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Validator overview

The Numeric Distribution validator compares statistical properties of numeric fields between two datasets to ensure stability over time. You can configure numeric distribution validators to monitor the following metrics: Numeric distribution validators support reference source configuration for data validation. For more information, see Reference Source Validation. For an overview of all validator types, see Validator Types.

Relative entropy

You can use relative entropy to validate distribution shifts in your data over time, or to compare the distributions of two data sets. Relative entropy is presented as a percentage where:
  • 0% means identical empirical distributions.
  • 100% means maximal difference in empirical distributions.
In Validio, relative entropy is adapted from the implementation of the Kullback - Leibler divergence.

Ratio metrics

Calculates the ratio of mean, sum, maximum, minimum, or standard deviation between the source and reference datasets: Ratio=Source metricReference metric\text{Ratio} = \frac{\text{Source metric}}{\text{Reference metric}}

Metric configuration parameters

Configure the validator metric calculation with the the following parameters: