Xin Ren created SPARK-17026:
-------------------------------
Summary: warning msg in MulticlassMetricsSuite
Key: SPARK-17026
URL: https://issues.apache.org/jira/browse/SPARK-17026
Project: Spark
Issue Type: Improvement
Reporter: Xin Ren
Priority: Trivial
Got warning when building:
{code}
[warn]
/home/jenkins/workspace/SparkPullRequestBuilder/mllib/src/test/scala/org/apache/spark/mllib/evaluation/MulticlassMetricsSuite.scala:74:
value precision in class MulticlassMetrics is deprecated: Use accuracy.
[warn] assert(math.abs(metrics.accuracy - metrics.precision) < delta)
[warn] ^
[warn]
/home/jenkins/workspace/SparkPullRequestBuilder/mllib/src/test/scala/org/apache/spark/mllib/evaluation/MulticlassMetricsSuite.scala:75:
value recall in class MulticlassMetrics is deprecated: Use accuracy.
[warn] assert(math.abs(metrics.accuracy - metrics.recall) < delta)
[warn] ^
[warn]
/home/jenkins/workspace/SparkPullRequestBuilder/mllib/src/test/scala/org/apache/spark/mllib/evaluation/MulticlassMetricsSuite.scala:76:
value fMeasure in class MulticlassMetrics is deprecated: Use accuracy.
[warn] assert(math.abs(metrics.accuracy - metrics.fMeasure) < delta)
[warn] ^
{code}
And `precision` and `recall` and `fMeasure` are all referencing to `accuracy`:
{code}
assert(math.abs(metrics.accuracy - metrics.precision) < delta)
assert(math.abs(metrics.accuracy - metrics.recall) < delta)
assert(math.abs(metrics.accuracy - metrics.fMeasure) < delta)
{code}
{code}
/**
* Returns precision
*/
@Since("1.1.0")
@deprecated("Use accuracy.", "2.0.0")
lazy val precision: Double = accuracy
/**
* Returns recall
* (equals to precision for multiclass classifier
* because sum of all false positives is equal to sum
* of all false negatives)
*/
@Since("1.1.0")
@deprecated("Use accuracy.", "2.0.0")
lazy val recall: Double = accuracy
/**
* Returns f-measure
* (equals to precision and recall because precision equals recall)
*/
@Since("1.1.0")
@deprecated("Use accuracy.", "2.0.0")
lazy val fMeasure: Double = accuracy
{code}
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