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Created with Raphaël 2.2.026Apr256424Mar2321154325Feb242322181725Jan13Dec630Nov35Oct9Sep26Jul16Jun11May13Apr24Mar10Nov52Oct30Apr1417Feb29Oct21Jun7614Feb26Sep19Jul5Jun23May817Apr1359Mar22Feb211211516Jan2Nov31Oct2722Sep57Jul65Jun2130May2823820Apr629Mar20Feb20Jan16146Dec31Oct2353230Sep2922Aug214Apr23Mar718Feb829Jan23222126Nov201912Oct28Aug252116Jul643230Jun29252422191817163113May121187remove bob.db.atnt bob.io.imageapi-changeapi-changecreate the UBM at initremove feature checksGMM.transform no longer returns dask arraysMerge branch 'pipeline-rename' into 'master'mastermaster[pre-commit] autoupdateit is better to call super().__init__(**kwargs) firstFixes due to API changes in bob.bio.baseMerge branch 'fixes' into 'master'[pre-commit] update configsmake sure the algorithm runs outside dask wrappersMerge branch 'fixes' into 'master'[test_gmm] update reference data based on changes in bob.learn.emUse len(array) for more portable code.[gmm] small fixes to make sure the gmm algorithm runsRemove vstack on data, already done by the wrapperfix-pipelinefix-pipelineMerge branch 'params' into 'master'Fix the oversampling_factor not applied through.Merge branch 'gmm-params' into 'master'Fix the scoring functions and enroll parametersremove bob.learn.linearremove develop.cfgMerge branch 'gmm-params' into 'master'[refactor] isort, flake8Adapt GMM to new bob.learn.em APIAdd a parameter to set kmean's init iterationsMerge branch 'fix-hdf5' into 'master'Prevent the regeneration of references in tests Fix the score and referencesFix the step count of train and set seed correctlyRegen references files with hdf5 v3; Set the seedsMerge branch 'py-gmm' into 'master'[setup] cleaning config and entry-points[doc] Remove references to ISV JFA and IVectorMulti-scores tests, references regen on latest verUse load_model and read_biometric_referenceSet tests for the GMM BioAlgorithmUpdate gmm bioalgorithmRemove old algorithmsRemove projection in score, fix ubm not set in fit