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Created with Raphaël 2.2.05May432130Apr26242031Mar3029272625242321201918171610227Feb262422171073Jan13Nov29Oct1612Sep7Aug21Jun7614Feb9Oct26Sep31Aug2719Jul13121097328Jun2726222120765430May232218171615129743130Apr26252423201918161312111096526Mar20161211109127Feb2522212015119524Jan16103222Dec5428Nov27171413109876326Oct25242320191611109528Sep26228730Aug292825242330Jul2827262120191817147623Jun13127652129May282422181512119828Apr2445327Feb2523209876126Jan2318171615141323Dec2130Nov25242331Oct2423222120111054Changed again the documentation of functionsChanged the default parameter for wrap_bob_legacyReplaced collections.callable by objectApply suggestion to bob/bio/base/transformers/preprocessor.pyPut back some keyword parametersReplaced callable by instance in the transformersAdded kwargs in wrap_bob_legacyReplaced callable by instance in the transformersImplemented extra wrappers for bob legacy and ported some default options from cd ..Fixed CSVScoreWriter testsFixed bug with the CSV headerMemory optimizing CSVWriter[black]Using single-threaded dask schedulerSome cosmetic changes in the legacy wrap functionHandle legacy bob.bio.base Algorithms as algorithmsUsed the ScoreWriter to do the score concatenation[sphinx] Small patches to build the docs. This docs needs to be done from scratchRemoved examplesPatched with new VanillaBiometricsPipelineFixed extension of score writerImplemeted [dask] wrapperCleaning upCreated CSV Score writterDasking estimatorsReorganing the structure of vanilla_biometricsDetached the mechanism of writing scores from the BioAlgCheckpointing. This will allow us to write different score writes for different analyserUpdated badges section [ci skip]Updated badges section [ci skip]Fixes to wrapper APIwrapper-api2wrapper-api2Updated _more_tags methodsRemoved the sketch of ZTNormCreated a set of tranformers/wrappers for bob.bio algorithmsFixed some serialization issuesMerge branch 'new-dbs' into 'master'[legacy] Allowed the scoring of statefull bob.bio.base.algorithm.AlgorithmWrapped the vanilla_biometric in a class called VanillaBiometrics. In this way the user has to dask_it this only once and not twice as before, making the user code cleanerCreated optimization that allows you to do fast scoring if such option is available in the BioAlgorithm AND the database allows you to do it. I still think that the Vanilla Pipeline should be in a class. This will come in a next MRCheck if there are samples available for the function train_background_modelMake annotations not mandatory in the legacy Preprocessor