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diff --git a/docs/ml-guide.md b/docs/ml-guide.md index 771a07183e..b7b6376e06 100644 --- a/docs/ml-guide.md +++ b/docs/ml-guide.md @@ -148,6 +148,15 @@ Parameters belong to specific instances of `Estimator`s and `Transformer`s. For example, if we have two `LogisticRegression` instances `lr1` and `lr2`, then we can build a `ParamMap` with both `maxIter` parameters specified: `ParamMap(lr1.maxIter -> 10, lr2.maxIter -> 20)`. This is useful if there are two algorithms with the `maxIter` parameter in a `Pipeline`. +# Algorithm Guides + +There are now several algorithms in the Pipelines API which are not in the lower-level MLlib API, so we link to documentation for them here. These algorithms are mostly feature transformers, which fit naturally into the `Transformer` abstraction in Pipelines. + +**Pipelines API Algorithm Guides** + +* [Feature Extraction, Transformation, and Selection](ml-features.html) + + # Code Examples This section gives code examples illustrating the functionality discussed above. |