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cntk.lambdaRank

cntk.lambdaRank(
   $output as cntk.variable,
   $gains as cntk.variable,
   $group-id as cntk.variable,
   [$name as 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

  var inputVariable1 = cntk.inputVariable(cntk.shape([3]), "float", fn.false(),
    fn.false(), "feature")
  var inputVariable2 = cntk.inputVariable(cntk.shape([3]), "float", fn.false(),
    fn.false(), "feature")
  cntk.lambdaRank(inputVariable1, inputVariable2, inputVariable2, "@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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