Fix docs typo :py:class to :py:class: (mlflow#9926)

Signed-off-by: Liang Zhang <[email protected]>

mlflow/models/evaluation/base.py

@@ -1367,14 +1367,14 @@ def fn(model_input):
                    are regarded as feature columns. If it is Spark DataFrame, only the first 10000
                    rows in the Spark DataFrame will be used as evaluation data.
 
-                 - A :py:class`mlflow.data.dataset.Dataset` instance containing evaluation features
+                 - A :py:class:`mlflow.data.dataset.Dataset` instance containing evaluation features
                    and labels.
 
     :param targets: If ``data`` is a numpy array or list, a numpy array or list of evaluation
                     labels. If ``data`` is a DataFrame, the string name of a column from ``data``
                     that contains evaluation labels. Required for classifier and regressor models,
                     but optional for question-answering, text-summarization, and text models. If
-                    ``data`` is a :py:class`mlflow.data.dataset.Dataset` that defines targets,
+                    ``data`` is a :py:class:`mlflow.data.dataset.Dataset` that defines targets,
                     then ``targets`` is optional.
 
     :param model_type: (Optional) A string describing the model type. The default evaluator

mlflow/store/tracking/abstract_store.py

@@ -158,7 +158,7 @@ def get_run(self, run_id):
         Fetch the run from backend store. The resulting :py:class:`Run <mlflow.entities.Run>`
         contains a collection of run metadata - :py:class:`RunInfo <mlflow.entities.RunInfo>`,
         as well as a collection of run parameters, tags, and metrics -
-        :py:class`RunData <mlflow.entities.RunData>`. In the case where multiple metrics with the
+        :py:class:`RunData <mlflow.entities.RunData>`. In the case where multiple metrics with the
         same key are logged for the run, the :py:class:`RunData <mlflow.entities.RunData>` contains
         the value at the latest timestamp for each metric. If there are multiple values with the
         latest timestamp for a given metric, the maximum of these values is returned.