wiki datasets merged
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@ -1432,12 +1432,10 @@ class AggregativeMedianEstimator(BinaryQuantifier):
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def _delayed_fit_classifier(self, args):
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with qp.util.temp_seed(self.random_state):
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print('enter job')
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cls_params, training, kwargs = args
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model = deepcopy(self.base_quantifier)
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model.set_params(**cls_params)
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predictions = model.classifier_fit_predict(training, **kwargs)
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print('exit job')
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return (model, predictions)
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def _delayed_fit_aggregation(self, args):
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@ -1467,7 +1465,6 @@ class AggregativeMedianEstimator(BinaryQuantifier):
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backend='threading'
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)
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else:
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print('only 1')
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model = self.base_quantifier
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model.set_params(**cls_configs[0])
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predictions = model.classifier_fit_predict(training, **kwargs)
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