Name | xbatcher JSON |
Version |
0.4.0
JSON |
| download |
home_page | None |
Summary | Batch generation from Xarray objects |
upload_time | 2024-09-17 21:54:42 |
maintainer | None |
docs_url | None |
author | None |
requires_python | >=3.10 |
license | Apache |
keywords |
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VCS |
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bugtrack_url |
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requirements |
No requirements were recorded.
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No Travis.
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coveralls test coverage |
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xbatcher: Batch Generation from Xarray Datasets
===============================================
|Build Status| |codecov| |docs| |pypi| |conda-forge| |license|
Xbatcher is a small library for iterating Xarray DataArrays and Datasets in
batches. The goal is to make it easy to feed Xarray objects to machine
learning libraries such as PyTorch_ or TensorFlow_. View the |docs| for more
info.
.. _TensorFlow: https://www.tensorflow.org/
.. _PyTorch: https://pytorch.org/
.. |Build Status| image:: https://github.com/xarray-contrib/xbatcher/workflows/CI/badge.svg
:target: https://github.com/xarray-contrib/xbatcher/actions
:alt: github actions build status
.. |codecov| image:: https://codecov.io/gh/xarray-contrib/xbatcher/branch/main/graph/badge.svg
:target: https://codecov.io/gh/xarray-contrib/xbatcher
:alt: code coverage
.. |docs| image:: http://readthedocs.org/projects/xbatcher/badge/?version=latest
:target: http://xbatcher.readthedocs.org/en/latest/?badge=latest
:alt: docs
.. |pypi| image:: https://img.shields.io/pypi/v/xbatcher.svg
:target: https://pypi.python.org/pypi/xbatcher
:alt: pypi
.. |conda-forge| image:: https://img.shields.io/conda/vn/conda-forge/xbatcher.svg
:target: https://anaconda.org/conda-forge/xbatcher
:alt: conda-forge
.. |license| image:: https://img.shields.io/github/license/xarray-contrib/xbatcher.svg
:target: https://github.com/xarray-contrib/xbatcher
:alt: license
Installation
------------
Xbatcher can be installed from PyPI as::
python -m pip install xbatcher
Or via Conda as::
conda install -c conda-forge xbatcher
Or from source as::
python -m pip install git+https://github.com/xarray-contrib/xbatcher.git
.. note::
The required dependencies installed with Xbatcher are `Xarray <https://xarray.dev/>`_,
`Dask <https://www.dask.org/>`_, and `NumPy <https://numpy.org/>`_.
You will need to separately install `TensorFlow <https://www.tensorflow.org/>`_
or `PyTorch <https://pytorch.org/>`_ to use those data loaders or
Xarray accessors. `Review the installation instructions <https://xbatcher.readthedocs.io/en/latest/#optional-dependencies>`_
for more details.
Documentation
-------------
Documentation is hosted on ReadTheDocs: https://xbatcher.readthedocs.org
License
------------
Apache License 2.0, see LICENSE file.
Acknowledgements
----------------
This work was funded in part by:
NASA ACCESS19-0049: Pangeo ML: Open Source Tools and Pipelines for Scalable Machine Learning Using NASA Earth Observation Data
This work was motivated by many conversations in the Pangeo community and Pangeo ML working group
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