提交 9f54fa24 编写于 作者: W wanghaoshuang

Rename info to query_id and add more comments.

上级 9891667b
......@@ -297,7 +297,7 @@ def auc_evaluator(
def pnpair_evaluator(
input,
label,
info,
query_id,
weight=None,
name=None, ):
"""
......@@ -308,16 +308,20 @@ def pnpair_evaluator(
.. code-block:: python
eval = pnpair_evaluator(input, label, info)
eval = pnpair_evaluator(input, label, query_id)
:param input: Input Layer name. The output prediction of network.
:type input: LayerOutput
:param label: Label layer name.
:type label: LayerOutput
:param info: Info layer name. (TODO, explaination)
:type info: LayerOutput
:param query_id: Query_id layer name. Query_id indicates that which query
each sample belongs to. Its shape should be
the same as output of Label layer.
:type query_id: LayerOutput
:param weight: Weight Layer name. It should be a matrix with size
[sample_num, 1]. (TODO, explaination)
[sample_num, 1] which indicates the weight of each sample.
The default weight of sample is 1 if the weight layer is None.
And the pair weight is the mean of the two samples' weight.
:type weight: LayerOutput
:param name: Evaluator name.
:type name: None|basestring
......@@ -326,8 +330,8 @@ def pnpair_evaluator(
input = [input]
if label:
input.append(label)
if info:
input.append(info)
if query_id:
input.append(query_id)
evaluator_base(
input=input,
type="pnpair",
......
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