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[SPARK-56607][PYTHON][FOLLOWUP] Use pyspark.sql.DataFrame to support connect-only #55630

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[SPARK-56607][PYTHON][FOLLOWUP] Use pyspark.sql.DataFrame to support connect-only #55630

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8 changes: 6 additions & 2 deletions python/pyspark/testing/mlutils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -25,8 +25,7 @@
from pyspark.ml.classification import Classifier, ClassificationModel
from pyspark.ml.util import DefaultParamsReadable, DefaultParamsWritable
from pyspark.ml.wrapper import _java2py
from pyspark.sql import SparkSession
from pyspark.sql.classic.dataframe import DataFrame
from pyspark.sql import DataFrame, SparkSession
from pyspark.sql.types import DoubleType
from pyspark.testing.utils import ReusedPySparkTestCase as PySparkTestCase

Expand Down Expand Up @@ -100,6 +99,11 @@ def tearDownClass(cls):


class MockDataset(DataFrame):
def __new__(cls, *args, **kwargs):
# DataFrame by default creates classic DataFrame, we need this to
# overwrite the default behavior.
return object.__new__(cls)

def __init__(self):
self.index = 0

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