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Created with Raphaël 2.2.021Jun181728May27262522212019181764329Apr282721201918161514131211109876131Mar302926252322181716151211109854326Feb2524232219181716151211108432129Jan272120191818Dec171615111098732124Nov231817161312116543230Oct292622211587130Sep2824Trying 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 stilladd gc collect statementuse less memory intense version for clim_filter_vectorized to avoid memory issuesfilter plots different seasons, filter returns data with missing values now (not squeezed version)new data handler for mixed sampling and climate fir, fine tuning is required for new parameter apriori_diurnal