sourcecode/scoring/mf_group_scorer.py [70:84]:
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    saveIntermediateState: bool = False,
    userFactorLambda=None,
    noteFactorLambda=None,
    userInterceptLambda=None,
    noteInterceptLambda=None,
    globalInterceptLambda=None,
    diamondLambda=None,
    normalizedLossHyperparameters=None,
    maxFirstMFTrainError: float = 0.16,
    maxFinalMFTrainError: float = 0.09,
    minMeanNoteScore: float = 0.05,
    crhThreshold: float = 0.40,
    crnhThresholdIntercept: float = -0.05,
    crnhThresholdNoteFactorMultiplier: float = -0.8,
    crnhThresholdNMIntercept: float = -0.15,
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sourcecode/scoring/mf_topic_scorer.py [43:57]:
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    saveIntermediateState: bool = False,
    userFactorLambda=None,
    noteFactorLambda=None,
    userInterceptLambda=None,
    noteInterceptLambda=None,
    globalInterceptLambda=None,
    diamondLambda=None,
    normalizedLossHyperparameters=None,
    maxFirstMFTrainError: float = 0.16,
    maxFinalMFTrainError: float = 0.09,
    minMeanNoteScore: float = 0.05,
    crhThreshold: float = 0.40,
    crnhThresholdIntercept: float = -0.05,
    crnhThresholdNoteFactorMultiplier: float = -0.8,
    crnhThresholdNMIntercept: float = -0.15,
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