Draft: SaQC Machine Learning module

Peter Lünenschloßrequested to merge
XGBimplementation into develop

Module trying to make machine learning on timeseries do able in two liners.

Implements saqc.funcs.ml module, containing:

  • ml.trainModel: Fit a model to explain target data by field data and store the model together with its configuration to a model folder

  • ml.modelPredict: use stored model to predict field (processing function)

  • ml.modelFlag: use stored (binary classification) model to flag field. (flagging dunction)

  • ml.modelImpute: use stored model to apply imputation to field

Currently the Pipeline fails, because of a deprecation warning caused by a package (SHAP), wich is used by the Auto tuner Module (mljar-upervised).

Edited by Peter Lünenschloß

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