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

[DOC] typo fixes in changelog #1660

Merged
merged 2 commits into from
Nov 11, 2024
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 2 additions & 2 deletions CHANGELOG.md
Original file line number Diff line number Diff line change
Expand Up @@ -18,14 +18,14 @@ Maintenance update widening compatibility ranges and consolidating dependencies:

### Dependency changes

* the following are no longer core dependencies and have been changed to optional dependencies : `optuna`, `statsmodels`, `pytorch-optimize`, `matplotlib`. Environments relying on functionality requiring these dependencies need to be updated to instlal these explicitly.
* the following are no longer core dependencies and have been changed to optional dependencies : `optuna`, `statsmodels`, `pytorch-optimize`, `matplotlib`. Environments relying on functionality requiring these dependencies need to be updated to install these explicitly.
* `optuna` bounds have been updated to `optuna >=3.1.0,<4.0.0`
* `optuna-integrate` is now an additional soft dependency, in case of `optuna >=3.3.0`

### Deprecations and removals

* from 1.2.0, the default optimizer will be changed from `"ranger"` to `"adam"` to avoid non-`torch` dependencies in defaults. `pytorch-optimize` optimizers can still be used. Users should set the optimizer explicitly to continue using `"ranger"`.
* from 1.1.0, the loggers do not log figures if soft dependency `matplotlib` is not present, but will raise no exceptions in this case. To log figures, ensure tha `matplotlib` is installed.
* from 1.1.0, the loggers do not log figures if soft dependency `matplotlib` is not present, but will raise no exceptions in this case. To log figures, ensure that `matplotlib` is installed.

## v1.0.0 Update to pytorch 2.0 (10/04/2023)

Expand Down
Loading