class_docstr: Initializes by sampling from a uniform distribution.
docstr: Constructs a :class:`RandomUniform` initializer.
  
  Args:
    minval: The lower limit of the uniform distribution.
    maxval: The upper limit of the uniform distribution.
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code: def __init__(self, minval=0.0, maxval=1.0):
      """Constructs a :class:`RandomUniform` initializer.
  
      Args:
        minval: The lower limit of the uniform distribution.
        maxval: The upper limit of the uniform distribution.
      """
      self.minval = minval
      self.maxval = maxval
  
imports: from collections.abc import Sequence
  from typing import Any, Union
  from haiku._src import base
  from haiku._src.typing import Initializer
  import jax
  import jax.numpy
  import numpy
label_desc: Use image node_id 1 to create a new RandomUniform object from inherited base classes: hk.initializers with example: obj = RandomUniform(minval, maxval)