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.