xgboost4j-spark_2.12 1.6.2 API < Back
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# Packages

-  package root
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-  package org
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-  package apache
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-  package spark
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    apache
-  package ml
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    spark
-  package linalg
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    ml
-  package xgboost
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    linalg
- XGBoostSchemaUtils

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org.apache.spark.ml.linalg.xgboost

# XGBoostSchemaUtils 

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#### object XGBoostSchemaUtils

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5.  def checkFeatureColumnType(dataType: DataType): Unit

   The feature columns will be vectorized by VectorAssembler first, which only supports Numeric, Boolean and VectorUDT types

6.  def checkNumericType(schema: StructType, colName: String, msg: String = ""): Unit
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14.  def isVectorUDFType(dataType: DataType): Boolean

    check if the dataType is VectorUDT

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