Github user holdenk commented on a diff in the pull request:
https://github.com/apache/spark/pull/15777#discussion_r86676679
--- Diff: python/pyspark/ml/classification.py ---
@@ -309,13 +309,16 @@ def interceptVector(self):
@since("2.0.0")
def summary(self):
"""
- Gets summary (e.g. residuals, mse, r-squared ) of model on
- training set. An exception is thrown if
- `trainingSummary is None`.
+ Gets summary (e.g. accuracy/precision/recall, objective history,
total iterations) of model
+ trained on the training set. An exception is thrown if
`trainingSummary is None`.
"""
- java_blrt_summary = self._call_java("summary")
- # Note: Once multiclass is added, update this to return correct
summary
- return BinaryLogisticRegressionTrainingSummary(java_blrt_summary)
+ if self.hasSummary:
+ java_blrt_summary = self._call_java("summary")
+ # Note: Once multiclass is added, update this to return
correct summary
+ return
BinaryLogisticRegressionTrainingSummary(java_blrt_summary)
+ else:
+ raise RuntimeError("No training summary available for this %s"
%
--- End diff --
I think thats generally a good improvement, the `Py4J` errors are often
confusing to end users.
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