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paddle/operators/auc_op.cc

@@ -42,17 +42,17 @@ class AucOpMaker : public framework::OpProtoAndCheckerMaker {
   AucOpMaker(framework::OpProto *proto, framework::OpAttrChecker *op_checker)
       : OpProtoAndCheckerMaker(proto, op_checker) {
     AddInput("Inference",
-             "A floating point `Tensor` of arbitrary shape and whose values"
-             "are in the range `[0, 1]`.");
+             "A floating point tensor of arbitrary shape and whose values"
+             "are in the range [0, 1].");
     AddInput("Label",
-             "A `Tensor` whose shape matches "
-             "`Inference`. Will be cast to `bool`.");
+             "A tensor whose shape matches "
+             "Inference. Will be cast to bool.");
     // TODO(typhoonzero): support weight input
     AddOutput("AUC",
-              "A scalar `Tensor` representing the "
+              "A scalar representing the "
               "current area-under-curve.");
 
-    AddAttr<std::string>("curve", "Possible curves are ROC and PR")
+    AddAttr<std::string>("curve", "Curve type, can be 'ROC' or 'PR'.")
         .SetDefault("ROC");
     AddAttr<int>("num_thresholds",
                  "The number of thresholds to use when discretizing the"
@@ -62,7 +62,8 @@ class AucOpMaker : public framework::OpProtoAndCheckerMaker {
     AddComment(
         R"DOC(Computes the AUC according forward output and label.
         Best to use for binary classification evaluations.
-        If `label` can be values other than 0 and 1, it will be cast
+
+        If input label contains values other than 0 and 1, it will be cast
         to bool.
 
         You can find the definations here: