pyspark.ml.evaluation.BinaryClassificationEvaluator expects predictions in the form of vectors (apparently designating confidence intervals), as described in https://spark.apache.org/docs/latest/api/python/pyspark.ml.html#pyspark.ml.evaluation.BinaryClassificationEvaluator
However, I am trying to evaluate ALS predictions, which are given as single point predictions without confidence intervals. Therefore, predictions are given as floats rather than vectors. How can I evaluate these using ml's BinaryClassificationEvaluator? (Note that this is a different function from mllib's BinaryClassificationMetrics.) Thanks! Apu --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
