Github user jkbradley commented on a diff in the pull request: https://github.com/apache/spark/pull/10179#discussion_r47384208 --- Diff: docs/ml-guide.md --- @@ -455,6 +465,14 @@ val pipeline = new Pipeline() // Fit the pipeline to training documents. val model = pipeline.fit(training) +// now we can optionally save it to disk +model.save("/tmp/spark-logistic-regression-model") --- End diff -- One more thought: It'd be cool to also demonstrate saving and loading "pipeline" (the unfit pipeline) above.
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