BryanCutler commented on a change in pull request #26130:
[SPARK-29464][PYTHON][ML] PySpark ML should expose Params.clear() to unset a
user supplied Param
URL: https://github.com/apache/spark/pull/26130#discussion_r336267804
##########
File path: python/pyspark/ml/tests/test_param.py
##########
@@ -248,6 +252,18 @@ def test_params(self):
"maxIter: max number of iterations (>= 0). (default:
10, current: 100)",
"seed: random seed. (default: 41, current: 43)"]))
+ def test_clear_param(self):
+ df = self.spark.createDataFrame([(Vectors.dense([1.0]),),
(Vectors.dense([2.0]),)], ["a"])
+ maScaler = MaxAbsScaler(inputCol="a", outputCol="scaled")
+ model = maScaler.fit(df)
+ self.assertTrue(model.isSet(model.outputCol))
+ self.assertEqual(model.getOutputCol(), "scaled")
+ model.clear(model.outputCol)
+ self.assertFalse(model.isSet(model.outputCol))
+ self.assertEqual(model.getOutputCol()[:12], 'MaxAbsScaler')
Review comment:
Nvm, I guess there isn't a way to get the default value directly. This is
fine then.
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