Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/16515#discussion_r95140529
--- Diff:
examples/src/main/python/mllib/binary_classification_metrics_example.py ---
@@ -18,25 +18,20 @@
Binary Classification Metrics Example.
"""
from __future__ import print_function
-from pyspark.sql import SparkSession
+from pyspark import SparkContext
# $example on$
from pyspark.mllib.classification import LogisticRegressionWithLBFGS
from pyspark.mllib.evaluation import BinaryClassificationMetrics
-from pyspark.mllib.regression import LabeledPoint
+from pyspark.mllib.util import MLUtils
# $example off$
if __name__ == "__main__":
- spark = SparkSession\
- .builder\
- .appName("BinaryClassificationMetricsExample")\
- .getOrCreate()
+ sc = SparkContext(appName="BinaryClassificationMetricsExample")
--- End diff --
Is the point that this is an .mllib example rather than .ml so should use
the older API?
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