Update changelog.rst

Fix changelog order and links

doc/changelog.rst

@@ -22,28 +22,29 @@ This section details changes made in the development branch that have not yet be
 
 Description
 
+- Drop support for Ray
+- Allow for models to be launched independently as batch jobs
 - Update to current version of Redis
 - Fix bug in colocated database entrypoint when loading PyTorch models
 - Add support for RedisAI 1.2.7, pyTorch 1.11.0, Tensorflow 2.8.0, ONNXRuntime 1.11.1
-- Allow for models to be launched independently as batch jobs
-- Drop support for Ray
 
 Detailed Notes
 
+- The support for Ray was dropped, as its most recent versions caused problems when deployed through SmartSim.
+  We plan to release a separate add-on library to accomplish the same results. If
+  you are interested in getting the Ray launch functionality back in your workflow, please get in touch with us! (PR263_)
 - Update from Redis version 6.0.8 to 7.0.5. (PR258_)
-- Fix bug in colocated database entrypoint stemming from uninitialized variables. This bug affects PyTorch models being loaded into the database. (PR237_)
-- The release of RedisAI 1.2.7 allows us to update support for recent versions of pyTorch, Tensorflow, and ONNX (PR234_)
-- Make installation of correct Torch backend more reliable according to instruction from pyTorch
 - Models were given a `batch_settings` attribute. When launching a model through `Experiment.start`
   the `Experiment` will first check for a non-nullish value at that attribute. If the check is
   satisfied, the `Experiment` will attempt to wrap the underlying run command in a batch job using
   the object referenced at `Model.batch_settings` as the batch settings for the job. If the check
   is not satisfied, the `Model` is launched in the traditional manner as a job step. (PR245_)
-- The support for Ray was dropped, as its most recent versions caused problems when deployed through SmartSim.
-  We plan to release a separate add-on library to accomplish the same results. If
-  you are interested in getting the Ray launch functionality back in your workflow, please get in touch with us!
+- Fix bug in colocated database entrypoint stemming from uninitialized variables. This bug affects PyTorch models being loaded into the database. (PR237_)
+- The release of RedisAI 1.2.7 allows us to update support for recent versions of pyTorch, Tensorflow, and ONNX (PR234_)
+- Make installation of correct Torch backend more reliable according to instruction from pyTorch
 
-.. _PR255: https://github.com/CrayLabs/SmartSim/pull/258
+.. _PR263: https://github.com/CrayLabs/SmartSim/pull/263
+.. _PR258: https://github.com/CrayLabs/SmartSim/pull/258
 .. _PR245: https://github.com/CrayLabs/SmartSim/pull/245
 .. _PR237: https://github.com/CrayLabs/SmartSim/pull/237
 .. _PR234: https://github.com/CrayLabs/SmartSim/pull/234