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You are looking at the documentation for an older version of the SDV! We are no longer supporting or maintaining this version of the software
Click here to go to the new docs pages.
sdv.metrics.tabular.
ScikitLearnClassifierDetectionMetric
Base class for Detection metrics build using Scikit Learn Classifiers.
The base class for these metrics makes a prediction using a scikit-learn pipeline which contains a SimpleImputer, a RobustScaler and finally the classifier, which is defined in the subclasses.
__init__
Initialize self. See help(type(self)) for accurate signature.
Methods
__init__()
Initialize self.
compute(real_data, synthetic_data[, metadata])
compute
Compute this metric.
compute_breakdown(real_data, synthetic_data)
compute_breakdown
Compute this metric breakdown.
get_subclasses([include_parents])
get_subclasses
Recursively find subclasses of this metric.
normalize(raw_score)
normalize
Return the raw_score as is, since it is already normalized.
Attributes
goal
max_value
min_value
name