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bob.learn.em
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3799f0e11fde5eeffff81acca50c5fbcfa9f49e8
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Remove GMM Trainers classes
Fix 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 passing
MAP GMM fix and tests
ML GMM test
Epsilon as default variance threshold
Variance threshold application at init for GMM
Add gaussian tests back
Added and adapted old GMM Machine tests
Added MAP GMM implementation in python
Added setters and getters for machine mean and var
Remove the steps in GMM plot example
Fix the GMM log_likelihood and add related tests.
[doc] Plot code example of GMM
GMM port progress
Reset to accept dask arrays
Fix Dask array not supporting str as index
Adding GMM tests
Adding the ML GMM m_step and machine's log_weights
GMM stats now has an add operator
Tweaks to weights calculation
Fix Gaussian mean naming, use structuredarrays
e_step done
e_step continued and tests [wip]
GMM e step progress
Gaussian and Statistics classes
GMMMachine as Transformer
Finalize GMM Machine log likelihood computation
Fix the picklability test for GMM
Sum the likelihood along the gaussian means first
Implement GMM log_likelihood computation in python
First draw for GMM machine and trainers
Merge branch 'py-kmeans' into 'pure-python'
clean-up the tests
remove test_kmeans_trainer.py
Improve tests error messages
remove dask from requirements.txt to fix a possible issue
Add dask and dask-ml to requirements
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