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[SPARK-10188] [Pyspark] Pyspark CrossValidator with RMSE selects incorrect model #8399
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d00357e
Added test for cross validation
noel-smith 6cd4ed1
Added/fixed tests for cross validation
noel-smith 63b3835
Removed print statements
noel-smith 7794cf7
Added checks for isLargerBetter()
noel-smith bada453
Added fixes from PR notes. Fixed style test failures.
noel-smith 84c8a40
Style fix - missed a line of whitespace
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Original file line number | Diff line number | Diff line change |
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@@ -66,6 +66,9 @@ def evaluate(self, dataset, params=None): | |
else: | ||
raise ValueError("Params must be a param map but got %s." % type(params)) | ||
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def isLargerBetter(self): | ||
return True | ||
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@inherit_doc | ||
class JavaEvaluator(Evaluator, JavaWrapper): | ||
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@@ -85,6 +88,9 @@ def _evaluate(self, dataset): | |
self._transfer_params_to_java() | ||
return self._java_obj.evaluate(dataset._jdf) | ||
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def isLargerBetter(self): | ||
return self._java_obj.isLargerBetter() | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. This works for current use since it's called after evaluate has been called, but it could fail if a user calls it since the params may not have been transferred to java yet. Call |
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@inherit_doc | ||
class BinaryClassificationEvaluator(JavaEvaluator, HasLabelCol, HasRawPredictionCol): | ||
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Can you please copy the doc from Scala here? (no need to copy to child classes since the "inherit_doc" tag will handle that)