Module « scipy.odr »

Classe « ODR »

Informations générales

Héritage

builtins.object
    ODR

Définition

class ODR(builtins.object):

Description _{[extrait de ODR.__doc__]}

    The ODR class gathers all information and coordinates the running of the
    main fitting routine.

    Members of instances of the ODR class have the same names as the arguments
    to the initialization routine.

    Parameters
    ----------
    data : Data class instance
        instance of the Data class
    model : Model class instance
        instance of the Model class

    Other Parameters
    ----------------
    beta0 : array_like of rank-1
        a rank-1 sequence of initial parameter values. Optional if
        model provides an "estimate" function to estimate these values.
    delta0 : array_like of floats of rank-1, optional
        a (double-precision) float array to hold the initial values of
        the errors in the input variables. Must be same shape as data.x
    ifixb : array_like of ints of rank-1, optional
        sequence of integers with the same length as beta0 that determines
        which parameters are held fixed. A value of 0 fixes the parameter,
        a value > 0 makes the parameter free.
    ifixx : array_like of ints with same shape as data.x, optional
        an array of integers with the same shape as data.x that determines
        which input observations are treated as fixed. One can use a sequence
        of length m (the dimensionality of the input observations) to fix some
        dimensions for all observations. A value of 0 fixes the observation,
        a value > 0 makes it free.
    job : int, optional
        an integer telling ODRPACK what tasks to perform. See p. 31 of the
        ODRPACK User's Guide if you absolutely must set the value here. Use the
        method set_job post-initialization for a more readable interface.
    iprint : int, optional
        an integer telling ODRPACK what to print. See pp. 33-34 of the
        ODRPACK User's Guide if you absolutely must set the value here. Use the
        method set_iprint post-initialization for a more readable interface.
    errfile : str, optional
        string with the filename to print ODRPACK errors to. If the file already
        exists, an error will be thrown. The `overwrite` argument can be used to
        prevent this. *Do Not Open This File Yourself!*
    rptfile : str, optional
        string with the filename to print ODRPACK summaries to. If the file
        already exists, an error will be thrown. The `overwrite` argument can be
        used to prevent this. *Do Not Open This File Yourself!*
    ndigit : int, optional
        integer specifying the number of reliable digits in the computation
        of the function.
    taufac : float, optional
        float specifying the initial trust region. The default value is 1.
        The initial trust region is equal to taufac times the length of the
        first computed Gauss-Newton step. taufac must be less than 1.
    sstol : float, optional
        float specifying the tolerance for convergence based on the relative
        change in the sum-of-squares. The default value is eps**(1/2) where eps
        is the smallest value such that 1 + eps > 1 for double precision
        computation on the machine. sstol must be less than 1.
    partol : float, optional
        float specifying the tolerance for convergence based on the relative
        change in the estimated parameters. The default value is eps**(2/3) for
        explicit models and ``eps**(1/3)`` for implicit models. partol must be less
        than 1.
    maxit : int, optional
        integer specifying the maximum number of iterations to perform. For
        first runs, maxit is the total number of iterations performed and
        defaults to 50. For restarts, maxit is the number of additional
        iterations to perform and defaults to 10.
    stpb : array_like, optional
        sequence (``len(stpb) == len(beta0)``) of relative step sizes to compute
        finite difference derivatives wrt the parameters.
    stpd : optional
        array (``stpd.shape == data.x.shape`` or ``stpd.shape == (m,)``) of relative
        step sizes to compute finite difference derivatives wrt the input
        variable errors. If stpd is a rank-1 array with length m (the
        dimensionality of the input variable), then the values are broadcast to
        all observations.
    sclb : array_like, optional
        sequence (``len(stpb) == len(beta0)``) of scaling factors for the
        parameters. The purpose of these scaling factors are to scale all of
        the parameters to around unity. Normally appropriate scaling factors
        are computed if this argument is not specified. Specify them yourself
        if the automatic procedure goes awry.
    scld : array_like, optional
        array (scld.shape == data.x.shape or scld.shape == (m,)) of scaling
        factors for the *errors* in the input variables. Again, these factors
        are automatically computed if you do not provide them. If scld.shape ==
        (m,), then the scaling factors are broadcast to all observations.
    work : ndarray, optional
        array to hold the double-valued working data for ODRPACK. When
        restarting, takes the value of self.output.work.
    iwork : ndarray, optional
        array to hold the integer-valued working data for ODRPACK. When
        restarting, takes the value of self.output.iwork.
    overwrite : bool, optional
        If it is True, output files defined by `errfile` and `rptfile` are
        overwritten. The default is False.

    Attributes
    ----------
    data : Data
        The data for this fit
    model : Model
        The model used in fit
    output : Output
        An instance if the Output class containing all of the returned
        data from an invocation of ODR.run() or ODR.restart()

    

Constructeur(s)

Signature du constructeur	Description
__init__(self, data, model, beta0=None, delta0=None, ifixb=None, ifixx=None, job=None, iprint=None, errfile=None, rptfile=None, ndigit=None, taufac=None, sstol=None, partol=None, maxit=None, stpb=None, stpd=None, sclb=None, scld=None, work=None, iwork=None, overwrite=False)

Liste des opérateurs

Opérateurs hérités de la classe object

__eq__, __ge__, __gt__, __le__, __lt__, __ne__

Méthodes héritées de la classe object

__delattr__, __dir__, __format__, __getattribute__, __hash__, __init_subclass__, __reduce__, __reduce_ex__, __repr__, __setattr__, __sizeof__, __str__, __subclasshook__