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https://issues.apache.org/jira/browse/SPARK-32455?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17165552#comment-17165552
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Apache Spark commented on SPARK-32455:
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User 'zhengruifeng' has created a pull request for this issue:
https://github.com/apache/spark/pull/29255
> LogisticRegressionModel prediction optimization
> -----------------------------------------------
>
> Key: SPARK-32455
> URL: https://issues.apache.org/jira/browse/SPARK-32455
> Project: Spark
> Issue Type: Improvement
> Components: ML
> Affects Versions: 3.1.0
> Reporter: zhengruifeng
> Priority: Minor
>
> if needed, method getThreshold and/or following logic to compute rawThreshold
> is called on each instance.
>
> {code:java}
> override def getThreshold: Double = {
> checkThresholdConsistency()
> if (isSet(thresholds)) {
> val ts = $(thresholds)
> require(ts.length == 2, "Logistic Regression getThreshold only applies
> to" +
> " binary classification, but thresholds has length != 2. thresholds: "
> + ts.mkString(","))
> 1.0 / (1.0 + ts(0) / ts(1))
> } else {
> $(threshold)
> }
> } {code}
>
> {code:java}
> val rawThreshold = if (t == 0.0) {
> Double.NegativeInfinity
> } else if (t == 1.0) {
> Double.PositiveInfinity
> } else {
> math.log(t / (1.0 - t))
> } {code}
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