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Build Low Code Automated Tensorflow, What-IF explainable models in just 3 lines of code. To make Deep Learning on Tensorflow absolutely easy for the masses with its low code framework and also increase trust on ML models through What-IF model explainability.
pip install auto-tensorflow
PyPI declares 26 unique dependency rules for this release. Environment markers are shown when supplied by the project.
==1.0.4==2.6.0==1.4.0==1.8.0==2.6.2==0.12.0==1.4.0==7.29.0==2.6.0==0.14.1==1.8.0==0.6.1==1.31.4==1.10.0==0.34.0==2.34.0==3.19.5==3.0.3==5.4.1==2022.6==0.35.0==1.4.0==2.6.0==1.15.0==2.28.1The compact report shows 25 of 26 declarations. The interactive dependency graph loads the complete metadata.
auto-tensorflow publishes 1 wheel and 1 source archive for version 1.3.4. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI does not currently declare: Python requirement. PyDeps marks these fields as unknown instead of guessing values.
PyPI lists 9 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .