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Nicholas Chammas commented on SPARK-19216: ------------------------------------------ cc [~josephkb] - Is this a valid gap in Python's API, or I did just misunderstand things? > LogisticRegressionModel is missing getThreshold() > ------------------------------------------------- > > Key: SPARK-19216 > URL: https://issues.apache.org/jira/browse/SPARK-19216 > Project: Spark > Issue Type: Improvement > Components: ML, PySpark > Affects Versions: 2.1.0 > Reporter: Nicholas Chammas > Priority: Minor > > Say I just loaded a logistic regression model from storage. How do I check > that model's threshold in PySpark? From what I can see, the only way to do > that is to dip into the Java object: > {code} > model._java_obj.getThreshold()) > {code} > It seems like PySpark's version of {{LogisticRegressionModel}} should include > this method. > Another issue is that it's not clear whether the threshold is for the raw > prediction or the probability. Maybe it's obvious to machine learning > practitioners, but I couldn't tell from reading the docs or skimming the code > what the threshold was for exactly. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org