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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 2.2.019Oct1815141312118765427Sep241413987632131Aug30272625242322212019181716141312119643227Jul26232221201918161587542130Jun2928232221181728May27262522212019181764329Apr282721201918161514131211109876131Mar302926252322181716151211109854326Feb25issue with old and new parameter naming is solvedfix type in plot: PlotSampleUncertaintyFromBootstrapMerge branch 'lukas_issue332_feat_report-error-metrics-for-all-competitors' into 'develop'add rmse plot for PlotSampleUncertaintyFromBootstrapinclude horizontal version of PlotSampleUncertaintyFromBootstrapMerge branch 'issue333_feat_test-set-sample-uncertainty' of gitlab.jsc.fz-juelich.de:esde/machine-learning/mlair into issue333_feat_test-set-sample-uncertaintyupdate statistics test (simplistic)update statistics test (simplistic)Merge remote-tracking branch 'origin/issue333_feat_test-set-sample-uncertainty' into issue333_feat_test-set-sample-uncertaintystatistics and raw data of uncertainty estimate are stored nowupdate deflaut plot listMerge branch 'issue333_feat_test-set-sample-uncertainty' of gitlab.jsc.fz-juelich.de:esde/machine-learning/mlair into issue333_feat_test-set-sample-uncertaintyinclude first draft of PlotSampleUncertaintyFromBootstrapuncertainty estimate is now a class attribute and is parsed to plot routineMerge branch 'issue333_feat_sample-uncertainty-rename-feature-importance-bootstrap' into 'issue333_feat_test-set-sample-uncertainty'include first draft of PlotSampleUncertaintyFromBootstrapupdated parameter names in run scriptsinclude first draft of PlotSampleUncertaintyFromBootstraptest updatetest for defaults updatedrenamed feature importance bootstrap variables and methodsadded parameter to set number of boots for uncertainty estimationinclude create_n_bootstrap_realizations in estimate_sample_uncertainty, added left-over todosMerge branch 'issue333A-test-set-sample-uncertainty-in-postprocessing-2' into 'issue333_feat_test-set-sample-uncertainty'draft uncertainiy bootsdraft uncertainiy bootsblock_length and evaluate_competitors can be set from outsidecan calculate block mseMerge branch 'lukas_issue332_feat_report-error-metrics-for-all-competitors' into 'issue333_feat_test-set-sample-uncertainty'add helpersremove does not work properly stillfix issue with remove items if length is of 0fixed another problem with missing station forecastasmake_predict_function() changed to non-private version in training:102, abstract_model_class:134+ disabled __compare_keras_optimizers and rewrite empty lists with Noneadded weighted skill score mean to tablesanother adjustment for cases that no observation but a competitor is availablechange naming of skill score reportssmall fix if no model_list is availalso store competitive skill scoresobs dim is now derived from class attribute
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