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From "Joseph K. Bradley (JIRA)" <j...@apache.org>
Subject [jira] [Created] (SPARK-6121) Python DataFrame type inference for LabeledPoint gets wrong type
Date Mon, 02 Mar 2015 22:35:10 GMT
Joseph K. Bradley created SPARK-6121:
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             Summary: 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
            Priority: Minor


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}




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