class_docstr: Transforms K - 1 dimensional simplex space (k values in [0,1] and that sum to 1) to a K - 1 vector of values in [0,1]
  This Transformation operates on the last dimension of the input tensor.
class_docstr_tok: ["Transforms","K","-","1","dimensional","simplex","space","(","k","values","in","[","0,1","]","and","that","sum","to","1",")","to","a","K","-","1","vector","of","values","in","[","0,1","]","This","Transformation","operates","on","the","last","dimension","of","the","input","tensor","."]
code: def __init__(self, ndim_supp=None):
      if ndim_supp is not None:
          warnings.warn(
              "ndim_supp argument is deprecated and has no effect",
              FutureWarning,
          )
  
imports: import warnings
  from functools import singledispatch
  import numpy
  import pytensor.tensor
  from numpy.core.numeric import normalize_axis_tuple
  from pytensor.graph import Op
  from pytensor.tensor import TensorVariable
  import pymc
  from pymc.logprob.transforms import ChainedTransform, CircularTransform, IntervalTransform, LogOddsTransform, LogTransform, SimplexTransform, Transform
label_desc: Use image node_id 1 to create a new SumTo1 object from inherited base classes: Transform with example: obj = SumTo1(ndim_supp)