[jira] [Created] (SPARK-10518) Update code examples in spark.ml user guide to use LIBSVM data source instead of MLUtils

[Xiangrui Meng (JIRA)]

Xiangrui Meng created SPARK-10518:
-------------------------------------

             Summary: Update code examples in spark.ml user guide to use LIBSVM 
data source instead of MLUtils
                 Key: SPARK-10518
                 URL: https://issues.apache.org/jira/browse/SPARK-10518
             Project: Spark
          Issue Type: Improvement
          Components: Documentation, MLlib
    Affects Versions: 1.5.0
            Reporter: Xiangrui Meng
            Priority: Minor


SPARK-10117 was merged, we should use LIBSVM data source in the example code in 
spark.ml user guide, e.g.,

{code}
val df = sqlContext.read.format("libsvm").load("path")
{code}

instead of

{code}
val df = MLUtils.loadLibSVMFile(sc, "path").toDF()
{code}

We should update the following:

{code}
ml-ensembles.md:40:val data = MLUtils.loadLibSVMFile(sc,
ml-ensembles.md:87:RDD<LabeledPoint> data = MLUtils.loadLibSVMFile(jsc.sc(),
ml-features.md:866:val data = MLUtils.loadLibSVMFile(sc, 
"data/mllib/sample_libsvm_data.txt").toDF()
ml-features.md:892:JavaRDD<LabeledPoint> rdd = MLUtils.loadLibSVMFile(sc.sc(),
ml-features.md:917:data = MLUtils.loadLibSVMFile(sc, 
"data/mllib/sample_libsvm_data.txt").toDF()
ml-features.md:940:val data = MLUtils.loadLibSVMFile(sc, 
"data/mllib/sample_libsvm_data.txt")
ml-features.md:964:  MLUtils.loadLibSVMFile(jsc.sc(), 
"data/mllib/sample_libsvm_data.txt").toJavaRDD();
ml-features.md:985:data = MLUtils.loadLibSVMFile(sc, 
"data/mllib/sample_libsvm_data.txt")
ml-features.md:1022:val data = MLUtils.loadLibSVMFile(sc, 
"data/mllib/sample_libsvm_data.txt")
ml-features.md:1047:  MLUtils.loadLibSVMFile(jsc.sc(), 
"data/mllib/sample_libsvm_data.txt").toJavaRDD();
ml-features.md:1068:data = MLUtils.loadLibSVMFile(sc, 
"data/mllib/sample_libsvm_data.txt")
ml-linear-methods.md:44:val training = MLUtils.loadLibSVMFile(sc, 
"data/mllib/sample_libsvm_data.txt").toDF()
ml-linear-methods.md:84:    DataFrame training = 
sql.createDataFrame(MLUtils.loadLibSVMFile(sc, path).toJavaRDD(), 
LabeledPoint.class);
ml-linear-methods.md:110:training = MLUtils.loadLibSVMFile(sc, 
"data/mllib/sample_libsvm_data.txt").toDF()
{code}



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