Contribution to Operalib

A new Python library Operalib devoted to various machine learning algorithms devoted to operator-valued kernels regression was implemented. Operator-valued kernels regression provide a general framework allowing for learning vectorial, functional and structured outputs including multi-task regression or vector field learning. Operalib includes efficient implementation of the following algorithms: OKR-ridge regression, Naive Online OVKR, Quan- tile Regression.

The library was designed in order to have a close compatibility with scikit-learn. Code and documentation are publicly available at Operalib library and through Pypi.

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