MGT::PredProcessor::Predictions Class Reference

List of all members.

Public Member Functions
def	__init__
def	calcPerfMetrics

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Detailed Description

Holds multiple sets of predicted labels for the same samples and different sets of parameters.
Also holds associated sample IDs and true labels, and can compute performance metrics.

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Constructor & Destructor Documentation

def MGT::PredProcessor::Predictions::__init__	(		self,
			labPred,
			param,
			idPred
	)

Constructor.
@param labPred array[N_param,N_samp]
@param param recarray[N_param]
@param idPred recarray("id","label")[N_samp] where "label" is true label (arbitrary value if not known)

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Member Function Documentation

def MGT::PredProcessor::Predictions::calcPerfMetrics	(		self,
			idLab,
			confMatrFileStem = None,
			keepConfMatr = False,
			balanceCounts = False
	)

Compute and return performance metrics.
@param idLab IdLabels (currently true label values are taken from self.idPred array rather than from idLab)
@param confMatrFileStem if not None, save confusion matrices for each prediction set in files with this stem name
@param keepConfMatr if True, keep the confusion matrix data inside the returned value, otherwise delete it

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The documentation for this class was generated from the following file:

• mgtaxa/MGT/PredProcessor.py