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Posted to issues@spark.apache.org by "Narine Kokhlikyan (JIRA)" <ji...@apache.org> on 2016/03/25 04:35:25 UTC
[jira] [Created] (SPARK-14147) SparkR - ML predictors return
features with vector datatype, however SparkR doesn't support it
Narine Kokhlikyan created SPARK-14147:
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Summary: SparkR - ML predictors return features with vector datatype, however SparkR doesn't support it
Key: SPARK-14147
URL: https://issues.apache.org/jira/browse/SPARK-14147
Project: Spark
Issue Type: Bug
Reporter: Narine Kokhlikyan
It seems that ML predictors in SparkR return an output which contains features represented with vector datatype, however SparkR doesn't support it and as a result features are being displayed as an environment variable.
example:
prediction <- predict(model, training)
collect(prediction)
Sepal_Length Sepal_Width Petal_Length Petal_Width features prediction
1 5.1 3.5 1.4 0.2 <environment: 0x10b7a8870> 1
2 4.9 3.0 1.4 0.2 <environment: 0x10b79d498> 1
3 4.7 3.2 1.3 0.2 <environment: 0x10b7960a8> 1
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