yu jiang created SPARK-4736: ------------------------------- Summary: functions returning the category with weights Key: SPARK-4736 URL: https://issues.apache.org/jira/browse/SPARK-4736 Project: Spark Issue Type: Improvement Components: MLlib Reporter: yu jiang
In this version, we add two functions: 1) predictByVotingWithWeight(features: Vector) and 2) predictWithWeight(features: Vector). And we also modify the function: predictByVoting(features: Vector). There are at least two reasons why we make such improvement: 1) In our practice, we want to find the top N samples from one category. However in 1.3.0 version, the function of predict can only give the predicted category but without weights. 2) What's more, in our practice, the numbers of positive and negative samples are very unbalance. There are much less positive samples than negative samples. According to the results of votes, there are very few samples predicted as positive sample. If the weights are also given, users can make a proper threshold to modify the results so that the performance can be improved. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org