Hi try next code:
|val labeledPoints: RDD[LabeledPoint] = features.zip(labels).map{ case
Row(feture1, feture2,..., label) => LabeledPoint(label,
Vectors.dense(feature1, feature2, ...)) } |
Thanks,
Peter Rudenko
On 2015-04-02 17:17, drarse wrote:
Hello!,
I have a questions since days ago. I am working with DataFrame and with
Spark SQL I imported a jsonFile:
/val df = sqlContext.jsonFile("file.json")/
In this json I have the label and de features. I selected it:
/
val features = df.select ("feature1","feature2","feature3",...);
val labels = df.select ("cassification")/
But, now, I don't know create a LabeledPoint for RandomForest. I tried some
solutions without success. Can you help me?
Thanks for all!
--
View this message in context:
http://apache-spark-user-list.1001560.n3.nabble.com/From-DataFrame-to-LabeledPoint-tp22354.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