Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/3836#issuecomment-68383731
@srowen The Scala compiler doesn't generate the static `train` method under
`DecisionTree` if there is a `train` method under `class DecisionTree`,
regardless of the method signature. That's why we deprecated this method. From
javap:
~~~
public class org.apache.spark.mllib.tree.DecisionTree implements
scala.Serializable,org.apache.spark.Logging {
public static scala.Option<org.apache.spark.mllib.tree.impl.NodeIdCache>
findBestSplits$default$10();
public static org.apache.spark.mllib.tree.impl.TimeTracker
findBestSplits$default$9();
public static org.apache.spark.mllib.tree.model.DecisionTreeModel
trainRegressor(org.apache.spark.api.java.JavaRDD<org.apache.spark.mllib.regression.LabeledPoint>,
java.util.Map<java.lang.Integer, java.lang.Integer>, java.lang.String, int,
int);
public static org.apache.spark.mllib.tree.model.DecisionTreeModel
trainRegressor(org.apache.spark.rdd.RDD<org.apache.spark.mllib.regression.LabeledPoint>,
scala.collection.immutable.Map<java.lang.Object, java.lang.Object>,
java.lang.String, int, int);
public static org.apache.spark.mllib.tree.model.DecisionTreeModel
trainClassifier(org.apache.spark.api.java.JavaRDD<org.apache.spark.mllib.regression.LabeledPoint>,
int, java.util.Map<java.lang.Integer, java.lang.Integer>, java.lang.String,
int, int);
public static org.apache.spark.mllib.tree.model.DecisionTreeModel
trainClassifier(org.apache.spark.rdd.RDD<org.apache.spark.mllib.regression.LabeledPoint>,
int, scala.collection.immutable.Map<java.lang.Object, java.lang.Object>,
java.lang.String, int, int);
public org.slf4j.Logger org$apache$spark$Logging$$log_();
public void org$apache$spark$Logging$$log__$eq(org.slf4j.Logger);
public java.lang.String logName();
public org.slf4j.Logger log();
public void logInfo(scala.Function0<java.lang.String>);
public void logDebug(scala.Function0<java.lang.String>);
public void logTrace(scala.Function0<java.lang.String>);
public void logWarning(scala.Function0<java.lang.String>);
public void logError(scala.Function0<java.lang.String>);
public void logInfo(scala.Function0<java.lang.String>,
java.lang.Throwable);
public void logDebug(scala.Function0<java.lang.String>,
java.lang.Throwable);
public void logTrace(scala.Function0<java.lang.String>,
java.lang.Throwable);
public void logWarning(scala.Function0<java.lang.String>,
java.lang.Throwable);
public void logError(scala.Function0<java.lang.String>,
java.lang.Throwable);
public boolean isTraceEnabled();
public org.apache.spark.mllib.tree.model.DecisionTreeModel
run(org.apache.spark.rdd.RDD<org.apache.spark.mllib.regression.LabeledPoint>);
public org.apache.spark.mllib.tree.model.DecisionTreeModel
train(org.apache.spark.rdd.RDD<org.apache.spark.mllib.regression.LabeledPoint>);
public
org.apache.spark.mllib.tree.DecisionTree(org.apache.spark.mllib.tree.configuration.Strategy);
}
~~~
One way to call those static method is quite ugly:
~~~
DecisionTree$.MODULE$.train(...)
~~~
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