# Pastebin xcQ3WI7h dataset_evaluator_1 | return _gaia2.Analyzer_analyze(self, *args) dataset_evaluator_1 | Exception: Normalize: Apply "cleaner" transformation before normalization. Division by zero in .tonal.chords_histogram dataset_evaluator_1 | INFO ClassificationTask | Running evaluation 0 for: /data/datasets/cc738c1b-75e3-4aa2-a878-8610367240bd/results/test1845179432983635467 with classifier svm and dataset basic dataset_evaluator_1 | INFO ClassificationTask | PID: 753, parameters: {"kernel": "poly", "C": -5, "preprocessing": "basic", "type": "C-SVC", "classifier": "svm", "gamma": 1} dataset_evaluator_1 | INFO ClassificationTask | Running evaluation 0 for: /data/datasets/cc738c1b-75e3-4aa2-a878-8610367240bd/results/test1845177432955635541 with classifier svm and dataset basic dataset_evaluator_1 | INFO ClassificationTask | PID: 754, parameters: {"kernel": "poly", "C": -5, "preprocessing": "basic", "type": "C-SVC", "classifier": "svm", "gamma": 3} dataset_evaluator_1 | ERROR ClassificationTask | While doing evaluation with param = {'kernel': 'poly', 'C': -5, 'preprocessing': 'basic', 'type': 'C-SVC', 'classifier': 'svm', 'gamma': -3} dataset_evaluator_1 | evaluation = [{'type': 'nfoldcrossvalidation', 'nfold': 5}] dataset_evaluator_1 | Traceback (most recent call last): dataset_evaluator_1 | File "/usr/local/lib/python2.7/site-packages/gaia2/classification/classificationtask.py", line 195, in dataset_evaluator_1 | task.run(className, outfilename, param, dsname, gtname, evalconfig) dataset_evaluator_1 | File "/usr/local/lib/python2.7/site-packages/gaia2/classification/classificationtask.py", line 177, in run dataset_evaluator_1 | confusion = evaluateNfold(evalparam['nfold'], ds, gt, trainerFun, **trainingparam) dataset_evaluator_1 | File "/usr/local/lib/python2.7/site-packages/gaia2/classification/evaluation.py", line 116, in evaluateNfold dataset_evaluator_1 | classifier = trainingFunc(trainds, traingt, *args, **kwargs) dataset_evaluator_1 | File "/usr/local/lib/python2.7/site-packages/gaia2/classification/classifier_SVM.py", line 35, in train_SVM dataset_evaluator_1 | ds = transform(ds, 'normalize', { 'independent': True }) dataset_evaluator_1 | File "/usr/local/lib/python2.7/site-packages/gaia2/__init__.py", line 4601, in transform dataset_evaluator_1 | return analyzer.analyze(dataset).applyToDataSet(dataset) dataset_evaluator_1 | File "/usr/local/lib/python2.7/site-packages/gaia2/__init__.py", line 1997, in analyze dataset_evaluator_1 | return _gaia2.Analyzer_analyze(self, *args) dataset_evaluator_1 | Exception: Normalize: Apply "cleaner" transformation before normalization. Division by zero in .tonal.chords_histogram dataset_evaluator_1 | ERROR ClassificationTask | While doing evaluation with param = {'kernel': 'poly', 'C': -5, 'preprocessing': 'basic', 'type': 'C-SVC', 'classifier': 'svm', 'gamma': -1} dataset_evaluator_1 | evaluation = [{'type': 'nfoldcrossvalidation', 'nfold': 5}] dataset_evaluator_1 | Traceback (most recent call last): dataset_evaluator_1 | File "/usr/local/lib/python2.7/site-packages/gaia2/classification/classificationtask.py", line 195, in dataset_evaluator_1 | task.run(className, outfilename, param, dsname, gtname, evalconfig) dataset_evaluator_1 | File "/usr/local/lib/python2.7/site-packages/gaia2/classification/classificationtask.py", line 177, in run dataset_evaluator_1 | confusion = evaluateNfold(evalparam['nfold'], ds, gt, trainerFun, **trainingparam) dataset_evaluator_1 | File "/usr/local/lib/python2.7/site-packages/gaia2/classification/evaluation.py", line 116, in evaluateNfold dataset_evaluator_1 | classifier = trainingFunc(trainds, traingt, *args, **kwargs) dataset_evaluator_1 | File "/usr/local/lib/python2.7/site-packages/gaia2/classification/classifier_SVM.py", line 35, in train_SVM dataset_evaluator_1 | ds = transform(ds, 'normalize', { 'independent': True }) dataset_evaluator_1 | File "/usr/local/lib/python2.7/site-packages/gaia2/__init__.py", line 4601, in transform dataset_evaluator_1 | ERROR ClassificationTask | While doing evaluation with param = {'kernel': 'poly', 'C': -5, 'preprocessing': 'basic', 'type': 'C-SVC', 'classifier': 'svm', 'gamma': 1} dataset_evaluator_1 | evaluation = [{'type': 'nfoldcrossvalidation', 'nfold': 5}] dataset_evaluator_1 | Traceback (most recent call last): dataset_evaluator_1 | File "/usr/local/lib/python2.7/site-packages/gaia2/classification/classificationtask.py", line 195, in dataset_evaluator_1 | task.run(className, outfilename, param, dsname, gtname, evalconfig) dataset_evaluator_1 | File "/usr/local/lib/python2.7/site-packages/gaia2/classification/classificationtask.py", line 177, in run dataset_evaluator_1 | confusion = evaluateNfold(evalparam['nfold'], ds, gt, trainerFun, **trainingparam) dataset_evaluator_1 | File "/usr/local/lib/python2.7/site-packages/gaia2/classification/evaluation.py", line 116, in evaluateNfold dataset_evaluator_1 | classifier = trainingFunc(trainds, traingt, *args, **kwargs) dataset_evaluator_1 | File "/usr/local/lib/python2.7/site-packages/gaia2/classification/classifier_SVM.py", line 35, in train_SVM dataset_evaluator_1 | return analyzer.analyze(dataset).applyToDataSet(dataset) dataset_evaluator_1 | File "/usr/local/lib/python2.7/site-packages/gaia2/__init__.py", line 1997, in analyze dataset_evaluator_1 | ds = transform(ds, 'normalize', { 'independent': True }) dataset_evaluator_1 | File "/usr/local/lib/python2.7/site-packages/gaia2/__init__.py", line 4601, in transform dataset_evaluator_1 | return _gaia2.Analyzer_analyze(self, *args) dataset_evaluator_1 | Exception: Normalize: Apply "cleaner" transformation before normalization. Division by zero in .tonal.chords_histogram dataset_evaluator_1 | return analyzer.analyze(dataset).applyToDataSet(dataset) dataset_evaluator_1 | File "/usr/local/lib/python2.7/site-packages/gaia2/__init__.py", line 1997, in analyze dataset_evaluator_1 | return _gaia2.Analyzer_analyze(self, *args) dataset_evaluator_1 | Exception: Normalize: Apply "cleaner" transformation before normalization. Division by zero in .tonal.chords_histogram dataset_evaluator_1 | ERROR ClassificationTask | While doing evaluation with param = {'kernel': 'poly', 'C': -5, 'preprocessing': 'basic', 'type': 'C-SVC', 'classifier': 'svm', 'gamma': 3} dataset_evaluator_1 | evaluation = [{'type': 'nfoldcrossvalidation', 'nfold': 5}] dataset_evaluator_1 | Traceback (most recent call last): dataset_evaluator_1 | File "/usr/local/lib/python2.7/site-packages/gaia2/classification/classificationtask.py", line 195, in dataset_evaluator_1 | task.run(className, outfilename, param, dsname, gtname, evalconfig) dataset_evaluator_1 | File "/usr/local/lib/python2.7/site-packages/gaia2/classification/classificationtask.py", line 177, in run dataset_evaluator_1 | confusion = evaluateNfold(evalparam['nfold'], ds, gt, trainerFun, **trainingparam) dataset_evaluator_1 | File "/usr/local/lib/python2.7/site-packages/gaia2/classification/evaluation.py", line 116, in evaluateNfold dataset_evaluator_1 | classifier = trainingFunc(trainds, traingt, *args, **kwargs) dataset_evaluator_1 | File "/usr/local/lib/python2.7/site-packages/gaia2/classification/classifier_SVM.py", line 35, in train_SVM dataset_evaluator_1 | ds = transform(ds, 'normalize', { 'independent': True }) dataset_evaluator_1 | File "/usr/local/lib/python2.7/site-packages/gaia2/__init__.py", line 4601, in transform dataset_evaluator_1 | return analyzer.analyze(dataset).applyToDataSet(dataset) dataset_evaluator_1 | File "/usr/local/lib/python2.7/site-packages/gaia2/__init__.py", line 1997, in analyze dataset_evaluator_1 | return _gaia2.Analyzer_analyze(self, *args) dataset_evaluator_1 | Exception: Normalize: Apply "cleaner" transformation before normalization. Division by zero in .tonal.chords_histogram [144/144] (100% done)... dataset_evaluator_1 | 2018-09-05 16:00:48,647 - INFO - Saving results... dataset_evaluator_1 | 2018-09-05 16:00:48,662 - INFO - Evaluation job cc738c1b-75e3-4aa2-a878-8610367240bd has been completed.