fixed after sql datatypes PR got merged

Author: jkbradley

examples/src/main/scala/org/apache/spark/examples/ml/DeveloperApiExample.scala

@@ -18,13 +18,13 @@
 package org.apache.spark.examples.ml
 
 import org.apache.spark.{SparkConf, SparkContext}
-import org.apache.spark.SparkContext._
 import org.apache.spark.ml.classification.{Classifier, ClassifierParams, ClassificationModel}
 import org.apache.spark.ml.param.{Params, IntParam, ParamMap}
 import org.apache.spark.mllib.linalg.{BLAS, Vector, Vectors}
 import org.apache.spark.mllib.regression.LabeledPoint
 import org.apache.spark.sql.{SchemaRDD, Row, SQLContext}
 
+
 /**
  * A simple example demonstrating how to write your own learning algorithm using Estimator,
  * Transformer, and other abstractions.

mllib/src/main/scala/org/apache/spark/ml/classification/Classifier.scala

@@ -23,6 +23,8 @@ import org.apache.spark.ml.param.{Params, ParamMap, HasRawPredictionCol}
 import org.apache.spark.mllib.linalg.{Vector, VectorUDT}
 import org.apache.spark.sql._
 import org.apache.spark.sql.catalyst.analysis.Star
+import org.apache.spark.sql.types.{DataType, StructType}
+
 
 /**
  * :: DeveloperApi ::

mllib/src/main/scala/org/apache/spark/ml/classification/LogisticRegression.scala

@@ -24,8 +24,11 @@ import org.apache.spark.mllib.linalg.{BLAS, Vector, Vectors}
 import org.apache.spark.sql._
 import org.apache.spark.sql.Dsl._
 import org.apache.spark.sql.types.{DoubleType, StructField, StructType}
+import org.apache.spark.sql.catalyst.analysis.Star
+import org.apache.spark.sql.catalyst.dsl._
 import org.apache.spark.storage.StorageLevel
 
+
 /**
  * Params for logistic regression.
  */

mllib/src/main/scala/org/apache/spark/ml/classification/ProbabilisticClassifier.scala

@@ -22,6 +22,8 @@ import org.apache.spark.ml.param.{HasProbabilityCol, ParamMap, Params}
 import org.apache.spark.mllib.linalg.{Vector, VectorUDT}
 import org.apache.spark.sql._
 import org.apache.spark.sql.catalyst.analysis.Star
+import org.apache.spark.sql.types.{DataType, StructType}
+
 
 /**
  * Params for probabilistic classification.

mllib/src/main/scala/org/apache/spark/ml/evaluation/BinaryClassificationEvaluator.scala

@@ -25,6 +25,7 @@ import org.apache.spark.sql.{DataFrame, Row}
 import org.apache.spark.mllib.linalg.{Vector, VectorUDT}
 import org.apache.spark.sql.types.DoubleType
 
+
 /**
  * :: AlphaComponent ::
  *

mllib/src/main/scala/org/apache/spark/ml/impl/estimator/Predictor.scala

@@ -25,6 +25,7 @@ import org.apache.spark.mllib.regression.LabeledPoint
 import org.apache.spark.rdd.RDD
 import org.apache.spark.sql._
 import org.apache.spark.sql.catalyst.analysis.Star
+import org.apache.spark.sql.types.{DataType, DoubleType, StructType}
 
 
 /**

mllib/src/main/scala/org/apache/spark/ml/param/params.scala

@@ -24,7 +24,8 @@ import java.lang.reflect.Modifier
 
 import org.apache.spark.annotation.{AlphaComponent, DeveloperApi}
 import org.apache.spark.ml.Identifiable
-import org.apache.spark.sql._
+import org.apache.spark.sql.types.{DataType, StructField, StructType}
+
 
 /**
  * :: AlphaComponent ::

mllib/src/main/scala/org/apache/spark/ml/regression/LinearRegression.scala

@@ -24,12 +24,14 @@ import org.apache.spark.mllib.regression.LinearRegressionWithSGD
 import org.apache.spark.sql._
 import org.apache.spark.storage.StorageLevel
 
+
 /**
  * Params for linear regression.
  */
 private[regression] trait LinearRegressionParams extends RegressorParams
   with HasRegParam with HasMaxIter
 
+
 /**
  * :: AlphaComponent ::
  *