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-rw-r--r--examples/src/main/python/ml/cross_validator.py5
1 files changed, 4 insertions, 1 deletions
diff --git a/examples/src/main/python/ml/cross_validator.py b/examples/src/main/python/ml/cross_validator.py
index f0ca97c724..5f0ef20218 100644
--- a/examples/src/main/python/ml/cross_validator.py
+++ b/examples/src/main/python/ml/cross_validator.py
@@ -18,12 +18,14 @@
from __future__ import print_function
from pyspark import SparkContext
+# $example on$
from pyspark.ml import Pipeline
from pyspark.ml.classification import LogisticRegression
from pyspark.ml.evaluation import BinaryClassificationEvaluator
from pyspark.ml.feature import HashingTF, Tokenizer
from pyspark.ml.tuning import CrossValidator, ParamGridBuilder
from pyspark.sql import Row, SQLContext
+# $example off$
"""
A simple example demonstrating model selection using CrossValidator.
@@ -36,7 +38,7 @@ Run with:
if __name__ == "__main__":
sc = SparkContext(appName="CrossValidatorExample")
sqlContext = SQLContext(sc)
-
+ # $example on$
# Prepare training documents, which are labeled.
LabeledDocument = Row("id", "text", "label")
training = sc.parallelize([(0, "a b c d e spark", 1.0),
@@ -92,5 +94,6 @@ if __name__ == "__main__":
selected = prediction.select("id", "text", "probability", "prediction")
for row in selected.collect():
print(row)
+ # $example off$
sc.stop()