Package · PyPI
PyPI · v1.3.2 · MIT
Automated Machine Learning for Humans
pip install mljar-supervisedPyPI publishes no adoption figure, so there is no growth to derive. Nothing is estimated in its place.
Adoption history
PyPI publishes no adoption count, so there is no history to chart. That is a fact about the registry, not a gap in ours: the package’s releases and maintenance are measured instead.
In the Crest catalog
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Linked by the package’s own registry metadata.GitHub (opens in a new tab)
>=1.2.8>=2.2.2>=1.0.1>=4.3.0>=3.8.4>=0.3.11<3.0.0,>=2.0.0>=3.6.0>=2.2.2>=1.5.0>=1.13.1>=0.13.2>=0.46.0>=0.8.7>=2.1.0No published news event mentions this package or its repository yet.