Github user BryanCutler commented on a diff in the pull request:
https://github.com/apache/spark/pull/17922#discussion_r126765747
--- Diff: python/pyspark/ml/classification.py ---
@@ -246,18 +246,55 @@ class LogisticRegression(JavaEstimator,
HasFeaturesCol, HasLabelCol, HasPredicti
"be used in the model. Supported options: auto,
binomial, multinomial",
typeConverter=TypeConverters.toString)
+ lowerBoundsOnCoefficients = Param(Params._dummy(),
"lowerBoundsOnCoefficients",
+ "The lower bounds on coefficients if
fitting under bound "
+ "constrained optimization. The bound
matrix must be "
+ "compatible with the shape "
+ "(1, number of features) for
binomial regression, or "
+ "(number of classes, number of
features) "
+ "for multinomial regression.",
+
typeConverter=TypeConverters.toMatrix)
+
+ upperBoundsOnCoefficients = Param(Params._dummy(),
"upperBoundsOnCoefficients",
+ "The upper bounds on coefficients if
fitting under bound "
+ "constrained optimization. The bound
matrix must be "
+ "compatible with the shape "
+ "(1, number of features) for
binomial regression, or "
+ "(number of classes, number of
features) "
+ "for multinomial regression.",
+
typeConverter=TypeConverters.toMatrix)
--- End diff --
I think you can condense this and the above text blocks some more
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at infrastruct...@apache.org or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org
For additional commands, e-mail: reviews-h...@spark.apache.org
