Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/11663#discussion_r57068522
--- Diff: python/pyspark/ml/param/__init__.py ---
@@ -275,23 +425,9 @@ def _set(self, **kwargs):
"""
for param, value in kwargs.items():
p = getattr(self, param)
- if p.expectedType is None or type(value) == p.expectedType or
value is None:
- self._paramMap[getattr(self, param)] = value
- else:
- try:
- # Try and do "safe" conversions that don't lose
information
- if p.expectedType == float:
- self._paramMap[getattr(self, param)] = float(value)
- # Python 3 unified long & int
- elif p.expectedType == int and type(value).__name__ ==
'long':
- self._paramMap[getattr(self, param)] = value
- else:
- raise Exception(
- "Provided type {0} incompatible with type {1}
for param {2}"
- .format(type(value), p.expectedType, p))
- except ValueError:
- raise Exception(("Failed to convert {0} to type {1}
for param {2}"
- .format(type(value), p.expectedType,
p)))
+ if value is not None:
+ value = p.typeConverter(value)
--- End diff --
Added a prefix to the error message to specify the param that was invalid.
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