Intel® oneAPI Data Analytics Library Developer Guide and Reference

Developer Guide and Reference

  • 2021.4
  • 09/27/2021
  • Public Content
Contents

Quality Metrics

In oneDAL, a quality metric is a numerical characteristic or a set of connected numerical characteristics that represents the qualitative aspect of the result returned by an algorithm: a computed statistical estimate, model, or result of decision making.
A common set of quality metrics can be defined for some training and prediction algorithms.
A typical workflow with quality metric set is the following:
  1. Create a quality metric set object to compute quality metrics.
    • Set specific parameters for the algorithms.
    • Use the
      useDefaultMetrics
       flag to specify whether the default or user-defined quality metrics should be computed.
  2. Get an input collection object using
    QualityMetricsId
     of a specific algorithm.
  3. Set data to the input collection using the algorithm’s
    InputId
    .
  4. Perform computation.
  5. Get the resulting collection of quality metrics using the algorithm’s
    ResultId
    .
For values of
InputId
,
Parameters
,
QualityMetricsId
,
ResultId
, refer to the description of a specific algorithm.
Quality metrics are optional. They are computed when the computation is explicitly requested.

Product and Performance Information

1

Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex.