Nicholas Chammas created SPARK-19216: ----------------------------------------
Summary: 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