Github user srowen commented on a diff in the pull request: https://github.com/apache/spark/pull/15149#discussion_r79853709 --- Diff: python/pyspark/ml/param/shared.py --- @@ -469,10 +469,10 @@ def getStandardization(self): class HasThresholds(Params): """ - Mixin for param thresholds: Thresholds in multi-class classification to adjust the probability of predicting each class. Array must have length equal to the number of classes, with values >= 0. The class with largest value p/t is predicted, where p is the original probability of that class and t is the class' threshold. + Mixin for param thresholds: Thresholds in multi-class classification to adjust the probability of predicting each class. Array must have length equal to the number of classes, with values > 0. The class with largest value p/t is predicted, where p is the original probability of that class and t is the class's threshold. """ - thresholds = Param(Params._dummy(), "thresholds", "Thresholds in multi-class classification to adjust the probability of predicting each class. Array must have length equal to the number of classes, with values >= 0. The class with largest value p/t is predicted, where p is the original probability of that class and t is the class' threshold.", typeConverter=TypeConverters.toListFloat) + thresholds = Param(Params._dummy(), "thresholds","Thresholds in multi-class classification to adjust the probability of predicting each class. Array must have length equal to the number of classes, with values > 0. The class with largest value p/t is predicted, where p is the original probability of that class and t is the class's threshold.", typeConverter=TypeConverters.toListFloat) --- End diff -- Aha, I've just put 2 + 2 together about what these files named 'code gen' are about. Let me regen them.
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