Hello, I am trying to solve a problem using regularized logistic regression in spark. I am using the model created by LogisticRegression():
lr=LogisticRegression(regParam=10.0,maxIter=10,standardization=True) model=lr.fit(data_train_df) data_predict_with_model=model.transform(data_test_df) However I am not able to get proper results. Can anyone tell me whether we have to pass any other parameters in the model? -- View this message in context: http://apache-spark-developers-list.1001551.n3.nabble.com/Regularized-Logistic-regression-tp19432.html Sent from the Apache Spark Developers List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe e-mail: dev-unsubscr...@spark.apache.org
