Package mvpa :: Package tests :: Module test_dataset :: Class DatasetTests

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# Class DatasetTests

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Instance Methods | [hide private]

testAddPatterns(self) Test composition of new datasets by addition of existing ones | source code

testFeatureSelection(self) Testing feature selection: sorted/not sorted, feature groups | source code

testSampleSelection(self) | source code

testEvilSelects(self) Test some obscure selections of samples via select() or __getitem__ | source code

testCombinedPatternAndFeatureMasking(self) | source code

testPatternMerge(self) | source code

testLabelRandomizationAndSampling(self) | source code

testAttributes(self) Test adding custom attributes to a dataset | source code

testRequiredAtrributes(self) Verify that we have required attributes | source code

testZScoring(self) Test z-scoring transformation | source code

test_zscore_reportedfailure(self) | source code

testAggregation(self) | source code

testApplyMapper(self) Test creation of new dataset by applying a mapper | source code

testId(self) Test Dataset.idhash() if it gets changed if any of the labels/chunks changes | source code

testFeatureMaskConversion(self) | source code

testSummary(self) Dummy test | source code

testLabelsMapping(self) Test mapping of the labels from strings to numericals | source code

testLabelsMappingAddDataset(self) Adding datasets needs special care whenever labels mapping is used. | source code

testCopy(self) | source code

testIdsonboundaries(self) Test detection of transition points | source code

Method Details | [hide private]

### testIdsonboundaries(self)

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Test detection of transition points

Shame on Yarik -- he didn't create unittests right away... damn me