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🚀 Bump version and CHANGELOG for release 0.12.0 (#508)
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github-actions authored and Galileo-Galilei committed Dec 19, 2023
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42 changes: 23 additions & 19 deletions CHANGELOG.md
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## [Unreleased]

## [0.12.0] - 2023-12-19

### Added

- :sparkles: Add support for python 3.11 ([#450, rxm7706](https://github.com/Galileo-Galilei/kedro-mlflow/pull/450))
- :sparkles: :arrow_up: Add support for pydantic v2 ([#476](https://github.com/Galileo-Galilei/kedro-mlflow/pull/476))
- :sparkles: :arrow_up: Add support for ``kedro==0.19.X`` ([#](https://github.com/Galileo-Galilei/kedro-mlflow/pull/))
- :sparkles: Add support for python 3.11 ([#450, rxm7706](https://github.com/Galileo-Galilei/kedro-mlflow/pull/450))
- :sparkles: :arrow_up: Add support for pydantic v2 ([#476](https://github.com/Galileo-Galilei/kedro-mlflow/pull/476))
- :sparkles: :arrow_up: Add support for `kedro==0.19.X` ([#](https://github.com/Galileo-Galilei/kedro-mlflow/pull/))

### Changed

- :boom: ::arrow_up:: Drop support for ``kedro==0.18.X`` series.
- :boom: :sparkles: Change default ``copy_mode`` to ``"assign"`` in ``KedroPipelineModel`` because this is the most efficient setup (and usually the desired one) when serving a Kedro ``Pipeline`` as a Mlflow model. This is different from Kedro's default which is to deepcopy the dataset ([#463](https://github.com/Galileo-Galilei/kedro-mlflow/pull/463)).
- :boom: :recycle: ``MlflowArtifactDataset.__init__`` method ``data_set`` argument is renamed ``dataset`` to match new Kedro conventions ([#391](https://github.com/Galileo-Galilei/kedro-mlflow/pull/391)).
- :boom: :recycle: Rename the following ``DataSets`` with the ``Dataset`` suffix (without capitalized ``S``) to match new kedro conventions from ``kedro>=0.19`` and onwards ([#439, ShubhamZoro](https://github.com/Galileo-Galilei/kedro-mlflow/pull/439)):
- ``MlflowArtifactDataSet``->``MlflowArtifactDataset``
- ``MlflowAbstractModelDataSet``->``MlflowAbstractModelDataset``
- ``MlflowModelRegistryDataSet``->``MlflowModelRegistryDataset``
- ``MlflowMetricDataSet``->``MlflowMetricDataset``
- ``MlflowMetricHistoryDataSet``->``MlflowMetricHistoryDataset``
- :boom: :recycle: Rename the following ``DataSets`` to make their use more explicit, and use the ``Dataset`` suffix:
- ``MlflowModelLoggerDataSet``->``MlflowModelTrackingDataset`` ([#391](https://github.com/Galileo-Galilei/kedro-mlflow/pull/391))
- ``MlflowModelSaverDataSet``->``MlflowModelLocalFileSystemDataset`` ([#391](https://github.com/Galileo-Galilei/kedro-mlflow/pull/391))
- ``MlflowMetricsDataSet``->``MlflowMetricsHistoryDataset`` ([#440](https://github.com/Galileo-Galilei/kedro-mlflow/pull/440))
- :boom: ::arrow_up:: Drop support for `kedro==0.18.X` series.
- :boom: :sparkles: Change default `copy_mode` to `"assign"` in `KedroPipelineModel` because this is the most efficient setup (and usually the desired one) when serving a Kedro `Pipeline` as a Mlflow model. This is different from Kedro's default which is to deepcopy the dataset ([#463](https://github.com/Galileo-Galilei/kedro-mlflow/pull/463)).
- :boom: :recycle: `MlflowArtifactDataset.__init__` method `data_set` argument is renamed `dataset` to match new Kedro conventions ([#391](https://github.com/Galileo-Galilei/kedro-mlflow/pull/391)).
- :boom: :recycle: Rename the following `DataSets` with the `Dataset` suffix (without capitalized `S`) to match new kedro conventions from `kedro>=0.19` and onwards ([#439, ShubhamZoro](https://github.com/Galileo-Galilei/kedro-mlflow/pull/439)):
- `MlflowArtifactDataSet`->`MlflowArtifactDataset`
- `MlflowAbstractModelDataSet`->`MlflowAbstractModelDataset`
- `MlflowModelRegistryDataSet`->`MlflowModelRegistryDataset`
- `MlflowMetricDataSet`->`MlflowMetricDataset`
- `MlflowMetricHistoryDataSet`->`MlflowMetricHistoryDataset`
- :boom: :recycle: Rename the following `DataSets` to make their use more explicit, and use the `Dataset` suffix:
- `MlflowModelLoggerDataSet`->`MlflowModelTrackingDataset` ([#391](https://github.com/Galileo-Galilei/kedro-mlflow/pull/391))
- `MlflowModelSaverDataSet`->`MlflowModelLocalFileSystemDataset` ([#391](https://github.com/Galileo-Galilei/kedro-mlflow/pull/391))
- `MlflowMetricsDataSet`->`MlflowMetricsHistoryDataset` ([#440](https://github.com/Galileo-Galilei/kedro-mlflow/pull/440))

## [0.11.10] - 2023-10-03

### Fixed

- :bug: Avoid error when using ``kedro==0.18.1`` with `TemplatedConfigLoader` and no `mlflow.yml` configuration file ([#452, sami-sweng](https://github.com/Galileo-Galilei/kedro-mlflow/issues/452))
- :bug: Avoid error when using `kedro==0.18.1` with `TemplatedConfigLoader` and no `mlflow.yml` configuration file ([#452, sami-sweng](https://github.com/Galileo-Galilei/kedro-mlflow/issues/452))

## [0.11.9] - 2023-07-23

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- :zap: `get_mlflow_config` now uses the Kedro `ProjectContext` `ConfigLoader` to get configs ([#66](https://github.com/Galileo-Galilei/kedro-mlflow/issues/66)). This indirectly solves the following issues:
- `get_mlflow_config` now works in interactive mode if `load_context` is called with a path different from the working directory ([#30](https://github.com/Galileo-Galilei/kedro-mlflow/issues/30))
- ``kedro_mlflow`` now works fine with ``kedro jupyter notebook`` independently of the working directory ([#64](https://github.com/Galileo-Galilei/kedro-mlflow/issues/64))
- `kedro_mlflow` now works fine with `kedro jupyter notebook` independently of the working directory ([#64](https://github.com/Galileo-Galilei/kedro-mlflow/issues/64))
- You can use global variables in `mlflow.yml` which is now properly parsed if you use a `TemplatedConfigLoader` ([#72](https://github.com/Galileo-Galilei/kedro-mlflow/issues/72))
- :bug: `MlflowMetricsHistoryDataset` now saves in the specified `run_id` instead of the current one when the prefix is not specified ([#62](https://github.com/Galileo-Galilei/kedro-mlflow/issues/62))
- :memo: Other bug fixes and documentation improvements ([#6](https://github.com/Galileo-Galilei/kedro-mlflow/issues/6), [#99](https://github.com/Galileo-Galilei/kedro-mlflow/issues/99))
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- :sparkles: Add `MlflowDataSet` for artifacts autologging
- :sparkles: Add `PipelineMl` class and its `pipeline_ml` factory for pipeline packaging and service

[Unreleased]: https://github.com/Galileo-Galilei/kedro-mlflow/compare/0.11.10...HEAD
[Unreleased]: https://github.com/Galileo-Galilei/kedro-mlflow/compare/0.12.0...HEAD

[0.12.0]: https://github.com/Galileo-Galilei/kedro-mlflow/compare/0.11.10...0.12.0

[0.11.10]: https://github.com/Galileo-Galilei/kedro-mlflow/compare/0.11.9...0.11.10

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2 changes: 1 addition & 1 deletion README.md
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----------------------------------------------------------
| Branch | Tests | Coverage | Links | Documentation | Deployment | Activity |
| -------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ---------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `master` | [![test](https://github.com/Galileo-Galilei/kedro-mlflow/workflows/test/badge.svg?branch=master)](https://github.com/Galileo-Galilei/kedro-mlflow/actions?query=workflow%3Atest+branch%3Amaster) | [![codecov](https://codecov.io/gh/Galileo-Galilei/kedro-mlflow/branch/master/graph/badge.svg)](https://codecov.io/gh/Galileo-Galilei/kedro-mlflow/branch/master) | [![links](https://github.com/Galileo-Galilei/kedro-mlflow/workflows/check-links/badge.svg?branch=master)](https://github.com/Galileo-Galilei/kedro-mlflow/actions?query=workflow%3Acheck-links+branch%3Amaster) | [![Documentation](https://readthedocs.org/projects/kedro-mlflow/badge/?version=stable)](https://kedro-mlflow.readthedocs.io/en/stable/) | [![publish](https://github.com/Galileo-Galilei/kedro-mlflow/workflows/publish/badge.svg?branch=master)](https://github.com/Galileo-Galilei/kedro-mlflow/actions?query=branch%3Amaster+workflow%3Apublish) | [![commit](https://img.shields.io/github/commits-since/Galileo-Galilei/kedro-mlflow/0.11.10)](https://github.com/Galileo-Galilei/kedro-mlflow/compare/0.11.10...master) |
| `master` | [![test](https://github.com/Galileo-Galilei/kedro-mlflow/workflows/test/badge.svg?branch=master)](https://github.com/Galileo-Galilei/kedro-mlflow/actions?query=workflow%3Atest+branch%3Amaster) | [![codecov](https://codecov.io/gh/Galileo-Galilei/kedro-mlflow/branch/master/graph/badge.svg)](https://codecov.io/gh/Galileo-Galilei/kedro-mlflow/branch/master) | [![links](https://github.com/Galileo-Galilei/kedro-mlflow/workflows/check-links/badge.svg?branch=master)](https://github.com/Galileo-Galilei/kedro-mlflow/actions?query=workflow%3Acheck-links+branch%3Amaster) | [![Documentation](https://readthedocs.org/projects/kedro-mlflow/badge/?version=stable)](https://kedro-mlflow.readthedocs.io/en/stable/) | [![publish](https://github.com/Galileo-Galilei/kedro-mlflow/workflows/publish/badge.svg?branch=master)](https://github.com/Galileo-Galilei/kedro-mlflow/actions?query=branch%3Amaster+workflow%3Apublish) | [![commit](https://img.shields.io/github/commits-since/Galileo-Galilei/kedro-mlflow/0.12.0)](https://github.com/Galileo-Galilei/kedro-mlflow/compare/0.12.0...master) |

*If you like the repo, please give it a :star:*

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4 changes: 2 additions & 2 deletions docs/source/02_installation/01_installation.md
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Expand Up @@ -77,10 +77,10 @@ projects. It is developed as part of
the Kedro initiative at QuantumBlack.

Installed plugins:
kedro_mlflow: 0.11.10 (hooks:global,project)
kedro_mlflow: 0.12.0 (hooks:global,project)
```

The version ``0.11.10`` of the plugin is installed and has both global and project commands.
The version ``0.12.0`` of the plugin is installed and has both global and project commands.

That's it! You are now ready to go!

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2 changes: 1 addition & 1 deletion docs/source/03_getting_started/01_example_project.md
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Expand Up @@ -7,7 +7,7 @@ Create a conda environment and install ``kedro-mlflow`` (this will automatically
```console
conda create -n km_example python=3.9 --yes
conda activate km_example
pip install kedro-mlflow==0.11.10
pip install kedro-mlflow==0.12.0
```

## Install the toy project
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2 changes: 1 addition & 1 deletion kedro_mlflow/__init__.py
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"""kedro-mlflow plugin constants
"""
__version__ = "0.11.10"
__version__ = "0.12.0"

import logging

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2 changes: 1 addition & 1 deletion pyproject.toml
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Expand Up @@ -14,7 +14,7 @@ ignore = ["E501", "PLR0913"] # Black take care off line-too-long
exclude = ["/template/"]

[tool.bumpversion]
current_version = "0.11.10"
current_version = "0.12.0"

[[tool.bumpversion.files]]
filename = "setup.py"
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2 changes: 1 addition & 1 deletion setup.py
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Expand Up @@ -25,7 +25,7 @@ def _parse_requirements(path, encoding="utf-8"):

setup(
name=NAME,
version="0.11.10", # this will be bumped automatically by bump-my-version
version="0.12.0", # this will be bumped automatically by bump-my-version
description="A kedro-plugin to use mlflow in your kedro projects",
license="Apache Software License (Apache 2.0)",
long_description=README,
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