code: def check_column_numeric(df: "SparkDataFrame", column: str) -> bool:
      return df.schema[column].dataType in [
          IntegerType(),
          ShortType(),
          LongType(),
          FloatType(),
          DecimalType(),
          DoubleType(),
      ]
  
imports: from bigdl.dllib.utils.file_utils import callZooFunc
  from pyspark.sql.types import IntegerType, ShortType, LongType, FloatType, DecimalType, DoubleType, BooleanType
  from pyspark.sql.functions import broadcast, udf
  from bigdl.dllib.utils.log4Error import *
  import warnings
  from bigdl.dllib.utils.log4Error import *
  from typing import TYPE_CHECKING, Any, List, Optional, Tuple, Union
label_desc: Use image node_id 17 for calling a global function with example usage: check_column_numeric(df, column) and returns: unknown