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Maintenance issues #688

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Sep 26, 2021
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4 changes: 2 additions & 2 deletions .github/workflows/pypi_release.yml
Original file line number Diff line number Diff line change
Expand Up @@ -13,13 +13,13 @@ on:

jobs:
build:
runs-on: ubuntu-20.04
runs-on: ubuntu-latest

steps:
- uses: actions/checkout@v2
- uses: actions/setup-python@v2
with:
python-version: 3.7
python-version: 3.8

- name: Install poetry
shell: bash
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4 changes: 2 additions & 2 deletions .github/workflows/test.yml
Original file line number Diff line number Diff line change
Expand Up @@ -14,8 +14,8 @@ jobs:
runs-on: ${{ matrix.os }}
strategy:
matrix:
os: [ubuntu-18.04, macOS-10.15] # add windows-2019 when poetry allows installation with `-f` flag
python-version: [3.6, 3.7, 3.8] # python 3.9 is not supported by all dependencies yet
os: [ubuntu-latest, macOS-latest] # add windows-2019 when poetry allows installation with `-f` flag
python-version: [3.7, 3.8, 3.9] # python 3.9 is not supported by all dependencies yet

steps:
- uses: actions/checkout@v2
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2 changes: 1 addition & 1 deletion .readthedocs.yml
Original file line number Diff line number Diff line change
Expand Up @@ -21,6 +21,6 @@ formats:

# Optionally set the version of Python and requirements required to build your docs
python:
version: 3.7
version: 3.8
install:
- requirements: docs/requirements.txt
10 changes: 8 additions & 2 deletions CHANGELOG.md
Original file line number Diff line number Diff line change
@@ -1,24 +1,30 @@
# Release Notes

## v0.9.1 UNRELEASED
## v0.9.1 Maintenance Release (26/09/2021)

### Added

- Use target name instead of target number for logging metrics (#588)
- Optimizer can be initialized by passing string, class or function (#602)
- Add support for multiple outputs in Baseline model (#603)
- Added Optuna pruner as optional parameter in `TemporalFusionTransformer.optimize_hyperparameters` (#619)

- Dropping support for Python 3.6 and starting support for Python 3.9 (#639)

### Fixed

- Initialization of TemporalFusionTransformer with multiple targets but loss for only one target (#550)
- Added missing transformation of prediction for MLP (#602)
- Fixed logging hyperparameters (#688)
- Ensure MultiNormalizer fit state is detected (#681)
- Fix infinite loop in TimeDistributedEmbeddingBag (#672)

### Contributors

- jdb78
- TKlerx
- chefPony
- eavae
- L0Z1K

## v0.9.0 Simplified API (04/06/2021)

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