hi, I am unfortunately not very fit in the whole MLlib stuff, so I would appreciate a little help:
Which multi-class classification algorithm i should use if i want to train texts (100-1000 words each) into categories. The number of categories is between 100-500 and the number of training documents which i have transform to tf-idf vectors is max ~ 300.000 it looks like the most algorithms are running into OOM exception or "array larger than MaxInt" exceptions with a large number of classes/categories cause there are "collect" steps in it? thanks a lot -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/which-mllib-algorithm-for-large-multi-class-classification-tp23439.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
