Re: [Spark ML] Using GBTClassifier in OneVsRest
Well as for now, the GBTClassifier is considered as a Predictor and not a Classifier. That's why you get that error. Unless you'd want to re-write your own GBTClassifier that extends Classifier there is no solution for now to use the OneVsAll Estimator on it. Nevertheless, there is a associated JIRA https://issues.apache.org/jira/browse/SPARK-16739 to the topic. You can follow the issue there. -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Spark-ML-Using-GBTClassifier-in-OneVsRest-tp27933p27961.html Sent from the Apache Spark User List mailing list archive at Nabble.com. - To unsubscribe e-mail: user-unsubscr...@spark.apache.org
Re: Making more features in Logistic Regression
Your question isn't clear. Would you care elaborate ? -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Making-more-features-in-Logistic-Regression-tp27915p27960.html Sent from the Apache Spark User List mailing list archive at Nabble.com. - To unsubscribe e-mail: user-unsubscr...@spark.apache.org
Re: Proper saving/loading of MatrixFactorizationModel
I know that this haven't been accepted yet but any news on it ? How can we cache the product and user factor ? -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Proper-saving-loading-of-MatrixFactorizationModel-tp23952p27959.html Sent from the Apache Spark User List mailing list archive at Nabble.com. - To unsubscribe e-mail: user-unsubscr...@spark.apache.org