Understanding H2O AutoML integration in scikit-learn

Scikit-learn is one of the most commonly used open source ML libraries in the field of ML and data science. It is a library for the Python programming language and focuses on ML tooling functions. It involves modules that perform mathematical and statistical analysis, general-purpose ML algorithms, as well as functions to train, test, and evaluate ML models.

Scikit-learn was originally developed by David Cournapeau and was initially called scikits.learn. It was created as a Google Summer of Code project in 2007, which was later picked up as a thesis project by Matthieu Brucher that same year. It was later re-written and further developed by Fabian Pedregosa, Gael Varoquaux, Alexandre Gramfort, and Vincent Michel from the French Institute of Research in Computer Science and Automation in Rocquencourt, France. Scikit-learn’s first public release of version 1 was made on February 1, 2010.

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