Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/10179#discussion_r47384206
--- Diff: docs/ml-guide.md ---
@@ -192,6 +192,16 @@ 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`.
+## Saving and Loading Pipelines
+
+Often times it is worth it to save a model or a pipeline to disk for later
use. In Spark 1.6, a model import/export functionality was added to the
Pipeline API. Most basic transformers are supported as well as some of the more
basic ML models such as:
+
+* K-Means
+* Naive Bayes
+* ALS
+* Linear Regression
+* Logistic Regression
+
--- End diff --
Could you comment here telling users to refer to the algorithms' API
documentation to see if the algorithm support save/load?
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