds.xml</xmlFile> | ||
</data> | ||
<clusWorkingDir>clusFolder</clusWorkingDir> | ||
<clusDataset>clusBirds</clusDataset> | ||
</evaluator> | ||
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<report name="miml.report.BaseMIMLReport"> | ||
<fileName>results/toML/GT_RFPCT.csv</fileName> | ||
<standardDeviation>false</standardDeviation> | ||
<header>true</header> | ||
<measures perLabel="false"> | ||
<measure>Hamming Loss</measure> | ||
<measure>Subset Accuracy</measure> | ||
<measure>Macro-averaged Precision</measure> | ||
<measure>Macro-averaged F-Measure</measure> | ||
</measures> | ||
</report> | ||
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</configuration> |
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<configuration> | ||
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<classifier name="miml.classifiers.miml.mimlTOml.MIMLClassifierToML"> | ||
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<multiLabelClassifier name="mulan.classifier.transformation.BinaryRelevance"> | ||
<parameters> | ||
<parameter class="weka.classifiers.Classifier" value="weka.classifiers.lazy.IBk" listOptions="-K 3 -I"/> | ||
</parameters> | ||
</multiLabelClassifier> | ||
<transformationMethod name="miml.transformation.mimlTOml.KMeansTransformation"/> | ||
</classifier> | ||
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<evaluator name="miml.evaluation.EvaluatorHoldout"> | ||
<data> | ||
<trainFile>data/miml_birds_random_80train.arff</trainFile> | ||
<testFile>data/miml_birds_random_20test.arff</testFile> | ||
<xmlFile>data/miml_birds.xml</xmlFile> | ||
</data> | ||
</evaluator> | ||
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<report name="miml.report.BaseMIMLReport"> | ||
<fileName>results/toML/KMT_BR.csv</fileName> | ||
<standardDeviation>false</standardDeviation> | ||
<header>true</header> | ||
<measures perLabel="false"> | ||
<measure>Hamming Loss</measure> | ||
<measure>Subset Accuracy</measure> | ||
<measure>Macro-averaged Precision</measure> | ||
<measure>Macro-averaged F-Measure</measure> | ||
</measures> | ||
</report> | ||
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</configuration> |
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