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[MRG + 1] Add how lda's LDA differs from sckit-learn's LDA #5553

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Dec 27, 2016
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[MRG + 1] Add how lda's LDA differs from sckit-learn's LDA #5553

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10 changes: 8 additions & 2 deletions doc/related_projects.rst
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Expand Up @@ -84,8 +84,14 @@ and tasks.
ensembles) trained by sklearn. Useful for latency-sensitive production
environments.

- `lda <https://github.com/ariddell/lda/>`_: Fast implementation of Latent
Dirichlet Allocation in Cython.
- `lda <https://github.com/ariddell/lda/>`_: Fast implementation of latent
Dirichlet allocation in Cython which uses `Gibbs sampling
<https://en.wikipedia.org/wiki/Gibbs_sampling>`_ to sample from the true
posterior distribution. (scikit-learn's
:class:`sklearn.decomposition.LatentDirichletAllocation` implementation uses
`variational inference
<https://en.wikipedia.org/wiki/Variational_Bayesian_methods>`_ to sample from
a tractable approximation of a topic model's posterior distribution.)

- `Sparse Filtering <https://github.com/jmetzen/sparse-filtering>`_
Unsupervised feature learning based on sparse-filtering
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