Add 0.2.0 Release Note (#65)

Author: Weisu Yin

docs/conf.py

@@ -4,7 +4,7 @@
 sys.path = ['.', '..'] + sys.path
 
 project = 'AutoGluon-Cloud'
-release = '0.1.1'
+release = '0.2.0'
 copyright = '2023, All authors. Licensed under Apache 2.0.'
 author = 'AutoGluon contributors'
 

docs/whats_new/v0.2.0.md

@@ -0,0 +1,57 @@
+# Version 0.2.0
+
+We're happy to announce the AutoGluon-Cloud 0.2.0 release. This release added support for TimeSeriesCloudPredictor.
+Please give it a try and provide us feedback!
+
+Currently, AutoGluon-Cloud supports training and deploying TabularPredictor, MultiModalPredictor and TimeSeriesPredictor with AutoGluon Deep Learning Containers version 0.6.0 and newer.
+It is always recommended to use the latest version of the container as it has more features and are updated with security patches.
+
+To learn more, check out our [tutorial](https://auto.gluon.ai/cloud/0.2.0/index.html)
+
+This release contains **27** commits from **2** contributors.
+
+See the full commit change-log here: https://github.com/autogluon/autogluon-cloud/compare/0.1.0...0.2.0
+
+Full Contributor List (ordered by # of commits):
+- @yinweisu, @gidler
+
+This release supports Python versions 3.8, 3.9, and 3.10. Python 3.7 is no longer supported as of this release.
+
+## NEW: `TimeSeriesCloudPredictor`
+
+We are happy to announce that you can train TimeSeriesPredictor with SageMaker backend in the cloud just like TabularPredictor and MultiModalPredictor now.
+Checkout the quick example [here](https://auto.gluon.ai/cloud/0.2.0/index.html)!
+* @yinweisu (#37, #38)
+
+## NEW Doc Site Style
+
+We have updated the doc site to match the new style being used by the main AutoGluon site.
+Check it out [here](https://auto.gluon.ai/cloud/stable/index.html)
+* @yinweisu (#62)
+* Special thanks to @gidler for guiding the update.
+
+## General:
+* Added Python 3.10 support and dropped python 3.7 support. @yinweisu (#29)
+* Updated dependency ranges. @yinweisu (#59)
+
+## Improvements and Refactoring:
+* Concurrency and space controls for large models. @yinweisu (#42)
+* Extract Sagemaker backend. @yinweisu (#43)
+* IAM role and policy utils. @yinweisu (#53)
+* Add better warning message for `to_local_predictor()` call. @yinweisu (#64)
+
+## Bug Fixes/Doc Improvements:
+* Tutorial fixes. @yinweisu @gidler (#33 #41 #55 #56 #57 #63)
+
+## CI:
+* @yinweisu (#42, #45, #48)
+
+## Distributed Training:
+Added components to support distributed training in the future. This feature is not available yet, but is being actively working on
+* Ray interface. @yinweisu (#43)
+* Ray AWS Cluster Config Generator. @yinweius (#47)
+* Ray AWS Cluster Manager. @yinweisu (#49)
+* Ray Job. @yinweisu  (#51)
+
+## Miscellaneous
+* Miscellaneous. @yinweisu (#31, #34, #36, #58)

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.black]
 line-length = 119
-target-version = ['py37', 'py38', 'py39']
+target-version = ['py38', 'py39', 'py310']
 
 [tool.isort]
 known_first_party = "autogluon"

setup.py

@@ -84,9 +84,9 @@ def default_setup_args(*, version):
             "Operating System :: POSIX",
             "Operating System :: Unix",
             "Programming Language :: Python :: 3",
-            "Programming Language :: Python :: 3.7",
             "Programming Language :: Python :: 3.8",
             "Programming Language :: Python :: 3.9",
+            "Programming Language :: Python :: 3.10",
             "Topic :: Software Development",
             "Topic :: Scientific/Engineering :: Artificial Intelligence",
             "Topic :: Scientific/Engineering :: Information Analysis",
@@ -102,7 +102,7 @@ def default_setup_args(*, version):
     return setup_args
 
 
-version = "0.1.1"
+version = "0.2.0"
 version = update_version(version, use_file_if_exists=False, create_file=True)
 
 install_requires = [