code: def rescale(x, inplace=False, target_std=1e-4):
      """Rescale an embedding so optimization will not have convergence issues.
  
      Parameters
      ----------
      x: np.ndarray
      inplace: bool
      target_std: float
  
      Returns
      -------
      np.ndarray
          A scaled-down version of ``x``.
  
      """
      if not inplace:
          x = np.array(x, copy=True)
  
      x /= np.std(x[:, 0]) / target_std
  
      return x
  
file_path: openTSNE/openTSNE/initialization.py
imports: import numpy
  import scipy.sparse
  from sklearn.decomposition import PCA
  from sklearn.utils import check_random_state
  from openTSNE import utils
label_desc: Use image node_id 1 for calling a global function with example usage: rescale(x, inplace, target_std) and returns: x