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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 2.2.023Mar201918171613121096543228Feb272618171413121110765431Jan30292724232016151097616Dec1312111096543228Nov2625221815141312118765425Oct24232221181615148#87 update multiply extremes and testschanged file path and added to gitignoreadded small descriptionssmall cleanupbootstraps calculation can be skipped or already calculated data can be used for the boot skill scoresSkill Scores is not a RunEnvironment inheritance anymorehold only fastest boot strap methodMerge branch 'lukas_issue082_refac_default-data-store-scope' into 'develop'added test and documentation for decoratorremoved unnecessary general statement in all data store callsimplemented decorator to skip scope parameterremoved slowest implementationrequirements with gpu supportinformation importance of loading pickle data is debug nowadd progress to check stationadd number of stations to info loggingadded run_zam347 starting scriptinclude current devnumber of bootstraps is now a parameter from experiment setupadd 2nd requirements to distinguish for gpu and non-gpu supported platformsupdateupdate requirements.txtappending from #58removed logger from all run filesMerge branch 'lukas_issue058_feat_upsample-extremes' into 'develop'moved logger to run environmenttests for prep, gen and distadd tests for data preparationcorrect permute errorupsampling is included in experiment workflow and is exclusively restricted to train datadata generator and distributor can use upsamplingimplementation of extremes in data preparation classcorrected testlogfile loggingenhance logger classnew Logger class for stream and file loggingremoved slow create_boot_straps() implementationMerge branch 'lukas_issue071_feat_optional-lr-decay' into 'develop'updated testsadded missing lr availability checks
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