From 0fc42218a92fa0099591ad9ad893b39db168be39 Mon Sep 17 00:00:00 2001
From: Tyler Reddy <treddy@lanl.gov>
Date: Sat, 31 Jan 2026 15:24:35 -0700
Subject: [PATCH 1/2] WIP, DOC: draft release notes (0.1.0)

* Fixes gh-19.

* Early draft of release notes infrastructure for the
project, including rough draft of the release notes
for the GFDL `0.1.0` release.
---
 docs/source/release.rst             | 10 +++++
 docs/source/release/0.1.0-notes.rst | 59 +++++++++++++++++++++++++++++
 2 files changed, 69 insertions(+)
 create mode 100644 docs/source/release.rst
 create mode 100644 docs/source/release/0.1.0-notes.rst

diff --git a/docs/source/release.rst b/docs/source/release.rst
new file mode 100644
index 0000000..faf3fd2
--- /dev/null
+++ b/docs/source/release.rst
@@ -0,0 +1,10 @@
+*************
+Release Notes
+*************
+
+This is the list of changes to GFDL between each release.
+
+.. toctree::
+   :maxdepth: 1
+
+   release/0.1.0-notes
diff --git a/docs/source/release/0.1.0-notes.rst b/docs/source/release/0.1.0-notes.rst
new file mode 100644
index 0000000..0e87be0
--- /dev/null
+++ b/docs/source/release/0.1.0-notes.rst
@@ -0,0 +1,59 @@
+==========================
+GFDL 0.1.0 Release Notes
+==========================
+
+.. note:: GFDL 0.1.0 is not released yet!
+
+.. contents::
+
+Gradient free deep learning (GFDL) 0.1.0 is the culmination of 6
+months of hard work. This first release contains three new estimators.
+Our development attention will now shift to bug-fix releases on the
+0.1.x branch, and on adding new features on the main branch.
+
+This release requires Python 3.12-3.14.
+
+
+**************************
+Highlights of this release
+**************************
+
+* The new `gfdl.model.GFDLClassifier` is an estimator offering single and
+  multi-layer random vector functional link (RVFL) and extreme learning
+  machine (ELM) gradient-free neural networks. A regression equivalent,
+  `gfdl.model.GFDLRegressor` has also been added.
+* The new `gfdl.model.EnsembleGFDLClassifier` offers a connected ensemble
+  of estimators for multi-layer RVFLs that contribute to model output via
+  soft or hard voting.
+
+
+************
+New features
+************
+
+
+``gfdl.model`` improvements
+============================
+* Three new estimators that include single and multi layer extreme learning
+  machines (ELMs) and random vector functional link (RVFL) networks:
+  `gfdl.model.GFDLClassifier`, `gfdl.model.GFDLRegressor`, and
+  `gfdl.model.EnsembleGFDLClassifier`.
+
+
+
+*******
+Authors
+*******
+
+
+
+************************
+Issues closed for 0.1.0
+************************
+
+
+************************
+Pull requests for 0.1.0
+************************
+
+

From 4108f0fa67eaaf65db7d0f745a030099ec975505 Mon Sep 17 00:00:00 2001
From: Navamita Ray <nray@lanl.gov>
Date: Tue, 3 Feb 2026 09:52:04 -0700
Subject: [PATCH 2/2] DOCS: Add api links within release note. Add notes to
 toctree.

---
 docs/source/index.rst               |  3 ++-
 docs/source/release/0.1.0-notes.rst | 10 +++++-----
 2 files changed, 7 insertions(+), 6 deletions(-)

diff --git a/docs/source/index.rst b/docs/source/index.rst
index 6038aa6..7bc60c4 100644
--- a/docs/source/index.rst
+++ b/docs/source/index.rst
@@ -41,4 +41,5 @@ Quick example
    :hidden:
    :maxdepth: 2
 
-   api/index
\ No newline at end of file
+   api/index
+   release 
diff --git a/docs/source/release/0.1.0-notes.rst b/docs/source/release/0.1.0-notes.rst
index 0e87be0..4176718 100644
--- a/docs/source/release/0.1.0-notes.rst
+++ b/docs/source/release/0.1.0-notes.rst
@@ -18,11 +18,11 @@ This release requires Python 3.12-3.14.
 Highlights of this release
 **************************
 
-* The new `gfdl.model.GFDLClassifier` is an estimator offering single and
+* The new :class:`~gfdl.model.GFDLClassifier` is an estimator offering single and
   multi-layer random vector functional link (RVFL) and extreme learning
   machine (ELM) gradient-free neural networks. A regression equivalent,
-  `gfdl.model.GFDLRegressor` has also been added.
-* The new `gfdl.model.EnsembleGFDLClassifier` offers a connected ensemble
+  :class:`~gfdl.model.GFDLRegressor` has also been added.
+* The new :class:`~gfdl.model.EnsembleGFDLClassifier` offers a connected ensemble
   of estimators for multi-layer RVFLs that contribute to model output via
   soft or hard voting.
 
@@ -36,8 +36,8 @@ New features
 ============================
 * Three new estimators that include single and multi layer extreme learning
   machines (ELMs) and random vector functional link (RVFL) networks:
-  `gfdl.model.GFDLClassifier`, `gfdl.model.GFDLRegressor`, and
-  `gfdl.model.EnsembleGFDLClassifier`.
+  :class:`~gfdl.model.GFDLClassifier`, :class:`~gfdl.model.GFDLRegressor`, and
+  :class:`~gfdl.model.EnsembleGFDLClassifier`.