class_docstr: Data generator base class in order to allow composition.
class_docstr_tok: ["Data","generator","base","class","in","order","to","allow","composition","."]
code: def __init__(self, means, lengths, std_dev=1.0, random_state=None):
      self.means = means
      self.lengths = lengths
      self.std_dev = std_dev
      self.random_state = random_state
  
file_path: sktime/sktime/annotation/datagen.py
imports: from typing import Union
  import numpy
  import numpy.typing
  from sklearn.utils.validation import check_random_state
label_desc: Use image node_id 1 to create a new GenBasicGauss object  with example: obj = GenBasicGauss(means, lengths, std_dev, random_state)