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Classe « ODR »

Méthode scipy.odr.ODR.set_job

Signature de la méthode set_job

def set_job(self, fit_type=None, deriv=None, var_calc=None, del_init=None, restart=None) 

Description

help(ODR.set_job)

Sets the "job" parameter is a hopefully comprehensible way.

If an argument is not specified, then the value is left as is. The
default value from class initialization is for all of these options set
to 0.

Parameters
----------
fit_type : {0, 1, 2} int
    0 -> explicit ODR

    1 -> implicit ODR

    2 -> ordinary least-squares
deriv : {0, 1, 2, 3} int
    0 -> forward finite differences

    1 -> central finite differences

    2 -> user-supplied derivatives (Jacobians) with results
      checked by ODRPACK

    3 -> user-supplied derivatives, no checking
var_calc : {0, 1, 2} int
    0 -> calculate asymptotic covariance matrix and fit
         parameter uncertainties (V_B, s_B) using derivatives
         recomputed at the final solution

    1 -> calculate V_B and s_B using derivatives from last iteration

    2 -> do not calculate V_B and s_B
del_init : {0, 1} int
    0 -> initial input variable offsets set to 0

    1 -> initial offsets provided by user in variable "work"
restart : {0, 1} int
    0 -> fit is not a restart

    1 -> fit is a restart

Notes
-----
The permissible values are different from those given on pg. 31 of the
ODRPACK User's Guide only in that one cannot specify numbers greater than
the last value for each variable.

If one does not supply functions to compute the Jacobians, the fitting
procedure will change deriv to 0, finite differences, as a default. To
initialize the input variable offsets by yourself, set del_init to 1 and
put the offsets into the "work" variable correctly.

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