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Created with Raphaël 2.2.020Sep1011May13Apr24Mar11Nov10651Oct30Apr252414Feb729Oct6Sep23Aug22Jul20Jun614May87614Feb26Sep17Jul611Apr911Feb522Jan21201615Sep543Aug219Jul76512Jun96130May281714Feb111016Jan1411435Dec15Oct5426Sep2315Aug13Jul31May2611Apr54Mar26Feb23Jan22212018Dec161110330Nov261928Aug16Jul151413116Jun22May212018121187624Mar131296543128Feb26241918171110765432131Jan3029282726232219181514131226Dec1511954327Nov21206429Oct2415Sep141242128Aug27222124Jun2327May262322Fix Gaussian mean naming, use structuredarrayse_step donee_step continued and tests [wip]GMM e step progressGaussian and Statistics classesGMMMachine as TransformerFinalize GMM Machine log likelihood computationFix the picklability test for GMMSum the likelihood along the gaussian means firstImplement GMM log_likelihood computation in pythonFirst draw for GMM machine and trainersMerge branch 'py-kmeans' into 'pure-python'clean-up the testsremove test_kmeans_trainer.pyImprove tests error messagesremove dask from requirements.txt to fix a possible issueAdd dask and dask-ml to requirementsUpdate the cluster module initPlot script to use python k-meansTests for python k-meansKMeansMachine as TransformerMoved kmeans to cluster folderFinalize and optimize k-means[black]k-means implementation and testsStart of port of K-Means to python[conda] remove bob-devel from test requirements [skip ci]remove traces of libsvmIncreased latest version to 2.1.8b0 [skip ci]Increased stable version to 2.1.7v2.1.7v2.1.7Add pyproject.toml for PEP 517[doc] turn nitpick off[conda recipe] Add make next to cmake dependencySphinx 3 autodoc no longer accepts autodoc_default_flags and autodoc_default_options should be usedMerge branch 'pickle' into 'master'[sphinx] Cleaning up documentationv2.1.7b0v2.1.7b0Pickle iVectorMachinePickle GMMStatsPickling KMeansMerge branch 'dask-pipelines' into 'master'