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cntk:lambda-rank

cntk:lambda-rank(
   $output as cntk:variable,
   $gains as cntk:variable,
   $group-id as cntk:variable,
   [$name as xs:string]
) as cntk:function

Summary

Groups samples according to group, sorts them within each group based on output and computes the Normalized Discounted Cumulative Gain (NDCG) at infinity for each group.

Parameters
$output Score of each sample.
$gains Gain of each sample.
$group-id Group of each sample.
$name The name of the function instance in the network.

Example

  let $input-variable1 := cntk:input-variable(cntk:shape((3)), "float",
    fn:false(), fn:false(), "feature")
  let $input-variable2 := cntk:input-variable(cntk:shape((3)), "float",
    fn:false(), fn:false(), "feature")
  return cntk:lambda-rank($input-variable1, $input-variable2, $input-variable2, "@1")
  => cntk:function(Composite LambdaRank (Input(Name(feature), Shape([3]),
  Dynamic Axes([Sequence Axis(Default Dynamic Axis), Batch Axis(Default Batch Axis)])), Input(Name(feature), Shape([3]), Dynamic Axes([Sequence Axis(Default Dynamic Axis), Batch Axis(Default Batch Axis)]))))

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