diff --git a/mindinsight/lineagemgr/api/model.py b/mindinsight/lineagemgr/api/model.py
index d22f7a0650b07eca3838b42e447ffaa11a88408a..f5d64faa3bf31780e86acba3c00fd9936b13e663 100644
--- a/mindinsight/lineagemgr/api/model.py
+++ b/mindinsight/lineagemgr/api/model.py
@@ -41,9 +41,9 @@ def get_summary_lineage(summary_dir, keys=None):
         summary_dir (str): The summary directory. It contains summary logs for
             one training.
         keys (list[str]): The filter keys of lineage information. The acceptable
-            keys are `metric`, `hyper_parameters`, `algorithm`, `train_dataset`,
-            `model`, `valid_dataset` and `dataset_graph`. If it is `None`, all
-            information will be returned. Default: None.
+            keys are `metric`, `user_defined`, `hyper_parameters`, `algorithm`,
+            `train_dataset`, `model`, `valid_dataset` and `dataset_graph`.
+            If it is `None`, all information will be returned. Default: None.
 
     Returns:
         dict, the lineage information for one training.
@@ -112,10 +112,12 @@ def filter_summary_lineage(summary_base_dir, search_condition=None):
             directories generated by training.
         search_condition (dict): The search condition. When filtering and
             sorting, in addition to the following supported fields, fields
-            prefixed with `metric/` are also supported. The fields prefixed with
-            `metric/` are related to the `metrics` parameter in the training
-            script. For example, if the key of `metrics` parameter is
-            `accuracy`, the field should be `metric/accuracy`. Default: None.
+            prefixed with `metric/` and `user_defined/` are also supported.
+            For example, the field should be `metric/accuracy` if the key
+            of `metrics` parameter is `accuracy`. The fields prefixed with
+            `metric/` and `user_defined/` are related to the `metrics`
+            parameter in the training script and user defined information in
+            TrainLineage/EvalLineage callback, respectively. Default: None.
 
             - summary_dir (dict): The filter condition of summary directory.
 
diff --git a/mindinsight/lineagemgr/collection/model/model_lineage.py b/mindinsight/lineagemgr/collection/model/model_lineage.py
index 88a963814d1097dca3cf8245610cf844d6a13eb6..6d7291d6e3c7e82f9add933a02949e9a5829b5e5 100644
--- a/mindinsight/lineagemgr/collection/model/model_lineage.py
+++ b/mindinsight/lineagemgr/collection/model/model_lineage.py
@@ -56,6 +56,8 @@ class TrainLineage(Callback):
         raise_exception (bool): Whether to raise exception when error occurs in
             TrainLineage. If True, raise exception. If False, catch exception
             and continue. Default: False.
+        user_defined_info (dict): User defined information. Only flatten dict with
+            str key and int/float/str value is supported. Default: None.
 
     Raises:
         MindInsightException: If validating parameter fails.
@@ -233,6 +235,8 @@ class EvalLineage(Callback):
         raise_exception (bool): Whether to raise exception when error occurs in
             EvalLineage. If True, raise exception. If False, catch exception
             and continue. Default: False.
+        user_defined_info (dict): User defined information. Only flatten dict with
+            str key and int/float/str value is supported. Default: None.
 
     Raises:
         MindInsightException: If validating parameter fails.