PySensors

PySensors is a Scikit-learn style Python package for the sparse placement of sensors, either for reconstruction or classification tasks.

Sparse sensor placement concerns the problem of selecting a small subset of sensor or measurement locations in a way that allows one to perform some task nearly as well as if one had access to measurements at every location.

PySensors provides objects designed for the tasks of reconstruction and classification. See Manohar et al. (2018) for more information about the PySensors approach to reconstruction problems and Brunton et al. (2016) for classification. de Silva et al. (2021) contains a full literature review along with examples and additional tips for using PySensors effectively.