Factual package intelligence from PyPI
Open source library for using TensorFlow to train models on on Amazon SageMaker.
pip install sagemaker-tensorflow-training
PyPI declares 25 unique dependency rules for this release. Environment markers are shown when supplied by the project.
<=4.8.3,>=4.3.0<1.24The compact report shows 12 of 25 declarations. The interactive dependency graph loads the complete metadata.
sagemaker-tensorflow-training publishes 0 wheels and 1 source archive for version 20.5.0. Wheel platform tags: No wheel platform tags.
Declared Python classifiers: 3.7, 3.8, 3.9.
PyPI does not currently declare: Python requirement. PyDeps marks these fields as unknown instead of guessing values.
PyPI lists 66 releases with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .