class_docstr: Exponential model
  
  This model is defined by :math:`y=\beta_0 + e^{\beta_1 x}`
  
  Examples
  --------
  We can calculate orthogonal distance regression with an exponential model:
  
  >>> from scipy import odr
  >>> x = np.linspace(0.0, 5.0)
  >>> y = -10.0 + np.exp(0.5*x)
  >>> data = odr.Data(x, y)
  >>> odr_obj = odr.ODR(data, odr.exponential)
  >>> output = odr_obj.run()
  >>> print(output.beta)
  [-10.    0.5]
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code: def __init__(self):
      super().__init__(
          _exp_fcn,
          fjacd=_exp_fjd,
          fjacb=_exp_fjb,
          estimate=_exp_est,
          meta={
              "name": "Exponential",
              "equ": "y= B_0 + exp(B_1 * x)",
              "TeXequ": r"$y=\beta_0 + e^{\beta_1 x}$",
          },
      )
  
imports: import numpy
  from scipy.odr.odrpack import Model
label_desc: Use image node_id 1 to create a new _ExponentialModel object from inherited base classes: Model with example: obj = _ExponentialModel()