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Created with Raphaël 2.2.017Nov15322Oct2119524Sep232221201011May13Apr24Mar11Nov10651Oct30Apr252414Feb729Oct6Sep23Aug22Jul20Jun614May87614Feb26Sep17Jul611Apr911Feb522Jan21201615Sep543Aug219Jul76512Jun96130May281714Feb111016Jan1411435Dec15Oct5426Sep2315Aug13Jul31May2611Apr54Mar26Feb23Jan22212018Dec161110330Nov261928Aug16Jul151413116Jun22May212018121187624Mar131296543128Feb26241918171110765432131Jan3029282726232219181514131226Dec1511954327Nov21206429Oct2415Sep141242128Aug27222124Jun2327May262322Precomputing g_norms, tests fixes, h5py load/save.[Requirements] Add dask to pip requirementsRemove divide by zero warningIncreased latest version to 2.1.9b0 [skip ci]Increased stable version to 2.1.8v2.1.8v2.1.8GMM gaussians init fixes, save and load fixesMachine, Stats, and Gaussians save and load fixes.linear_scoring moved in its own filelinear_scoring accepts different parameters; doc.Save and load in GMMMachine, linear_scoring as fct[conda] use pip to install the package [skip ci]Added linear_scoring; Added GMM Transformer tests.Start of `linear scoring` impl in `GMMMachine`.Remove GMM Trainers classesFix a typo in hdf5, versioning of hdf5 file.Rename Statistics to GMMStats, tests for GMMStats.Remove Multi- and Gaussian, use Gaussians instead.Fixed test_gaussian not passingMAP GMM fix and testsML GMM testEpsilon as default variance thresholdVariance threshold application at init for GMMAdd gaussian tests backAdded and adapted old GMM Machine testsAdded MAP GMM implementation in pythonAdded setters and getters for machine mean and varRemove the steps in GMM plot exampleFix the GMM log_likelihood and add related tests.[doc] Plot code example of GMMGMM port progressReset to accept dask arraysFix Dask array not supporting str as indexAdding GMM testsAdding the ML GMM m_step and machine's log_weightsGMM stats now has an add operatorTweaks to weights calculationFix Gaussian mean naming, use structuredarrayse_step donee_step continued and tests [wip]GMM e step progress