class_docstr: A class to convert sampler output arrays to their original types.
class_docstr_tok: ["A","class","to","convert","sampler","output","arrays","to","their","original","types","."]
code: def __init__(self, X, y):
      self.x_props = self._gets_props(X)
      self.y_props = self._gets_props(y)
  
imports: import warnings
  from collections import OrderedDict
  from functools import wraps
  from inspect import Parameter, signature
  from numbers import Real
  from typing import Any, Dict
  import numpy
  from sklearn.utils import column_or_1d
  from sklearn.utils.multiclass import type_of_target
label_desc: Use image node_id 1 to create a new ArraysTransformer object  with example: obj = ArraysTransformer(X, y)