Github user feynmanliang commented on a diff in the pull request: https://github.com/apache/spark/pull/8197#discussion_r37255190 --- Diff: docs/ml-guide.md --- @@ -801,6 +801,153 @@ jsc.stop(); </div> +## Examples: Summaries for LogisticRegression. + +Once [`LogisticRegression`](api/scala/index.html#org.apache.spark.ml.classification.LogisticRegression) +is run on data, it is useful to extract statistics such as the +loss per iteration which will provide an intuition on overfitting and metrics to understand +how well the model has performed on training and test data. + +[`LogisticRegressionTrainingSummary`](api/scala/index.html#org.apache.spark.mllib.classification.LogisticRegressionTrainingSummary) +provides an interface to access such relevant information. i.e the `objectiveHistory` and metrics +to evaluate the performance on the training data directly with very less code to be rewritten by +the user. + +This examples illustrates the use of `LogisticRegressionTrainingSummary` on some toy data. --- End diff -- examples -> example
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