docstr: Fit X into an embedded space and return that transformed output.
  
  Parameters
  ----------
  X: np.ndarray
      The data matrix to be embedded.
  y : ignored
  
  Returns
  -------
  np.ndarray
      Embedding of the training data in low-dimensional space.
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code: def fit_transform(self, X, y=None):
      """Fit X into an embedded space and return that transformed output.
  
      Parameters
      ----------
      X: np.ndarray
          The data matrix to be embedded.
      y : ignored
  
      Returns
      -------
      np.ndarray
          Embedding of the training data in low-dimensional space.
  
      """
      embedding = super().fit(X)
      self.embedding_ = embedding
      return self.embedding_.view(np.ndarray)
  
imports: import openTSNE
  import numpy
label_desc: Use image node_id 2 for calling the TSNE obj's underlying member method code with example usage: obj.fit_transform(X, y) and returns: self