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Created with Raphaël 2.2.024Jan222120191817141311107654321Dec201715131211987632130Nov29262524232221191817161512119843229Oct28272625222120191815141312118765427Sep241413987632131Aug30272625242322212019181716141312119643227Jul26232221201918161587542130Jun2928232221181728Maycreated WorkflowPostprocessingOnly to try independent plottingMerge branch 'felix_issue354-allow-fixed-variable-list-for-feature-importance-boots' into sectorial_bootstrapsfist ideas for sectorial set bootsworkflow_selection added in parser argumentstransformation for input disabled if pca or legendre transformation is activated in __init__ of CDC DataHandlerself._transformation dict removed for input if pca or legendre transformation is appliedpca_xr is not saved if just loaded anymorefixed pca_hash containing DWD_ where it shouldntfixed norm_method is not an attribute of DataHandlerCDCSingleStationuse class variables for chem and meteo names, is now able to distinguish for all parameters of the data handler if provided as dict with respective keys, only use test stations for block mse calculationfixed daterange name in pca_file_hash_listconfiguration for new PCA method added to dh init and run_mtfalco.pyfixed logging being not on info levelalso ensure variables order in get_Xdefault n_pca_dimensions=6, logging to file and console added, check_existing_pca_files added, defaults addedassure variable order in input_dataadded some testsnew method sort_like to ensure ordering when extracting meteo and chem variablesupdate testssave_pca fixcan now use external plot datesrun_pca_reduction.py without searching for existing, concatenate right shape for 2nd arrayconcatenate on axis=1 for res from get_pca_fitfixed res from get_pca_fit having wrong shape (or just not enough pca_dims)removed hard coded window dimadded some doc strings, removed outdated lines, updated some testsupdated some testsplots also fixed for now, refac required to remove comments and todosattempt to avoid RuntimeErrors in nanstd evaluation in pca_stochastic_driveattempt to avoid RuntimeErrors in nanstd evaluation in pca_stochastic_drivefilter works now, visualization has to be adjusted, there is a new parameter window_history_end that sets the end of the input sampleattempt to avoid RuntimeErrors in nanstd evaluation in pca_stochastic_driveattempt to avoid RuntimeErrors in nanstd evaluation in pca_stochastic_driveattempt to avoid RuntimeErrors in nanstd evaluation in pca_stochastic_drivemore docu for calculate_shrinkage_pcadropping window samples per variable in get_pca_fit fixedfixed drop_vars evaluation in PCA_independentfixed wrong shapes in emp_corr_mat calculation when certain nan vars are droppedrun_pca_reduction.py process updated to new class based PCA_independentproper removal of variables in retrieve_db_data, broadcasting for stoch_drive nodask version fixed