Getting Started¶
\(\texttt{eurocropsml}\) is a Python package hosted on PyPI.
Installation¶
The recommended installation method is pip-installing into a virtual environment:
$ python -Im pip install eurocropsml
Usage Guide¶
The quickest way to interact with the \(\texttt{eurocropsml}\) package and get started is using the \(\texttt{EuroCropsML}\) dataset via the provided command-line interface (CLI).
Example
To get help on available commands and options, use
$ eurocropsml-cli --help
Example
To show the currently used (default) configuration for the \(\texttt{eurocropsml}\) dataset CLI, use
$ eurocropsml-cli datasets eurocrops config
Example
To download the \(\texttt{EuroCropsML}\) dataset as currently configured, use
$ eurocropsml-cli datasets eurocrops download
Alternatively, the dataset can also be manually downloaded from our Zenodo repository.
See also
A comprehensive documentation of the CLI can be found in our CLI Reference.
See also
More hands-on examples on using this package and its customization options can be found in our Examples.
See also
For a complete example use-case demonstrating the ready-to-use \(\texttt{EuroCropsML}\) dataset in action, please refer to the project’s associated official repository for benchmarking meta-learning algorithms.