code: function(jvmObj) {
          this.logger = Logger.getLogger("LogisticRegressionWithLBFGS_js");
          if(jvmObj == undefined) {
              jvmObj =
                  new org.apache.spark.mllib.classification.LogisticRegressionWithLBFGS();
          }
  
          JavaWrapper.call(this, jvmObj);
      }
docs: Train a classification model for Multinomial/Binary Logistic Regression using
  Limited-memory BFGS. Standard feature scaling and L2 regularization are used by default.
  NOTE: Labels used in Logistic Regression should be {0, 1, ..., k - 1}
  for k classes multi-label classification problem.
  @memberof module:eclairjs/mllib/classification
  @classdesc
  @class