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Apache Spark commented on SPARK-6121: ------------------------------------- User 'mengxr' has created a pull request for this issue: https://github.com/apache/spark/pull/4858 > Python DataFrame type inference for LabeledPoint gets wrong type > ---------------------------------------------------------------- > > Key: SPARK-6121 > URL: https://issues.apache.org/jira/browse/SPARK-6121 > Project: Spark > Issue Type: Bug > Components: MLlib, PySpark, SQL > Affects Versions: 1.3.0 > Reporter: Joseph K. Bradley > Assignee: Xiangrui Meng > Priority: Critical > > In Pyspark, when an RDD of LabeledPoints is converted to a DataFrame using > toDF(), the returned DataFrame has type "null" instead of VectorUDT. > To reproduce: > {code} > from pyspark.mllib.util import MLUtils > rdd = MLUtils.loadLibSVMFile(sc, "data/mllib/sample_libsvm_data.txt") > df = rdd.toDF() > {code} > Examine rdd and df to see: > {code} > >>> df > DataFrame[features: null, label: double] > {code} -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org