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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