From 86a3b838c02e4ea1317eeb58a2c080ece6d7b0b7 Mon Sep 17 00:00:00 2001
From: jbogaard <jbogaardt@f>
Date: Sun, 11 Jul 2021 10:09:05 -0600
Subject: [PATCH] prep 0.8.5 release

---
 chainladder/utils/utility_functions.py |  3 +--
 docs/releases.rst                      | 29 ++++++++++++++++++++++++++
 2 files changed, 30 insertions(+), 2 deletions(-)

diff --git a/chainladder/utils/utility_functions.py b/chainladder/utils/utility_functions.py
index c4bbd302..6b3a89a5 100644
--- a/chainladder/utils/utility_functions.py
+++ b/chainladder/utils/utility_functions.py
@@ -364,8 +364,7 @@ def model_diagnostics(model, name=None,  groupby=None):
         idx['Measure'] = col
         idx['Model'] = obj.__class__.__name__ if name is None else name
         idx = idx[list(idx.columns[-2:]) + list(idx.columns[:-2])]
-
-        out = latest.iloc[:, 0].rename('columns', ['Latest'])
+        out = latest[col].rename('columns', ['Latest'])
         if obj.X_.development_grain in ['M']:
             out['Month Incremental'] = obj.X_[col][val==obj.X_.valuation_date].sum('development')
         if obj.X_.development_grain in ['M', 'Q']:
diff --git a/docs/releases.rst b/docs/releases.rst
index d83fe2c4..5a7a0f5b 100644
--- a/docs/releases.rst
+++ b/docs/releases.rst
@@ -4,6 +4,35 @@ Releases
 
 Version 0.8
 ===========
+
+Version 0.8.5
+--------------
+Release Date: Jul 11, 2021
+
+**Enhancements**
+
+* `#154 <https://github.com/casact/chainladder-python/issues/154>`__  - Added `groupby` hyperparameter to several more estimators including the widely used `Development` estimator.  This allows fitting development patterns at a higher grain than the Triangle all within the estiamtor or Pipeline.
+- Improved index broadcasting for sparse arrays.  Prior to `0.8.5`, this code would
+inappropriately consume too much memory.  For example:
+
+  >>> prism = cl.load_sample('prism')
+  >>> prism / prism.groupby('Line').sum()
+
+- Arithmetic label matching improved for all axes to align more with pandas
+- Added ``model_diagnostics`` utility function to be used on fitted estimators.
+- Initial support for ``dask`` arrays. Current support is basic, but will eventually allow for distributed computations on massive triangles.
+- added numpy array protocol support to the Triangle class. Now numpy functions can be called on Triangles.  For example:
+
+  >>> np.sin(cl.load_sample('raa'))
+
+* `#169 <https://github.com/casact/chainladder-python/issues/169>`__ - Made Triangle tutorial more beginner friendly - courtesy of @kennethhsu
+
+**Bug Fixes**
+
+- Better Estimator pickling support when callables are included in estimators.
+- Minor bug fix in `grain` estimator.
+
+
 Version 0.8.4
 --------------
 Release Date: May 9, 2021