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Diffstat (limited to 'docs/mllib-clustering.md')
| -rw-r--r-- | docs/mllib-clustering.md | 4 |
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diff --git a/docs/mllib-clustering.md b/docs/mllib-clustering.md index 3fb35d3c50..c2711cf82d 100644 --- a/docs/mllib-clustering.md +++ b/docs/mllib-clustering.md @@ -507,6 +507,10 @@ must also be $> 1.0$. Providing `Vector(-1)` results in default behavior $> 1.0$. Providing `-1` results in defaulting to a value of $0.1 + 1$. * `maxIterations`: The maximum number of EM iterations. +*Note*: It is important to do enough iterations. In early iterations, EM often has useless topics, +but those topics improve dramatically after more iterations. Using at least 20 and possibly +50-100 iterations is often reasonable, depending on your dataset. + `EMLDAOptimizer` produces a `DistributedLDAModel`, which stores not only the inferred topics but also the full training corpus and topic distributions for each document in the training corpus. A |