zhengruifeng commented on issue #27003: [SPARK-30347][ML] LibSVMDataSource attach AttributeGroup URL: https://github.com/apache/spark/pull/27003#issuecomment-568722282 After this PR, `LibSVMDataSource` will attach `AttributeGroup` for ML impls, while keep current metata. ```scala scala> import org.apache.spark.ml.attribute._ import org.apache.spark.ml.attribute._ scala> val data = spark.read.format("libsvm").load("/data0/Dev/Opensource/spark/data/mllib/sample_multiclass_classification_data.txt") 19/12/24 18:47:35 WARN LibSVMFileFormat: 'numFeatures' option not specified, determining the number of features by going though the input. If you know the number in advance, please specify it via 'numFeatures' option to avoid the extra scan. data: org.apache.spark.sql.DataFrame = [label: double, features: vector] scala> data.schema("features").metadata res0: org.apache.spark.sql.types.Metadata = {"ml_attr":{"num_attrs":4},"numFeatures":4} scala> AttributeGroup.fromStructField(data.schema("features")).size res1: Int = 4 ```
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