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| author | Ruifeng Zheng <ruifengz@foxmail.com> | 2016-06-04 13:56:04 +0100 |
|---|---|---|
| committer | Sean Owen <sowen@cloudera.com> | 2016-06-04 13:56:04 +0100 |
| commit | 2099e05f93067937cdf6cedcf493afd66e212abe (patch) | |
| tree | df00189031ecedfea74cd07e60c6542e4cc894dc /python | |
| parent | 2ca563cc45d1ac1c19b8e84c5a87a950c712ab87 (diff) | |
| download | spark-2099e05f93067937cdf6cedcf493afd66e212abe.tar.gz spark-2099e05f93067937cdf6cedcf493afd66e212abe.tar.bz2 spark-2099e05f93067937cdf6cedcf493afd66e212abe.zip | |
[SPARK-15617][ML][DOC] Clarify that fMeasure in MulticlassMetrics is "micro" f1_score
## What changes were proposed in this pull request?
1, del precision,recall in `ml.MulticlassClassificationEvaluator`
2, update user guide for `mlllib.weightedFMeasure`
## How was this patch tested?
local build
Author: Ruifeng Zheng <ruifengz@foxmail.com>
Closes #13390 from zhengruifeng/clarify_f1.
Diffstat (limited to 'python')
| -rw-r--r-- | python/pyspark/ml/evaluation.py | 4 |
1 files changed, 1 insertions, 3 deletions
diff --git a/python/pyspark/ml/evaluation.py b/python/pyspark/ml/evaluation.py index b8b2b37af5..c480525e9b 100644 --- a/python/pyspark/ml/evaluation.py +++ b/python/pyspark/ml/evaluation.py @@ -258,9 +258,7 @@ class MulticlassClassificationEvaluator(JavaEvaluator, HasLabelCol, HasPredictio >>> evaluator = MulticlassClassificationEvaluator(predictionCol="prediction") >>> evaluator.evaluate(dataset) 0.66... - >>> evaluator.evaluate(dataset, {evaluator.metricName: "precision"}) - 0.66... - >>> evaluator.evaluate(dataset, {evaluator.metricName: "recall"}) + >>> evaluator.evaluate(dataset, {evaluator.metricName: "accuracy"}) 0.66... .. versionadded:: 1.5.0 |