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Danger
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.
NumericalLR
The Numerical Linear Regression privacy metric. Scored based on the LRAttacker.
__init__
Initialize self. See help(type(self)) for accurate signature.
Methods
__init__()
Initialize self.
compute(real_data, synthetic_data[, …])
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
Compute the normalized value of the metric.
Attributes
LOSS_FUNCTION_KWARGS
MODEL_KWARGS
goal
max_value
min_value
name