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scipy.odr.

# Output

class scipy.odr.Output(output)

  The Output class stores the output of an ODR run.

  Attributes:
    betandarray

      Estimated parameter values, of shape (q,).

    sd_betandarray

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

    cov_betandarray

      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.

    deltandarray, optional

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

    epsndarray, optional

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

    xplusndarray, optional

      Array of `x + delta`.

    yndarray, optional

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

    res_varfloat, optional

      Residual variance.

    sum_squarefloat, optional

      Sum of squares error.

    sum_square_deltafloat, optional

      Sum of squares of delta error.

    sum_square_epsfloat, optional

      Sum of squares of eps error.

    inv_condnumfloat, optional

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

    rel_errorfloat, optional

      Relative error in function values computed within fcn.

    workndarray, optional

      Final work array.

    work_inddict, optional

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

    infoint, optional

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

    stopreasonlist 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`.