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[SPARK-11728] Replace example code in ml-ensembles.md using include_example #9716

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[SPARK-11728] Replace example code in ml-ensembles.md using include_example #9716

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0989183
add scala code.
yinxusen Nov 14, 2015
55a8358
add java version
yinxusen Nov 14, 2015
985801e
add python version
yinxusen Nov 14, 2015
0e5966d
modify markdown
yinxusen Nov 14, 2015
5b545d7
add sc stop
yinxusen Nov 14, 2015
c3e96b9
fix python version errors
yinxusen Nov 14, 2015
9ba1d4a
fix python style
yinxusen Nov 14, 2015
2ed613a
change libsvm read format
yinxusen Nov 18, 2015
4d9cffb
fix imports
yinxusen Nov 18, 2015
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fix imports
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@yinxusen
yinxusen committed Nov 18, 2015
commit 4d9cffb006d99a1ee1649eddfb470ca737ff4e16
3 changes: 0 additions & 3 deletions .../src/main/java/org/apache/spark/examples/ml/JavaGradientBoostedTreeClassifierExample.java
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import org.apache.spark.ml.classification.GBTClassifier;
import org.apache.spark.ml.evaluation.MulticlassClassificationEvaluator;
import org.apache.spark.ml.feature.*;
import org.apache.spark.mllib.regression.LabeledPoint;
import org.apache.spark.mllib.util.MLUtils;
import org.apache.spark.rdd.RDD;
import org.apache.spark.sql.DataFrame;
import org.apache.spark.sql.SQLContext;
// $example off$
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3 changes: 0 additions & 3 deletions ...s/src/main/java/org/apache/spark/examples/ml/JavaGradientBoostedTreeRegressorExample.java
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import org.apache.spark.ml.feature.VectorIndexerModel;
import org.apache.spark.ml.regression.GBTRegressionModel;
import org.apache.spark.ml.regression.GBTRegressor;
import org.apache.spark.mllib.regression.LabeledPoint;
import org.apache.spark.mllib.util.MLUtils;
import org.apache.spark.rdd.RDD;
import org.apache.spark.sql.DataFrame;
import org.apache.spark.sql.SQLContext;
// $example off$
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3 changes: 0 additions & 3 deletions examples/src/main/java/org/apache/spark/examples/ml/JavaRandomForestClassifierExample.java
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import org.apache.spark.ml.classification.RandomForestClassifier;
import org.apache.spark.ml.evaluation.MulticlassClassificationEvaluator;
import org.apache.spark.ml.feature.*;
import org.apache.spark.mllib.regression.LabeledPoint;
import org.apache.spark.mllib.util.MLUtils;
import org.apache.spark.rdd.RDD;
import org.apache.spark.sql.DataFrame;
import org.apache.spark.sql.SQLContext;
// $example off$
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3 changes: 0 additions & 3 deletions examples/src/main/java/org/apache/spark/examples/ml/JavaRandomForestRegressorExample.java
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import org.apache.spark.ml.feature.VectorIndexerModel;
import org.apache.spark.ml.regression.RandomForestRegressionModel;
import org.apache.spark.ml.regression.RandomForestRegressor;
import org.apache.spark.mllib.regression.LabeledPoint;
import org.apache.spark.mllib.util.MLUtils;
import org.apache.spark.rdd.RDD;
import org.apache.spark.sql.DataFrame;
import org.apache.spark.sql.SQLContext;
// $example off$
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1 change: 0 additions & 1 deletion examples/src/main/python/ml/gradient_boosted_tree_classifier_example.py
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from pyspark.ml.classification import GBTClassifier
from pyspark.ml.feature import StringIndexer, VectorIndexer
from pyspark.ml.evaluation import MulticlassClassificationEvaluator
from pyspark.mllib.util import MLUtils
# $example off$

if __name__ == "__main__":
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1 change: 0 additions & 1 deletion examples/src/main/python/ml/gradient_boosted_tree_regressor_example.py
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from pyspark.ml.regression import GBTRegressor
from pyspark.ml.feature import VectorIndexer
from pyspark.ml.evaluation import RegressionEvaluator
from pyspark.mllib.util import MLUtils
# $example off$

if __name__ == "__main__":
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1 change: 0 additions & 1 deletion examples/src/main/python/ml/random_forest_classifier_example.py
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from pyspark.ml.classification import RandomForestClassifier
from pyspark.ml.feature import StringIndexer, VectorIndexer
from pyspark.ml.evaluation import MulticlassClassificationEvaluator
from pyspark.mllib.util import MLUtils
# $example off$

if __name__ == "__main__":
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1 change: 0 additions & 1 deletion examples/src/main/python/ml/random_forest_regressor_example.py
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from pyspark.ml.regression import RandomForestRegressor
from pyspark.ml.feature import VectorIndexer
from pyspark.ml.evaluation import RegressionEvaluator
from pyspark.mllib.util import MLUtils
# $example off$

if __name__ == "__main__":
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1 change: 0 additions & 1 deletion ...es/src/main/scala/org/apache/spark/examples/ml/GradientBoostedTreeClassifierExample.scala
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Expand Up @@ -25,7 +25,6 @@ import org.apache.spark.ml.Pipeline
import org.apache.spark.ml.classification.{GBTClassificationModel, GBTClassifier}
import org.apache.spark.ml.evaluation.MulticlassClassificationEvaluator
import org.apache.spark.ml.feature.{IndexToString, StringIndexer, VectorIndexer}
import org.apache.spark.mllib.util.MLUtils
// $example off$

object GradientBoostedTreeClassifierExample {
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1 change: 0 additions & 1 deletion ...les/src/main/scala/org/apache/spark/examples/ml/GradientBoostedTreeRegressorExample.scala
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Expand Up @@ -25,7 +25,6 @@ import org.apache.spark.ml.Pipeline
import org.apache.spark.ml.evaluation.RegressionEvaluator
import org.apache.spark.ml.feature.VectorIndexer
import org.apache.spark.ml.regression.{GBTRegressionModel, GBTRegressor}
import org.apache.spark.mllib.util.MLUtils
// $example off$

object GradientBoostedTreeRegressorExample {
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1 change: 0 additions & 1 deletion examples/src/main/scala/org/apache/spark/examples/ml/RandomForestClassifierExample.scala
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Expand Up @@ -25,7 +25,6 @@ import org.apache.spark.ml.Pipeline
import org.apache.spark.ml.classification.{RandomForestClassificationModel, RandomForestClassifier}
import org.apache.spark.ml.evaluation.MulticlassClassificationEvaluator
import org.apache.spark.ml.feature.{IndexToString, StringIndexer, VectorIndexer}
import org.apache.spark.mllib.util.MLUtils
// $example off$

object RandomForestClassifierExample {
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1 change: 0 additions & 1 deletion examples/src/main/scala/org/apache/spark/examples/ml/RandomForestRegressorExample.scala
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Expand Up @@ -25,7 +25,6 @@ import org.apache.spark.ml.Pipeline
import org.apache.spark.ml.evaluation.RegressionEvaluator
import org.apache.spark.ml.feature.VectorIndexer
import org.apache.spark.ml.regression.{RandomForestRegressionModel, RandomForestRegressor}
import org.apache.spark.mllib.util.MLUtils
// $example off$

object RandomForestRegressorExample {
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