diff --git a/CHANGELOG.md b/CHANGELOG.md index d489da6b31362241a71779435bb6b57e535261bd..c91817975db1f9420c761c6c5c482b8ebeb321df 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,6 +1,25 @@ # Changelog All notable changes to this project will be documented in this file. +## v2.4.0 - 2023-06-30- IFS data and bias-corrected evaluation + +### general: +* support IFS data (local) and ERA5 data (from toar db) +* bias free evaluation +### new features: +* can load local IFS forecast data as input (#450) +* can also load ERA5 data from toar db as alternative to locally stored data (#449) +* new plot to show monthly data distributions in subsets (#445) +* can load a DL model from external path (#448) +* introduced option to bias-correct model's and competitors' forecasts (#442) +* can use different interpolation methods when having CAMS as competitor (#444) +### technical: +* change toar statistics from api v1 to api v2 (#454) +* now able to set configuration paths for local era5 and ifs data as experiment parameter (#457) +* improved retry strategy when downloading data from toar db (#453) +* updated packages (#452) +* calculation of filter apriori is more robust now, properties are stored inside experiment folder (#447, #451) + ## v2.3.0 - 2022-11-25 - new models and plots ### general: diff --git a/README.md b/README.md index 212aac2ac068e88f957b8f8cfb756c8ce9e476f9..c83069d9e1552804be6fe58d0a292008b3e03cbf 100644 --- a/README.md +++ b/README.md @@ -34,7 +34,7 @@ HPC systems, see [here](#special-instructions-for-installation-on-jülich-hpc-sy * Installation of **MLAir**: * Either clone MLAir from the [gitlab repository](https://gitlab.jsc.fz-juelich.de/esde/machine-learning/mlair.git) and use it without installation (beside the requirements) - * or download the distribution file ([current version](https://gitlab.jsc.fz-juelich.de/esde/machine-learning/mlair/-/blob/master/dist/mlair-2.2.0-py3-none-any.whl)) + * or download the distribution file ([current version](https://gitlab.jsc.fz-juelich.de/esde/machine-learning/mlair/-/blob/master/dist/mlair-2.4.0-py3-none-any.whl)) and install it via `pip install <dist_file>.whl`. In this case, you can simply import MLAir in any python script inside your virtual environment using `import mlair`. diff --git a/dist/mlair-2.4.0-py3-none-any.whl b/dist/mlair-2.4.0-py3-none-any.whl new file mode 100644 index 0000000000000000000000000000000000000000..63d4bb6b219840a218a50ab9da0b3c48a17ef18e Binary files /dev/null and b/dist/mlair-2.4.0-py3-none-any.whl differ diff --git a/docs/_source/installation.rst b/docs/_source/installation.rst index 182489dbd5fd60c38808eebf66ac32bd661ec6ca..030b8f6b05f2141c5d6403b0be13e9b2e7438b66 100644 --- a/docs/_source/installation.rst +++ b/docs/_source/installation.rst @@ -27,7 +27,7 @@ Installation of MLAir * Install all requirements from `requirements.txt <https://gitlab.jsc.fz-juelich.de/esde/machine-learning/mlair/-/blob/master/requirements.txt>`_ preferably in a virtual environment * Either clone MLAir from the `gitlab repository <https://gitlab.jsc.fz-juelich.de/esde/machine-learning/mlair.git>`_ -* or download the distribution file (`current version <https://gitlab.jsc.fz-juelich.de/esde/machine-learning/mlair/-/blob/master/dist/mlair-2.2.0-py3-none-any.whl>`_) +* or download the distribution file (`current version <https://gitlab.jsc.fz-juelich.de/esde/machine-learning/mlair/-/blob/master/dist/mlair-2.40-py3-none-any.whl>`_) and install it via :py:`pip install <dist_file>.whl`. In this case, you can simply import MLAir in any python script inside your virtual environment using :py:`import mlair`. diff --git a/mlair/__init__.py b/mlair/__init__.py index e55918caf0a84391ba912d31fc18c2e166c1317b..d76d1b3dbf250e77ac4eb6ecb8f9e30990cff372 100644 --- a/mlair/__init__.py +++ b/mlair/__init__.py @@ -1,6 +1,6 @@ __version_info__ = { 'major': 2, - 'minor': 3, + 'minor': 4, 'micro': 0, }