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repair unittest

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Alejandro Moreo Fernandez 2024-11-29 18:21:29 +01:00
parent 2728dfbaa6
commit 8c01e0927f
2 changed files with 4 additions and 4 deletions
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2
CHANGE_LOG.txt
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@ -1,7 +1,7 @@
Change Log 0.1.10 Change Log 0.1.10
----------------- -----------------
- Added (aggregative) bootstrap for deriving confidence regions (confidence intervals, ellipses in the simplex, or - Added aggregative bootstrap for deriving confidence regions (confidence intervals, ellipses in the simplex, or
ellipses in the CLR space). This method is efficient as it leverages the two-phases of the aggregative quantifiers. ellipses in the CLR space). This method is efficient as it leverages the two-phases of the aggregative quantifiers.
This method applies resampling only to the aggregation phase, thus avoiding to train many quantifiers, or This method applies resampling only to the aggregation phase, thus avoiding to train many quantifiers, or
classify multiple times the instances of a sample. See the new example no. 15. classify multiple times the instances of a sample. See the new example no. 15.

6
quapy/method/__init__.py
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@ -1,4 +1,4 @@
import method.confidence from . import confidence
from . import base from . import base
from . import aggregative from . import aggregative
from . import non_aggregative from . import non_aggregative
@ -23,7 +23,7 @@ AGGREGATIVE_METHODS = {
aggregative.KDEyML, aggregative.KDEyML,
aggregative.KDEyCS, aggregative.KDEyCS,
aggregative.KDEyHD, aggregative.KDEyHD,
method.confidence.BayesianCC confidence.BayesianCC
} }
BINARY_METHODS = { BINARY_METHODS = {
@ -46,7 +46,7 @@ MULTICLASS_METHODS = {
aggregative.KDEyML, aggregative.KDEyML,
aggregative.KDEyCS, aggregative.KDEyCS,
aggregative.KDEyHD, aggregative.KDEyHD,
method.confidence.BayesianCC confidence.BayesianCC
} }
NON_AGGREGATIVE_METHODS = { NON_AGGREGATIVE_METHODS = {