adding cc variants anew
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@ -17,10 +17,10 @@ def quantification_models():
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return LogisticRegression(max_iter=1000, solver='lbfgs', n_jobs=-1)
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__C_range = np.logspace(-4, 5, 10)
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lr_params = {'C': __C_range, 'class_weight': [None, 'balanced']}
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#yield 'cc', qp.method.aggregative.CC(newLR()), lr_params
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#yield 'acc', qp.method.aggregative.ACC(newLR()), lr_params
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#yield 'pcc', qp.method.aggregative.PCC(newLR()), lr_params
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#yield 'pacc', qp.method.aggregative.PACC(newLR()), lr_params
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yield 'cc', qp.method.aggregative.CC(newLR()), lr_params
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yield 'acc', qp.method.aggregative.ACC(newLR()), lr_params
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yield 'pcc', qp.method.aggregative.PCC(newLR()), lr_params
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yield 'pacc', qp.method.aggregative.PACC(newLR()), lr_params
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yield 'sld', qp.method.aggregative.EMQ(newLR()), lr_params
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