🚀 Bump version and CHANGELOG for release 0.7.5 (#244)

Galileo-Galilei · Sep 21, 2021 · 8475853 · 8475853
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diff --git a/CHANGELOG.md b/CHANGELOG.md
@@ -2,16 +2,18 @@
 
 ## [Unreleased]
 
+## [0.7.5] - 2021-09-21
+
 ### Added
 
-- :sparkles: Add support for notebook use. When a notebook is opened via a kedro command (e.g. `kedro jupyter notebook`), you can call the `%reload_kedro_mlflow` line magic to setup mlflow configuration automatically. A ``mlflow_client`` to the database is also created available as a global variable ([#124](https://github.com/Galileo-Galilei/kedro-mlflow/issues/124)).
-- :memo: Add automatic API documentation through docstrings for better consistency between code and docs ([#110](https://github.com/Galileo-Galilei/kedro-mlflow/issues/110)). All docstrings are not updated yet and it will be a long term work.
+-   :sparkles: Add support for notebook use. When a notebook is opened via a kedro command (e.g. `kedro jupyter notebook`), you can call the `%reload_kedro_mlflow` line magic to setup mlflow configuration automatically. A `mlflow_client` to the database is also created available as a global variable ([#124](https://github.com/Galileo-Galilei/kedro-mlflow/issues/124)).
+-   :memo: Add automatic API documentation through docstrings for better consistency between code and docs ([#110](https://github.com/Galileo-Galilei/kedro-mlflow/issues/110)). All docstrings are not updated yet and it will be a long term work.
 
 ### Changed
 
-- :recycle: ``KedroMlflowConfig`` was refactored with pydantic for improved type checking when loading configuration, overall robustness and autocompletion. Its keys have changed, but it is not considered as a user facing changes since the public function ``get_mlflow_config()`` and ``KedroMlflowConfig().setup()`` are not modified.
+-   :recycle: `KedroMlflowConfig` was refactored with pydantic for improved type checking when loading configuration, overall robustness and autocompletion. Its keys have changed, but it is not considered as a user facing changes since the public function `get_mlflow_config()` and `KedroMlflowConfig().setup()` are not modified.
 
-- :wastebasket: The ``kedro.framework.context`` folder is moved to ``kedro.config`` for consistency with the Kedro repo structure: ``get_mlflow_config`` import must change from `from kedro_mlflow.framework.context import get_mlflow_config` to `from kedro_mlflow.config import get_mlflow_config`.
+-   :wastebasket: The `kedro.framework.context` folder is moved to `kedro.config` for consistency with the Kedro repo structure: `get_mlflow_config` import must change from `from kedro_mlflow.framework.context import get_mlflow_config` to `from kedro_mlflow.config import get_mlflow_config`.
 
 ## [0.7.4] - 2021-08-30
 
@@ -240,7 +242,9 @@
 -   :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/0.7.4...HEAD
+[Unreleased]: https://github.com/Galileo-Galilei/kedro-mlflow/compare/0.7.5...HEAD
+
+[0.7.5]: https://github.com/Galileo-Galilei/kedro-mlflow/compare/0.7.4...0.7.5
 
 [0.7.4]: https://github.com/Galileo-Galilei/kedro-mlflow/compare/0.7.3...0.7.4
 

diff --git a/README.md b/README.md
@@ -13,7 +13,7 @@
 ----------------------------------------------------------
 | 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/0.7.4)](https://github.com/Galileo-Galilei/kedro-mlflow/compare/0.7.4...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/0.7.5)](https://github.com/Galileo-Galilei/kedro-mlflow/compare/0.7.5...master)|
 
 # What is kedro-mlflow?
 

diff --git a/docs/source/01_introduction/02_motivation.md b/docs/source/01_introduction/02_motivation.md
@@ -44,6 +44,6 @@ Above implementations have the advantage of being very straightforward and *mlfl
 |Logging metrics              |``catalog.yml``    |``MlflowMetricsDataSet``                          |
 |Logging Pipeline as model    |``hooks.py``    |``KedroPipelineModel`` and ``pipeline_ml_factory``|
 
-In the current version (``kedro_mlflow=0.7.4``), `kedro-mlflow` does not provide interface to set tags outside a Kedro ``Pipeline``. Some of above decisions are subject to debate and design decisions (for instance, metrics are often updated in a loop during each epoch / training iteration and it does not always make sense to register the metric between computation steps, e.g. as a an I/O operation after a node run).
+In the current version (``kedro_mlflow=0.7.5``), `kedro-mlflow` does not provide interface to set tags outside a Kedro ``Pipeline``. Some of above decisions are subject to debate and design decisions (for instance, metrics are often updated in a loop during each epoch / training iteration and it does not always make sense to register the metric between computation steps, e.g. as a an I/O operation after a node run).
 
-_**Note:** the version ``0.7.4`` does not need any ``MLProject`` file to use mlflow inside your Kedro project. As seen in the [introduction](./01_introduction.md), this file overlaps with Kedro configuration files._
+_**Note:** the version ``0.7.5`` does not need any ``MLProject`` file to use mlflow inside your Kedro project. As seen in the [introduction](./01_introduction.md), this file overlaps with Kedro configuration files._
diff --git a/docs/source/02_installation/01_installation.md b/docs/source/02_installation/01_installation.md
@@ -77,10 +77,10 @@ projects. It is developed as part of
 the Kedro initiative at QuantumBlack.
 
 Installed plugins:
-kedro_mlflow: 0.7.4 (hooks:global,project)
+kedro_mlflow: 0.7.5 (hooks:global,project)
 ```
 
-The version ``0.7.4`` of the plugin is installed and has both global and project commands.
+The version ``0.7.5`` of the plugin is installed and has both global and project commands.
 
 That's it! You are now ready to go!
 

diff --git a/docs/source/03_getting_started/01_example_project.md b/docs/source/03_getting_started/01_example_project.md
@@ -7,7 +7,7 @@ Create a conda environment and install ``kedro-mlflow`` (this will automatically
 ```console
 conda create -n km_example python=3.6.8 --yes
 conda activate km_example
-pip install kedro-mlflow==0.7.4
+pip install kedro-mlflow==0.7.5
 ```
 
 ## Install the toy project

diff --git a/docs/source/04_experimentation_tracking/02_version_parameters.md b/docs/source/04_experimentation_tracking/02_version_parameters.md
@@ -2,7 +2,7 @@
 
 ## Automatic parameters versioning
 
-Parameters versioning is automatic when the ``MlflowNodeHook`` is added to [the hook list of the ``ProjectContext``](https://kedro-mlflow.readthedocs.io/en/latest/source/02_installation/02_setup.html#declaring-kedro-mlflow-hooks). In ``kedro-mlflow==0.7.4``, the `mlflow.yml` configuration file has a parameter called ``flatten_dict_params`` which enables to [log as distinct parameters the (key, value) pairs of a ```Dict`` parameter](../07_python_objects/02_Hooks.md).
+Parameters versioning is automatic when the ``MlflowNodeHook`` is added to [the hook list of the ``ProjectContext``](https://kedro-mlflow.readthedocs.io/en/latest/source/02_installation/02_setup.html#declaring-kedro-mlflow-hooks). In ``kedro-mlflow==0.7.5``, the `mlflow.yml` configuration file has a parameter called ``flatten_dict_params`` which enables to [log as distinct parameters the (key, value) pairs of a ```Dict`` parameter](../07_python_objects/02_Hooks.md).
 
 You **do not need any additional configuration** to benefit from parameters versioning.
 

diff --git a/docs/source/04_experimentation_tracking/03_version_datasets.md b/docs/source/04_experimentation_tracking/03_version_datasets.md
@@ -78,7 +78,7 @@ Setting the `mlflow_tracking_uri` key of `mlflow.yml` to the url of this server
 
 You can refer to [this issue](https://github.com/Galileo-Galilei/kedro-mlflow/issues/15) for further details.
 
-In ``kedro-mlflow==0.7.4`` you must configure these elements by yourself. Further releases will introduce helpers for configuration.
+In ``kedro-mlflow==0.7.5`` you must configure these elements by yourself. Further releases will introduce helpers for configuration.
 
 ### Can I log an artifact in a specific run?
 

diff --git a/kedro_mlflow/__init__.py b/kedro_mlflow/__init__.py
@@ -1,3 +1,3 @@
 """kedro-mlflow plugin constants
 """
-__version__ = "0.7.4"
+__version__ = "0.7.5"
diff --git a/setup.cfg b/setup.cfg
@@ -1,5 +1,5 @@
 [bumpversion]
-current_version = 0.7.4
+current_version = 0.7.5
 
 [tool:pytest]
 addopts = --cov=kedro_mlflow --cov-report=html tests/

diff --git a/setup.py b/setup.py
@@ -25,7 +25,7 @@ def _parse_requirements(path, encoding="utf-8"):
 
 setup(
     name=NAME,
-    version="0.7.4",  # this will be bumped automatically by bump2version
+    version="0.7.5",  # this will be bumped automatically by bump2version
     description="A kedro-plugin to use mlflow in your kedro projects",
     license="Apache Software License (Apache 2.0)",
     long_description=README,