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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.
CSTest
MultiSingleColumnMetric based on SingleColumn CSTest.
This function applies the single column CSTest metric to all the discrete columns found in the table and then returns the average of all the scores obtained.
__init__
Initialize self. See help(type(self)) for accurate signature.
Methods
__init__([single_column_metric])
Initialize self.
compute(real_data, synthetic_data[, metadata])
compute
Compute this metric.
compute_breakdown(real_data, synthetic_data)
compute_breakdown
Compute this metric broken down by column.
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
field_types
goal
max_value
min_value
name
single_column_metric_kwargs