Maciej Szymkiewicz created SPARK-38243:
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Summary: Unintended exception thrown in
pyspark.ml.LogisticRegression.getThreshold
Key: SPARK-38243
URL: https://issues.apache.org/jira/browse/SPARK-38243
Project: Spark
Issue Type: Bug
Components: ML, PySpark
Affects Versions: 3.2.0, 3.1.0, 2.4.0, 3.3.0
Reporter: Maciej Szymkiewicz
If {{LogisticRegression.getThreshold}} is called with model having multiple
thresholds we suppose to raise an exception,
{code:python}
ValueError: Logistic Regression getThreshold only applies to binary
classification ...
{code}
However, {{thresholds}} ({{{}List[float]{}}}) are incorrectly passed to
{{{}str.format{}}}, resulting in unintended {{TypeError}}
{code:python}
>>> from pyspark.ml.classification import LogisticRegression
...
... model = LogisticRegression(thresholds=[1.0, 2.0, 3.0])
>>> model.getThreshold()
Traceback (most recent call last):
Input In [7] in <module>
model.getThreshold()
File ~/Workspace/spark/python/pyspark/ml/classification.py:1003 in
getThreshold
+ ",".join(ts)
Type Error: sequence item 0: expected str instance, float found
{code}
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