From bafdac362f43aadec66c58236cab9892d87161eb Mon Sep 17 00:00:00 2001 From: Adam Date: Wed, 20 Sep 2023 16:37:40 +0200 Subject: [PATCH] Bump version 0.2.7 --- README.md | 2 +- changelog.md | 4 +++- docs/index.md | 2 +- edsteva/__init__.py | 2 +- pyproject.toml | 2 +- 5 files changed, 7 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index 566f3d5..4a77d32 100644 --- a/README.md +++ b/README.md @@ -69,7 +69,7 @@ pip install edsteva We recommend pinning the library version in your projects, or use a strict package manager like [Poetry](https://python-poetry.org/). ``` -pip install edsteva==0.2.6 +pip install edsteva==0.2.7 ``` ## Example diff --git a/changelog.md b/changelog.md index 6b83b09..e73a995 100644 --- a/changelog.md +++ b/changelog.md @@ -1,7 +1,9 @@ # Changelog -## Unreleased +## v0.2.7 - 20-09-2023 +- Add new test for BiologyProbe - Custom probe is simplified +- New parameters GHM and Condition for probe computation ## v0.2.6 - 09-08-2023 - Update LocalData for EDS-Tuto. diff --git a/docs/index.md b/docs/index.md index 80dea86..914e507 100644 --- a/docs/index.md +++ b/docs/index.md @@ -101,7 +101,7 @@ color:green Successfully installed edsteva We recommend pinning the library version in your projects, or use a strict package manager like [Poetry](https://python-poetry.org/). ``` -pip install edsteva==0.2.6 +pip install edsteva==0.2.7 ``` ## Working example: administrative records relative to visits diff --git a/edsteva/__init__.py b/edsteva/__init__.py index e926e2e..bc0d968 100644 --- a/edsteva/__init__.py +++ b/edsteva/__init__.py @@ -1,4 +1,4 @@ -__version__ = "0.2.6" +__version__ = "0.2.7" import importlib diff --git a/pyproject.toml b/pyproject.toml index 826e7d5..1230db1 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "edsteva" -version = "0.2.6" +version = "0.2.7" description = "EDS-TeVa provides a set of tools that aims at modeling the adoption over time and across space of the Electronic Health Records." authors = ["Adam Remaki ", "Vicent Maladiere ", "Benoit Playe ", "Romain Bey ", "Paul Bernard "] keywords = ["OMOP", "Data Analysis", "Electronic health record"]