class_docstr: Tracks the mean, variance and count of values.
class_docstr_tok: ["Tracks","the","mean",",","variance","and","count","of","values","."]
docstr: Tracks the mean, variance and count of values.
docstr_tok: ["Tracks","the","mean",",","variance","and","count","of","values","."]
code: def __init__(self, epsilon=1e-4, shape=()):
      """Tracks the mean, variance and count of values."""
      self.mean = np.zeros(shape, "float64")
      self.var = np.ones(shape, "float64")
      self.count = epsilon
  
file_path: gym/gym/wrappers/normalize.py
imports: import numpy
  import gym
label_desc: Use image node_id 1 to create a new RunningMeanStd object  with example: obj = RunningMeanStd(epsilon, shape)