ae.teletronics.nlp.entityextraction.types.sender

Class RandomForestModelInternals$

java.lang.Object

ae.teletronics.nlp.entityextraction.types.sender.RandomForestModelInternals$

public class RandomForestModelInternals$
extends Object

Field Summary

Fields

Modifier and Type	Field and Description
static RandomForestModelInternals$	MODULE$ Static reference to the singleton instance of this Scala object.

Constructor Summary

Constructors

Constructor and Description
RandomForestModelInternals$()

Method Summary

Modifier and Type	Method and Description
org.apache.spark.rdd.RDD<Object>	predict(org.apache.spark.mllib.tree.model.RandomForestModel model, org.apache.spark.rdd.RDD<org.apache.spark.mllib.linalg.Vector> data)
org.apache.spark.rdd.RDD<scala.Tuple2<Object,Object>>	test(org.apache.spark.mllib.tree.model.RandomForestModel model, org.apache.spark.rdd.RDD<org.apache.spark.mllib.regression.LabeledPoint> data)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

MODULE$

public static final RandomForestModelInternals$ MODULE$

Static reference to the singleton instance of this Scala object.

Constructor Detail

RandomForestModelInternals$

public RandomForestModelInternals$()

Method Detail

test

public org.apache.spark.rdd.RDD<scala.Tuple2<Object,Object>> test(org.apache.spark.mllib.tree.model.RandomForestModel model,
                                                                  org.apache.spark.rdd.RDD<org.apache.spark.mllib.regression.LabeledPoint> data)

predict

public org.apache.spark.rdd.RDD<Object> predict(org.apache.spark.mllib.tree.model.RandomForestModel model,
                                                org.apache.spark.rdd.RDD<org.apache.spark.mllib.linalg.Vector> data)