e10516ae63
### What changes were proposed in this pull request?
Return LogisticRegressionSummary for multiclass logistic regression evaluate in PySpark
### Why are the changes needed?
Currently we have
```
since("2.0.0")
def evaluate(self, dataset):
if not isinstance(dataset, DataFrame):
raise ValueError("dataset must be a DataFrame but got %s." % type(dataset))
java_blr_summary = self._call_java("evaluate", dataset)
return BinaryLogisticRegressionSummary(java_blr_summary)
```
we should return LogisticRegressionSummary for multiclass logistic regression
### Does this PR introduce _any_ user-facing change?
Yes
return LogisticRegressionSummary instead of BinaryLogisticRegressionSummary for multiclass logistic regression in Python
### How was this patch tested?
unit test
Closes #28503 from huaxingao/lr_summary.
Authored-by: Huaxin Gao <huaxing@us.ibm.com>
Signed-off-by: Sean Owen <srowen@gmail.com>
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|---|---|---|
| .. | ||
| __init__.py | ||
| test_algorithms.py | ||
| test_base.py | ||
| test_evaluation.py | ||
| test_feature.py | ||
| test_image.py | ||
| test_linalg.py | ||
| test_param.py | ||
| test_persistence.py | ||
| test_pipeline.py | ||
| test_stat.py | ||
| test_training_summary.py | ||
| test_tuning.py | ||
| test_wrapper.py | ||