Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Update to v0.8.0 #3313

Merged
merged 1 commit into from
Jun 14, 2023
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Jump to
Jump to file
Failed to load files.
Diff view
Diff view
2 changes: 1 addition & 1 deletion README.md
Original file line number Diff line number Diff line change
Expand Up @@ -25,7 +25,7 @@ AutoGluon automates machine learning tasks enabling you to easily achieve strong
# First install package from terminal:
# pip install -U pip
# pip install -U setuptools wheel
# pip install autogluon # autogluon==0.7.0
# pip install autogluon # autogluon==0.8.0

from autogluon.tabular import TabularDataset, TabularPredictor
train_data = TabularDataset('https://autogluon.s3.amazonaws.com/datasets/Inc/train.csv')
Expand Down
2 changes: 1 addition & 1 deletion VERSION
Original file line number Diff line number Diff line change
@@ -1 +1 @@
0.7.1
0.8.0
2 changes: 1 addition & 1 deletion docs/conf.py
Original file line number Diff line number Diff line change
Expand Up @@ -4,7 +4,7 @@
sys.path = ['.', '..'] + sys.path

project = 'AutoGluon'
release = '0.7.0'
release = '0.8.0'
copyright = '2023, All authors. Licensed under Apache 2.0.'
author = 'AutoGluon contributors'

Expand Down
2 changes: 1 addition & 1 deletion release_instructions/ReleaseInstructions.md
Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,7 @@

## Prior to release: 1 week out

* Ensure the version specified in `docs/conf.py`, `VERSION`, and `docs/index.md` align with the intended release version.
* Ensure the version specified in `docs/conf.py` and `VERSION` align with the intended release version.
* Check all dependency version ranges.
* Ensure all dependencies are not capped by major version, unless the reason is documented inline.
* Example of major version cap: `scikit-learn<2`
Expand Down