repair unittest
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Change Log 0.1.10
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-----------------
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- Added (aggregative) bootstrap for deriving confidence regions (confidence intervals, ellipses in the simplex, or
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- Added aggregative bootstrap for deriving confidence regions (confidence intervals, ellipses in the simplex, or
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ellipses in the CLR space). This method is efficient as it leverages the two-phases of the aggregative quantifiers.
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This method applies resampling only to the aggregation phase, thus avoiding to train many quantifiers, or
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classify multiple times the instances of a sample. See the new example no. 15.
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import method.confidence
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from . import confidence
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from . import base
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from . import aggregative
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from . import non_aggregative
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@ -23,7 +23,7 @@ AGGREGATIVE_METHODS = {
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aggregative.KDEyML,
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aggregative.KDEyCS,
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aggregative.KDEyHD,
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method.confidence.BayesianCC
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confidence.BayesianCC
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}
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BINARY_METHODS = {
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@ -46,7 +46,7 @@ MULTICLASS_METHODS = {
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aggregative.KDEyML,
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aggregative.KDEyCS,
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aggregative.KDEyHD,
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method.confidence.BayesianCC
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confidence.BayesianCC
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}
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NON_AGGREGATIVE_METHODS = {
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