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Diffstat (limited to 'python/pyspark/ml/evaluation.py')
| -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 719c0c7d79..fc9099b7ec 100644 --- a/python/pyspark/ml/evaluation.py +++ b/python/pyspark/ml/evaluation.py @@ -111,7 +111,7 @@ class BinaryClassificationEvaluator(JavaEvaluator, HasLabelCol, HasRawPrediction The rawPrediction column can be of type double (binary 0/1 prediction, or probability of label 1) or of type vector (length-2 vector of raw predictions, scores, or label probabilities). - >>> from pyspark.mllib.linalg import Vectors + >>> from pyspark.ml.linalg import Vectors >>> scoreAndLabels = map(lambda x: (Vectors.dense([1.0 - x[0], x[0]]), x[1]), ... [(0.1, 0.0), (0.1, 1.0), (0.4, 0.0), (0.6, 0.0), (0.6, 1.0), (0.6, 1.0), (0.8, 1.0)]) >>> dataset = sqlContext.createDataFrame(scoreAndLabels, ["raw", "label"]) |