minor docs fixes (#223)

* update_autotag

* black

* fix BoxPrediction type

* typo

* changelog

* Update nucleus/dataset.py

Co-authored-by: Jean Lucas  <jean.ferreira@scale.com>

* semver

Co-authored-by: Jean Lucas  <jean.ferreira@scale.com>

Author: drakejwong

CHANGELOG.md

@@ -4,6 +4,13 @@ All notable changes to the [Nucleus Python Client](https://github.com/scaleapi/n
 The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
 and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
 
+## [0.6.5](https://github.com/scaleapi/nucleus-python-client/releases/tag/v0.6.5) - 2021-02-16
+
+### Fixed
+- `Dataset.update_autotag` docstring formatting
+- `BoxPrediction` dataclass parameter typing
+- `validate.scenario_test_evaluation` typo
+
 ## [0.6.4](https://github.com/scaleapi/nucleus-python-client/releases/tag/v0.6.4) - 2021-02-16
 
 ### Fixes

cli/helpers/web_helper.py

@@ -6,7 +6,7 @@
 def launch_web_or_show_help(
     sub_url: str, ctx: click.Context, launch_browser: bool
 ):
-    """ Launches the sub_url (composed with nuclues_url(sub_url)) in the browser if requested"""
+    """Launches the sub_url (composed with nuclues_url(sub_url)) in the browser if requested"""
     if not ctx.invoked_subcommand:
         if launch_browser:
             url = nucleus_url(sub_url)

cli/reference.py

@@ -4,5 +4,5 @@
 # NOTE: Named reference instead of docs to not clash with dataset autocomplete
 @click.command("reference")
 def reference():
-    """ View the Nucleus reference documentation in the browser"""
+    """View the Nucleus reference documentation in the browser"""
     click.launch("https://nucleus.scale.com/docs")

nucleus/dataset.py

@@ -754,6 +754,7 @@ def delete_scene(self, reference_id: str):
         self._client.delete(f"dataset/{self.id}/scene/{reference_id}")
 
     def list_autotags(self):
+        # TODO: prefer Dataset.autotags @property
         """Fetches all autotags of the dataset.
 
         Returns:
@@ -768,17 +769,18 @@ def list_autotags(self):
         """
         return self._client.list_autotags(self.id)
 
-    def update_autotag(self, autotag_id):
-        """Will rerun inference on all dataset items in the dataset.
-        For now this endpoint does not try to skip already inferenced items, but this
-        improvement is planned for the future. This means that for now, you can only
-        have one job running at time, so please await the result using job.sleep_until_complete()
-        before launching another job.
+    def update_autotag(self, autotag_id: str) -> AsyncJob:
+        """Rerun autotag inference on all items in the dataset.
+
+        Currently this endpoint does not try to skip already inferenced items,
+        but this improvement is planned for the future. This means that for
+        now, you can only have one job running at a time, so please await the
+        result using job.sleep_until_complete() before launching another job.
 
         Parameters:
-            autotag_id: Id of the autotag to re-inference. You can figure out which
-            id you want by using dataset.list_autotags, or by looking at the URL in the
-            manage autotag page.
+            autotag_id: ID of the autotag to re-inference. You can retrieve the
+                ID you want with :meth:`list_autotags`, or from its URL in the
+                "Manage Autotags" page in the dashboard.
 
         Returns:
           :class:`AsyncJob`: Asynchronous job object to track processing status.

nucleus/prediction.py

@@ -154,10 +154,10 @@ class BoxPrediction(BoxAnnotation):
     def __init__(
         self,
         label: str,
-        x: int,
-        y: int,
-        width: int,
-        height: int,
+        x: Union[float, int],
+        y: Union[float, int],
+        width: Union[float, int],
+        height: Union[float, int],
         reference_id: str,
         confidence: Optional[float] = None,
         annotation_id: Optional[str] = None,

nucleus/validate/scenario_test_evaluation.py

@@ -60,7 +60,7 @@ class ScenarioTestEvaluation:
         id (str): The ID of this scenario test evaluation.
         scenario_test_id (str): The ID of the associated scenario test.
         eval_function_id (str): The ID of the associated evaluation function.
-        model_id (str): THe ID of the associated model.
+        model_id (str): The ID of the associated model.
         status (str): The status of the evaluation job.
         result (Optional[float]): The float result of the evaluation.
         passed (bool): Whether the scenario test was passed.

pyproject.toml

@@ -21,7 +21,7 @@ exclude = '''
 
 [tool.poetry]
 name = "scale-nucleus"
-version = "0.6.4"
+version = "0.6.5"
 description = "The official Python client library for Nucleus, the Data Platform for AI"
 license =  "MIT"
 authors = ["Scale AI Nucleus Team <nucleusapi@scaleapi.com>"]