Github user MLnick commented on a diff in the pull request:
https://github.com/apache/spark/pull/20332#discussion_r162873193
--- Diff:
examples/src/main/python/ml/multiclass_logistic_regression_with_elastic_net.py
---
@@ -43,6 +43,43 @@
# Print the coefficients and intercept for multinomial logistic
regression
print("Coefficients: \n" + str(lrModel.coefficientMatrix))
print("Intercept: " + str(lrModel.interceptVector))
+
+ trainingSummary = lrModel.summary
+
+ # Obtain the objective per iteration
+ objectiveHistory = trainingSummary.objectiveHistory
+ print("objectiveHistory:")
+ for objective in objectiveHistory:
+ print(objective)
+
+ print("False positive rate by label:")
--- End diff --
Do we want to have a consistent comment as per the Java version above?: `//
for multiclass, we can inspect metrics on a per-label basis`
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