changelog section + capitalizes model run in comments

Author: mmarinwilcke

CHANGELOG.md

@@ -1,15 +1,6 @@
 # Changelog
 
-# Version 3.26.0 (2022-08-15)
-## Added
-* `Batch.delete()` which will delete an existing `Batch`
-* `Batch.delete_labels()`  which will delete all `Label`’s created after a `Project`’s mode has been set to batch.
-    * Note: Does not include labels that were imported via model-assisted labeling or label imports
-* Support for creating model config when creating a model run
-* `RAW_TEXT` and `TEXT_FILE` attachment types to replace the `TEXT` type.
-
-# Version 3.25.3 (2022-08-10)
-
+# Version 3.26.1 (2022-08-18)
 ### Added
 * `ModelRun.update_config()`
     * Updates model run training metadata
@@ -22,6 +13,15 @@
 * `Model.create_model_run()`
     * Add training metadata config as a model run creation param
 
+# Version 3.26.0 (2022-08-15)
+## Added
+* `Batch.delete()` which will delete an existing `Batch`
+* `Batch.delete_labels()`  which will delete all `Label`’s created after a `Project`’s mode has been set to batch.
+    * Note: Does not include labels that were imported via model-assisted labeling or label imports
+* Support for creating model config when creating a model run
+* `RAW_TEXT` and `TEXT_FILE` attachment types to replace the `TEXT` type.
+
+# Version 3.25.3 (2022-08-10)
 ## Fixed
 * Label export will continue polling if the downloadUrl is None
 

labelbox/schema/model_run.py

@@ -42,7 +42,7 @@ class Status(Enum):
         FAILED = "FAILED"
 
     def upsert_labels(self, label_ids, timeout_seconds=60):
-        """ Adds data rows and labels to a model run
+        """ Adds data rows and labels to a Model Run
         Args:
             label_ids (list): label ids to insert
             timeout_seconds (float): Max waiting time, in seconds.
@@ -75,7 +75,7 @@ def upsert_labels(self, label_ids, timeout_seconds=60):
                                      timeout_seconds=timeout_seconds)
 
     def upsert_data_rows(self, data_row_ids, timeout_seconds=60):
-        """ Adds data rows to a model run without any associated labels
+        """ Adds data rows to a Model Run without any associated labels
         Args:
             data_row_ids (list): data row ids to add to mea
             timeout_seconds (float): Max waiting time, in seconds.
@@ -167,7 +167,7 @@ def model_run_data_rows(self):
             ['annotationGroups', 'pageInfo', 'endCursor'])
 
     def delete(self):
-        """ Deletes specified model run.
+        """ Deletes specified Model Run.
 
         Returns:
             Query execution success.
@@ -178,10 +178,10 @@ def delete(self):
         self.client.execute(query_str, {ids_param: str(self.uid)})
 
     def delete_model_run_data_rows(self, data_row_ids: List[str]):
-        """ Deletes data rows from model runs.
+        """ Deletes data rows from Model Runs.
 
         Args:
-            data_row_ids (list): List of data row ids to delete from the model run.
+            data_row_ids (list): List of data row ids to delete from the Model Run.
         Returns:
             Query execution success.
         """
@@ -265,11 +265,11 @@ def update_status(self,
     @experimental
     def update_config(self, config: Dict[str, Any]) -> Dict[str, Any]:
         """ 
-         Updates the model run's training metadata config
+         Updates the Model Run's training metadata config
          Args: 
              config (dict): A dictionary of keys and values
          Returns: 
-             model run id and updated training metadata
+             Model Run id and updated training metadata
          """
         data: Dict[str, Any] = {'config': config}
         res = self.client.execute(
@@ -286,9 +286,9 @@ def update_config(self, config: Dict[str, Any]) -> Dict[str, Any]:
     @experimental
     def reset_config(self) -> Dict[str, Any]:
         """ 
-         Resets model run's training metadata config
+         Resets Model Run's training metadata config
          Returns: 
-             Model run id and reset training metadata
+             Model Run id and reset training metadata
          """
         res = self.client.execute(
             """mutation resetModelRunConfigPyApi($modelRunId: ID!){
@@ -301,7 +301,7 @@ def reset_config(self) -> Dict[str, Any]:
     @experimental
     def get_config(self) -> Dict[str, Any]:
         """ 
-         Gets model run's training metadata 
+         Gets Model Run's training metadata 
          Returns: 
              training metadata as a dictionary 
          """