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[SPARK-21526] [MLlib] Add support to ML LogisticRegression for setting initial model #18729

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[SPARK-21526] [MLlib] Add support to ML LogisticRegression for setting initial model #18729

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10 changes: 9 additions & 1 deletion mllib/src/main/scala/org/apache/spark/ml/classification/LogisticRegression.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -477,11 +477,19 @@ class LogisticRegression @Since("1.2.0") (

private var optInitialModel: Option[LogisticRegressionModel] = None

private[spark] def setInitialModel(model: LogisticRegressionModel): this.type = {
/**
* Set the initial logistic regression parameters, bypassing the default parameter initialization.
*/
def setInitialModel(model: LogisticRegressionModel): this.type = {
this.optInitialModel = Some(model)
this
}

/**
* Return the user-supplied initial logistic regression model, if supplied
*/
def getInitialModel(): Option[LogisticRegressionModel] = this.optInitialModel

override protected[spark] def train(dataset: Dataset[_]): LogisticRegressionModel = {
val handlePersistence = dataset.rdd.getStorageLevel == StorageLevel.NONE
train(dataset, handlePersistence)
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