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bob.learn.em
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6ffaff25d967ac8eea98beafe231d9748c9f69b4
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Added GMM dask tests, renamed tests
Remove divide by zero for later ignored value.
test kmeans on dask arrays
Adapt GMMMachine to new KMeansMachine.
Move KMeansTrainer into KMeansMachine
persist the state of GMM between each training iteration
Merge branch 'pure-python' into py-gmm
Merge branch 'remove-cpp' into 'pure-python'
Fix unsupported numpy array as `out` parameter.
Allow skipping Reynolds adaptation for MAP GMM
Use `resource_filename` instead of `datafile`
fix GMM_ML test and legacy files loading
Add the test_em tests to test_gmm
Removing Gaussians class tests
[doc] skip doctests of removed C++ modules
[doc] Comment unreferenced references
[doc] Remove the plots using removed C++ modules.
Remove GMM and Gaussian tests
[conda] Added required pip install command and dep
[black][isort] Refactor
Remove Gaussians class; use means, variances attr.
Remove C++ related tests
Remove C++ code and build dependencies.
Always keep state in numpy arrays instead of dask arrays
Add back __init__.py in test folder.
[requirements] Add h5py
Revert to nose tests as pytest fails on ci.
Using float instead of numpy's float
Remove __init__.py from test folder.
[conda] copy meta.yaml from bob.devtools template.
[conda] Fix meta.yaml
Fix legacy tests
Precomputing g_norms, tests fixes, h5py load/save.
[Requirements] Add dask to pip requirements
Remove divide by zero warning
Increased latest version to 2.1.9b0 [skip ci]
Increased stable version to 2.1.8
v2.1.8
v2.1.8
GMM gaussians init fixes, save and load fixes
Machine, Stats, and Gaussians save and load fixes.
linear_scoring moved in its own file
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