solving unit tests
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TODO.txt
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TODO.txt
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@ -1,4 +1,5 @@
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- [TODO] adapt BayesianCC to WithConfidence interface
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- [TODO] document confidence
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- [TODO] Test the return_type="index" in protocols and finish the "distributin_samples.py" example
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- [TODO] Add EDy (an implementation is available at quantificationlib)
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- [TODO] add ensemble methods SC-MQ, MC-SQ, MC-MQ
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@ -363,8 +363,8 @@ def __check_eps(eps=None):
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CLASSIFICATION_ERROR = {f1e, acce}
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QUANTIFICATION_ERROR = {mae, mnae, mrae, mnrae, mse, mkld, mnkld, mean_bias_binary}
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QUANTIFICATION_ERROR_SINGLE = {ae, nae, rae, nrae, se, kld, nkld, bias_binary}
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QUANTIFICATION_ERROR = {mae, mnae, mrae, mnrae, mse, mkld, mnkld}
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QUANTIFICATION_ERROR_SINGLE = {ae, nae, rae, nrae, se, kld, nkld}
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QUANTIFICATION_ERROR_SMOOTH = {kld, nkld, rae, nrae, mkld, mnkld, mrae}
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CLASSIFICATION_ERROR_NAMES = {func.__name__ for func in CLASSIFICATION_ERROR}
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QUANTIFICATION_ERROR_NAMES = {func.__name__ for func in QUANTIFICATION_ERROR}
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