There are multiple installation methods and instructions: docker, conda, pip, hatch, with/without R dependencies, ...
Since #192 R dependencies are no longer called through rpy2 but simply a command line call. This should make springtime less entangled with its R dependencies, and could simplify the installation itself.
Also since #192, ML packages used in tutorial are no longer really part of the package.
Also the dependencies as specified in pyproject.toml are outdated.
In the documentation (and elsewhere), it might make sense to distinguish between the springtime python package and the springtime project environment.
Peter9192
commented
7 months ago
There are multiple installation methods and instructions: docker, conda, pip, hatch, with/without R dependencies, ...
Since #192 R dependencies are no longer called through rpy2 but simply a command line call. This should make springtime less entangled with its R dependencies, and could simplify the installation itself.
Also since #192, ML packages used in tutorial are no longer really part of the package. Also the dependencies as specified in pyproject.toml are outdated.
In the documentation (and elsewhere), it might make sense to distinguish between the springtime python package and the springtime project environment.