class_docstr: Wrapper class for H2OBinaryOp step's left/right args.
  
  Use if you want to signal that a column actually comes from the train to be fitted on.
class_docstr_tok: ["Wrapper","class","for","H2OBinaryOp","step","'s","left\/right","args",".","Use","if","you","want","to","signal","that","a","column","actually","comes","from","the","train","to","be","fitted","on","."]
code: def __init__(self, column):
      self.col = column
  
imports: import warnings
  from .transform_base import H2OTransformer
label_desc: Use image node_id 1 to create a new H2OCol object from inherited base classes: object with example: obj = H2OCol(column)