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| author | Yanbo Liang <ybliang8@gmail.com> | 2016-06-06 09:36:34 +0100 |
|---|---|---|
| committer | Sean Owen <sowen@cloudera.com> | 2016-06-06 09:36:34 +0100 |
| commit | a95252823e09939b654dd425db38dadc4100bc87 (patch) | |
| tree | 3d563d80f9d6c946b882a31145a12383e0b649bf /python | |
| parent | fd8af397132fa1415a4c19d7f5cb5a41aa6ddb27 (diff) | |
| download | spark-a95252823e09939b654dd425db38dadc4100bc87.tar.gz spark-a95252823e09939b654dd425db38dadc4100bc87.tar.bz2 spark-a95252823e09939b654dd425db38dadc4100bc87.zip | |
[SPARK-15771][ML][EXAMPLES] Use 'accuracy' rather than 'precision' in many ML examples
## What changes were proposed in this pull request?
Since [SPARK-15617](https://issues.apache.org/jira/browse/SPARK-15617) deprecated ```precision``` in ```MulticlassClassificationEvaluator```, many ML examples broken.
```python
pyspark.sql.utils.IllegalArgumentException: u'MulticlassClassificationEvaluator_4c3bb1d73d8cc0cedae6 parameter metricName given invalid value precision.'
```
We should use ```accuracy``` to replace ```precision``` in these examples.
## How was this patch tested?
Offline tests.
Author: Yanbo Liang <ybliang8@gmail.com>
Closes #13519 from yanboliang/spark-15771.
Diffstat (limited to 'python')
| -rw-r--r-- | python/pyspark/ml/evaluation.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/python/pyspark/ml/evaluation.py b/python/pyspark/ml/evaluation.py index c480525e9b..cd071f1b7c 100644 --- a/python/pyspark/ml/evaluation.py +++ b/python/pyspark/ml/evaluation.py @@ -265,7 +265,7 @@ class MulticlassClassificationEvaluator(JavaEvaluator, HasLabelCol, HasPredictio """ metricName = Param(Params._dummy(), "metricName", "metric name in evaluation " - "(f1|precision|recall|weightedPrecision|weightedRecall|accuracy)", + "(f1|weightedPrecision|weightedRecall|accuracy)", typeConverter=TypeConverters.toString) @keyword_only |