Re: Regarding Logistic Regression changes in Spark 2.2.0

L-BFGS is the default optimization method since the initial ML package implementation. The OWLQN variant is used only when L1 regularization is specified (via the elasticNetParam). 2.2 adds the box constraints (optimized using the LBFGS-B variant). So no, no upgrade is required to use L-BFGS - if

Regarding Logistic Regression changes in Spark 2.2.0

Hi I was reading the API of Spark 2.2.0 and noticed a change compared to 2.1.0 Compared to https://spark.apache.org/docs/2.1.0/api/scala/index.html#org.apache.spark.ml.classification.LogisticRegression the 2.2.0 docs at https://spark.apache.org/docs/2.2.0/api/scala/index.html#org.apache.spark.ml.