Developer Guide

Contents

Quality Metrics

In
Intel® Data Analytics Acceleration Library
(
Intel® DAAL
), 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.
    1. Set specific parameters for the algorithms.
    2. 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

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Notice revision #20110804