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Created with Raphaël 2.2.04Mar12Jun17Aug31Jul316Jun30May28191615Jun8Mar432125Feb5Jan15Dec24Nov2320Sep725Aug29Jul28May272612331Mar251826Feb2419914Jan14Dec26Nov25242320191614121076529Oct142Sep28Aug272117141330Jul2823201715726Jun1612105227May195Delete __pycache__mastermasterTransformer toolkitWIP for torch DeepSFwip_fischerwip_fischer[keras]: config added to WhereEquals layertxhxtxhxadd config methods to custom LBNLayerroc curve for all classesminortypo fix[plotting] change plot style[keras] changes structure of feature_importance_permblack formattingfix typos in docstrings[data] init TensorMetadata classunnecessary frozensets removedgitignore addedlskeys method addedminorcomments for understandingtypo[keras] init ToVal layerMerge masterKFeed: make weight optionalSKDict: make pop/get/__delitem__ work fully[recipes] common: fixes blackout (higher order slice is an iterable itself so we can not make this optional)[dssutils] train_valid_test split: fix split==-1[dssutils] now also supports split == -1[data] DSS: extend delitem to support single keys[data] DSSDisk: flush array to disk[keras] PlotMulticlass: now using correct batch_size[data] DSS.map: now supports multiple usages of progress bar[data] DSS.map: fixes bug[data] DSS.map: more appropriate default of tqdm kwargs[data] DSS.map: only one kwargs for all tqdm kwargs[data] DSS: map now supports tqdm status bar[data] DSSDisk: fixes missing input[tools] plotting: going back to defaults in plt functions[keras] feature_importance_perm now works with proper copies[keras] PlotMulticlass: batch_size for importance evaluations[keras] layer: init Blackout layer - can be used to zero certain parts of tensors[data] init DSSDisk