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).