class_docstr: Base class for ``Transform`` models that represent a computation
  to be carried out on the client-side.
  
  JavaScript implementations should implement the following methods:
  
  .. code-block
  
      compute(x: number): number {
          # compute and return the transform of a single value
      }
  
      v_compute(xs: Arrayable<number>): Arrayable<number> {
          # compute and return the transform of an array of values
      }
class_docstr_tok: ["Base","class","for","``","Transform","``","models","that","represent","a","computation","to","be","carried","out","on","the","client-side",".","JavaScript","implementations","should","implement","the","following","methods",":","..","code-block","compute","(","x",":","number",")",":","number","{","#","compute","and","return","the","transform","of","a","single","value","}","v_compute","(","xs",":","Arrayable","<","number",">",")",":","Arrayable","<","number",">","{","#","compute","and","return","the","transform","of","an","array","of","values","}"]
code: def __init__(self, *args, **kwargs) -> None:
      super().__init__(*args, **kwargs)
  
imports: from __future__ import annotations
  import logging
  from ..core.enums import JitterRandomDistribution, StepMode
  from ..core.has_props import abstract
  from ..core.properties import AnyRef, Bool, Dict, Either, Enum, Float, Instance, Nullable, Required, Seq, String
  from ..model import Model
  from .sources import ColumnarDataSource
label_desc: Use image node_id 1 to create a new Transform object from inherited base classes: Model with example: obj = Transform()