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wheat-yield-prediction-toolkit 0.1.6 package intelligence

Wheat Yield Prediction Toolkit is a package that provides tools for predicting wheat yield at the county level in the main wheat-producing regions of the US using deep learning approaches. The package includes modules for data collection, preprocessing, modeling, and uncertainty

pip install wheat-yield-prediction-toolkit

Current version
0.1.6
Python requirement
>=3.9
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
22.5 MiB
Release history
7 releases with files
Median release cadence
1 days

wheat-yield-prediction-toolkit dependencies

PyPI declares 12 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. tqdm
  2. geopandas
  3. pytest
  4. pandas
  5. python-dotenv
  6. pyarrow
  7. earthengine-api
  8. geemap
  9. rasterio
  10. owslib
  11. scienceplots
  12. meteostat

Compatibility and release files

wheat-yield-prediction-toolkit publishes 1 wheel and 1 source archive for version 0.1.6. Wheel platform tags: any.

Declared Python classifiers: 3.9.

Release activity and sources

PyPI lists 7 releases with files. The first dated release is ; 7 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .