Re: Multilabel classification using logistic regression

2015-05-27 Thread Peter Garbers
ache()) // should use groupBy >> val models = groupedRDDs.map(rdd => new >> LogisticRegressionWithLBFGS().setNumClasses(101).run(rdd)) >> val results = models.map(m => m.predict(Vectors.dense(query.features))) >> >> Thanks >> >> Peter >> >> &

Re: Multilabel classification using logistic regression

2015-05-27 Thread Joseph Bradley
essionWithLBFGS().setNumClasses(101).run(rdd)) > val results = models.map(m => m.predict(Vectors.dense(query.features))) > > Thanks > > Peter > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/Multilabel-classification-u

Multilabel classification using logistic regression

2015-05-27 Thread peterg
use groupBy val models = groupedRDDs.map(rdd => new LogisticRegressionWithLBFGS().setNumClasses(101).run(rdd)) val results = models.map(m => m.predict(Vectors.dense(query.features))) Thanks Peter -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Multilabel-classificati