A Machine Learning API for Earth Observation Data Cubes Based on openEO
This work proposes a process-level ML specification for openEO structured into three stages: model initialization, model actions (training, tuning, inference, validation), and model management, which supports classical algorithms such as Random Forest and SVM, as well as deep learning architectures for time-series and...
Brian Pondi, Jonas Hurst, Rolf Simoes et al.
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