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[SPARK-29489][ML][PySpark] ml.evaluation support log-loss #26135

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[SPARK-29489][ML][PySpark] ml.evaluation support log-loss #26135

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b97e8e8
create pr
zhengruifeng Oct 15, 2019
dadf716
update doc
zhengruifeng Oct 16, 2019
90c8ef2
fix style
zhengruifeng Oct 16, 2019
2b94170
fix pytest
zhengruifeng Oct 16, 2019
a981f7b
logloss -> logLoss
zhengruifeng Oct 16, 2019
38b901c
address some commments
zhengruifeng Oct 17, 2019
f46046c
address some commments
zhengruifeng Oct 18, 2019
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fix pytest
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@zhengruifeng
zhengruifeng committed Oct 16, 2019
commit 2b94170a5fbc8f26a5ba8ee74243d7ba58b42fb1
4 changes: 2 additions & 2 deletions python/pyspark/ml/evaluation.py
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Expand Up @@ -345,9 +345,9 @@ class MulticlassClassificationEvaluator(JavaEvaluator, HasLabelCol, HasPredictio
0.66...
>>> evaluator.evaluate(dataset, {evaluator.metricName: "accuracy"})
0.66...
>>> predictionAndLabelsWithProbabilities = sc.parallelize([
>>> predictionAndLabelsWithProbabilities = [
... (1.0, 1.0, 1.0, [0.1, 0.8, 0.1]), (0.0, 2.0, 1.0, [0.9, 0.05, 0.05]),
... (0.0, 0.0, 1.0, [0.8, 0.2, 0.0]), (1.0, 1.0, 1.0, [0.3, 0.65, 0.05])])
... (0.0, 0.0, 1.0, [0.8, 0.2, 0.0]), (1.0, 1.0, 1.0, [0.3, 0.65, 0.05])]
>>> dataset = spark.createDataFrame(predictionAndLabelsWithProbabilities, ["prediction",
... "label", "weight", "probability"])
>>> evaluator = MulticlassClassificationEvaluator(predictionCol="prediction",
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