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  • 313-allow-non-monotonic-window-lead-times-in-helpers-statistics-py-ahead_names-definition
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Created with Raphaël 2.2.022Jun21181728May27262522212019181764329Apr282721201918161514131211109876131Mar302926252322181716151211109854326Feb2524232219181716151211108432129Jan272120191818Dec171615111098732124Nov231817161312116543230Oct292622211587130Sep2824Todo: l.209Trying to make bins and rates_cap more flexible, inserting default values.Merge remote-tracking branch 'origin/develop' into falco_issue271_feat_add-cdc-database-datahandlerwar bestimmt wichtig, aber zu altTrying to make bins and rates_cap more flexible, inserting default values.Changes according to the threads, using histogram += hist and histogram /= np.amax(histogram) leads to error because of wrong shapeapply_oversampling calculates the desired oversampling_ratesapply_oversampling calculates the desired oversampling_ratesMerge branch 'lukas_issue308_tech_max-number-of-parallel-processes' into 'lukas_issue306_feat_data-handler-fir-filter'adjusted preprocessing testsadded param max_number_multiprocessing to set maximum number of processes to use, /close #308 on test successnew FCN class using branched inputs (can be combined with branched filter data handler)all filter data handlers can now return either filter portions as dimension or distinct branchesadded new parameter dropout_rnnsplit activation for rnn and dense layer partfixed typoadd dense layer between rnn and outputMerge branch 'lukas_issue289_feat_cnn-model-class' into 'lukas_issue306_feat_data-handler-fir-filter'Merge branch 'lukas_issue289_feat_cnn-model-class' into 'develop'new method to calculate seasonal diurnal anomaliesuse mse loss for rnnplotting works better but is still too messy, improved rnn classsmall changeadd vanilla rnndisable plotting for now to have running modulestore intermediate plot implementation, must be refactoreduse single precision for filter, reduce data size always as much as possibleextra loop for each year to prevent memory issuesnew version now applies along window axis instead of just using t0Merge branch 'develop' into felix_issue287_tech-wrf-datahandler-should-inherit-from-singlestationdatahandleradd some documentationadd maplots in __main__add index error to f_procadd another gc collectadd another gc collectinterpolate now takes care, that missing values are not dropped but indicated with nansmore loggingsmore loggingsadded many loggings to find HPC errorsolved lazy error, some station removals have to be fixed still