Update xgboost4j_spark_tutorial.rst (#4476)
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@ -192,9 +192,9 @@ Example of setting a missing value (e.g. -999) to the "missing" parameter in XGB
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.. note:: Using 0 to represent meaningful value
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Due to the fact that Spark's VectorAssembler transformer only accepts 0 as a missing values, this one creates a problem when the user has 0 as meaningful value plus there are enough 0's to use SparseVector (However, In case the dataset is represented by a DenseVector, the 0 is kept)
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Due to the fact that Spark's VectorAssembler transformer only accepts 0 as a missing values, this one creates a problem when the user has 0 as meaningful value plus there are enough 0's to use SparseVector (However, In case the dataset is represented by a DenseVector, the 0 is kept)
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In this case, users are also supposed to transform 0 to some other values to avoid the issue.
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In this case, users are also supposed to transform 0 to some other values to avoid the issue.
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Training
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========
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