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Posted to issues@spark.apache.org by "Xiangrui Meng (JIRA)" <ji...@apache.org> on 2015/08/19 18:23:47 UTC
[jira] [Created] (SPARK-10117) Implement SQL data source API for
reading LIBSVM data
Xiangrui Meng created SPARK-10117:
-------------------------------------
Summary: Implement SQL data source API for reading LIBSVM data
Key: SPARK-10117
URL: https://issues.apache.org/jira/browse/SPARK-10117
Project: Spark
Issue Type: New Feature
Components: ML
Reporter: Xiangrui Meng
It is convenient to implement data source API for LIBSVM format to have a better integration with DataFrames and ML pipeline API.
{code}
import org.apache.spark.ml.source.libsvm._
val training = sqlContext.read
.format("libsvm")
.option("numFeatures", "10000")
.load("path")
{code}
This JIRA covers the following:
1. Read LIBSVM data as a DataFrame with two columns: label: Double and features: Vector.
2. Accept `numFeatures` as an option.
3. The implementation should live under `org.apache.spark.ml.source.libsvm`.
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