[SPARK-10691] Make Logistic, Linear Regression Model evaluate() method public

• Type: Improvement
• Status: Resolved
• Priority: Major
• Resolution: Fixed
• Fix Version/s: 2.0.0
• Component/s: ML
• Target Version/s: 2.0.0
• Assignee: Joseph K. Bradley
• Reporter: Hao Ren
• Created: 18/Sep/15 09:17
• Updated: 28/Mar/16 02:04
• Resolved: 28/Mar/16 02:04

Description

The following method in LogisticRegressionModel is marked as private, which prevents users from creating a summary on any given data set. Check here.

// TODO: decide on a good name before exposing to public API
private[classification] def evaluate(dataset: DataFrame)
: LogisticRegressionSummary = {
    new BinaryLogisticRegressionSummary(
        this.transform(dataset), 
        $(probabilityCol), 
        $(labelCol))
}

This method is definitely necessary to test model performance.
By the way, the name evaluate is already pretty good for me.

mengxr Could you check this ? Thx

Issue Links

• links to: [Github] Pull Request #11928 (jkbradley)