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Dataset-agnostic ML classification library. Visualization tools, Slack integration, support for multiple-pipelines.
pip install efficient-classifier
PyPI declares 129 unique dependency rules for this release. Environment markers are shown when supplied by the project.
==2.2.2==0.1.4==3.0.0==1.6.3==1.2.0==0.4.3==1.2.8==2025.4.26==3.4.1==0.2.2==1.3.0==0.12.1==1.8.13==5.2.1==0.21.2==0.9.9==1.2.2==2.2.0==3.18.0==25.2.10==4.56.0==2025.3.2==0.6.0==0.2.0==0.20.3The compact report shows 25 of 129 declarations. The interactive dependency graph loads the complete metadata.
efficient-classifier publishes 1 wheel and 1 source archive for version 2.1.2. Wheel platform tags: any.
Declared Python classifiers: 3.6, 3.7, 3.8, 3.9.
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 .