A RetroSearch Logo

Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Search Query:

Showing content from https://pypi.python.org/pypi/xbatcher below:

xbatcher ยท PyPI

Project description

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 for more info.

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, Dask, and NumPy. You will need to separately install TensorFlow or PyTorch to use those data loaders or Xarray accessors. Review the installation instructions 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

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution Built Distribution File details

Details for the file xbatcher-0.4.0.tar.gz.

File metadata File hashes Hashes for xbatcher-0.4.0.tar.gz Algorithm Hash digest SHA256 6744005c76699659586a92d35a497e327749b37aa441e941c07a696ec99b6a8f MD5 7b733b33a4b22b40d9be27e702fb3fa0 BLAKE2b-256 9fbf28661c7535fa29cac2236a3854ea976668ab2e9dcc2d893f3fa2260a6161

See more details on using hashes here.

File details

Details for the file xbatcher-0.4.0-py3-none-any.whl.

File metadata File hashes Hashes for xbatcher-0.4.0-py3-none-any.whl Algorithm Hash digest SHA256 a52dfa4e772c83f7a1937261c9a51cba656edefd09f5ffd780f62da2ad0dbea2 MD5 e7f171bd5a62502b92583ed92005d9c4 BLAKE2b-256 85f09a67b054cd767e3beddb439969c30d885b59b617d743dda5e01efb693ee4

See more details on using hashes here.


RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4