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-rw-r--r--examples/src/main/python/ml/decision_tree_regression_example.py5
1 files changed, 2 insertions, 3 deletions
diff --git a/examples/src/main/python/ml/decision_tree_regression_example.py b/examples/src/main/python/ml/decision_tree_regression_example.py
index 3857aed538..439e398947 100644
--- a/examples/src/main/python/ml/decision_tree_regression_example.py
+++ b/examples/src/main/python/ml/decision_tree_regression_example.py
@@ -28,7 +28,6 @@ from pyspark.ml import Pipeline
from pyspark.ml.regression import DecisionTreeRegressor
from pyspark.ml.feature import VectorIndexer
from pyspark.ml.evaluation import RegressionEvaluator
-from pyspark.mllib.util import MLUtils
# $example off$
if __name__ == "__main__":
@@ -36,8 +35,8 @@ if __name__ == "__main__":
sqlContext = SQLContext(sc)
# $example on$
- # Load and parse the data file, converting it to a DataFrame.
- data = MLUtils.loadLibSVMFile(sc, "data/mllib/sample_libsvm_data.txt").toDF()
+ # Load the data stored in LIBSVM format as a DataFrame.
+ data = sqlContext.read.format("libsvm").load("data/mllib/sample_libsvm_data.txt")
# Automatically identify categorical features, and index them.
# We specify maxCategories so features with > 4 distinct values are treated as continuous.