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Generates a trajectory summary for every cell in a confusion
matrix
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Methods
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__init__
colorByColumnMarginals
colorByInterclusterROC
colorByRowMarginals
drawMarginalPlot
drawMeanStdTrajectories
drawSummaryPlot
setOptimalYAxis
setUniformYAxis
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__init__
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__init__ (
self,
dataset,
labeling1,
labeling2,
primaryLabeling=None,
secondaryLabeling=None,
l1Order=None,
l2Order=None,
parent=None,
)
__init__(self, dataset, labeling1, labeling2, parent=None)
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colorByColumnMarginals
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colorByColumnMarginals ( self )
Color each cell of the confusion matrix by how many members are in it relitive to the indicated direction
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colorByInterclusterROC
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colorByInterclusterROC ( self )
Color each cell by the pairwise ROC area
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colorByRowMarginals
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colorByRowMarginals ( self )
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drawMarginalPlot
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drawMarginalPlot (
self,
data,
label,
)
drawMarginalPlot(self, data)
draws the marginal plots for the confusion matrix summary.
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drawMeanStdTrajectories
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drawMeanStdTrajectories ( self, computeROC=1 )
drawMeanStdTrajectories(self, computeROC=1)
This method draws all the cells of the confusion matrix with small
summary tragetories in each one.
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drawSummaryPlot
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drawSummaryPlot (
self,
row,
color,
computeROC=1,
titles=1,
verbose=1,
)
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setOptimalYAxis
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setOptimalYAxis ( self )
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setUniformYAxis
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setUniformYAxis (
self,
min=None,
max=None,
)
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