Examples of org.apache.mahout.math.stats.GroupedOnlineAuc

org.apache.mahout.math.stats.GroupedOnlineAuc

Implements a variant on AUC where the result returned is an average of several AUC measurements made on sub-groups of the overall data. Controlling for the grouping factor allows the effects of the grouping factor on the model to be ignored. This is useful, for instance, when using a classifier as a click prediction engine. In that case you want AUC to refer only to the ranking of items for a particular user, not to the discrimination of users from each other. Grouping by user (or user cluster) helps avoid optimizing for the wrong quality.

    }
    if ("GLOBAL".equals(cmd.toUpperCase(Locale.ENGLISH).trim())) {
      return new GlobalOnlineAuc();
    }
    if ("GROUPED".equals(cmd.toUpperCase(Locale.ENGLISH).trim())) {
      return new GroupedOnlineAuc();
    }
    return null;
  }

    }
    if ("GLOBAL".equals(cmd.toUpperCase(Locale.ENGLISH).trim())) {
      return new GlobalOnlineAuc();
    }
    if ("GROUPED".equals(cmd.toUpperCase(Locale.ENGLISH).trim())) {
      return new GroupedOnlineAuc();
    }
    return null;
  }

Examples of org.apache.mahout.math.stats.GroupedOnlineAuc

Related Classes of org.apache.mahout.math.stats.GroupedOnlineAuc