dchvn commented on a change in pull request #35530:
URL: https://github.com/apache/spark/pull/35530#discussion_r825774749
##########
File path: python/pyspark/ml/feature.py
##########
@@ -392,24 +465,29 @@ class _BucketedRandomProjectionLSHParams:
.. versionadded:: 3.0.0
"""
- bucketLength = Param(
+ bucketLength: Param[float] = Param(
Params._dummy(),
"bucketLength",
"the length of each hash bucket, " + "a larger bucket lowers the false
negative rate.",
typeConverter=TypeConverters.toFloat,
)
@since("2.2.0")
- def getBucketLength(self):
+ def getBucketLength(self) -> float:
"""
Gets the value of bucketLength or its default value.
"""
- return self.getOrDefault(self.bucketLength)
+ return self.getOrDefault(self.bucketLength) # type:
ignore[attr-defined]
Review comment:
After checking with mypy: `python/pyspark/ml/feature.py:480: error:
"_BucketedRandomProjectionLSHParams" has no attribute "getOrDefault"
[attr-defined]`
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