nilsnevertree / kalman-reconstruction-partially-observed-systems

Data-driven Reconstruction of Partially Observed Dynamical Systems using Kalman Algorithms in an itterative way
GNU General Public License v3.0
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Implement analysis methods to compute the performance metrics in an encapsulated way. #45

Closed nilsnevertree closed 1 year ago

nilsnevertree commented 1 year ago

The analysis and experiments need to be performed in an encapsuled way to make sure they are reproducable. The corresponding functions can be included in the pipline.py file. Using the xarray dataset as suggested in #37 allows to used parallelization for the analysis and computation.