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scipy.odr.

# Output

class scipy.odr.Output(output)

  The Output class stores the output of an ODR run.

  Attributes:
    beta ndarray

      Estimated parameter values, of shape (q,).

    sd_beta ndarray

      Standard deviations of the estimated parameters, of shape (p,).

    cov_beta ndarray

      Covariance matrix of the estimated parameters, of shape (p,p). Note that this cov_beta is not scaled by the residual variance res_var, whereas sd_beta is. This means `np.sqrt(np.diag(output.cov_beta * output.res_var))` is the same result as output.sd_beta.

    delta ndarray, optional

      Array of estimated errors in input variables, of same shape as x.

    eps ndarray, optional

      Array of estimated errors in response variables, of same shape as y.

    xplus ndarray, optional

      Array of `x + delta`.

    y ndarray, optional

      Array `y = fcn(x + delta)`.

    res_var float, optional

      Residual variance.

    sum_square float, optional

      Sum of squares error.

    sum_square_delta float, optional

      Sum of squares of delta error.

    sum_square_eps float, optional

      Sum of squares of eps error.

    inv_condnum float, optional

      Inverse condition number (cf. ODRPACK UG p. 77).

    rel_error float, optional

      Relative error in function values computed within fcn.

    work ndarray, optional

      Final work array.

    work_ind dict, optional

      Indices into work for drawing out values (cf. ODRPACK UG p. 83).

    info int, optional

      Reason for returning, as output by ODRPACK (cf. ODRPACK UG p. 38).

    stopreason list of str, optional

      info interpreted into English.

  Methods

  `pprint`() | Pretty-print important results.

  Notes

  Takes one argument for initialization, the return value from the function `odr`. The attributes listed as “optional” above are only present if `odr` was run with `full_output=1`.