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Module « scipy.special »

Fonction expit - module scipy.special

Signature de la fonction expit

def expit(*args, **kwargs) 

Description

help(scipy.special.expit)

expit(x, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature])


    expit(x, out=None)

    Expit (a.k.a. logistic sigmoid) ufunc for ndarrays.

    The expit function, also known as the logistic sigmoid function, is
    defined as ``expit(x) = 1/(1+exp(-x))``.  It is the inverse of the
    logit function.

    Parameters
    ----------
    x : ndarray
        The ndarray to apply expit to element-wise.
    out : ndarray, optional
        Optional output array for the function values

    Returns
    -------
    scalar or ndarray
        An ndarray of the same shape as x. Its entries
        are `expit` of the corresponding entry of x.

    See Also
    --------
    logit

    Notes
    -----
    As a ufunc expit takes a number of optional
    keyword arguments. For more information
    see `ufuncs <https://docs.scipy.org/doc/numpy/reference/ufuncs.html>`_

    .. versionadded:: 0.10.0

    Examples
    --------
    >>> import numpy as np
    >>> from scipy.special import expit, logit

    >>> expit([-np.inf, -1.5, 0, 1.5, np.inf])
    array([ 0.        ,  0.18242552,  0.5       ,  0.81757448,  1.        ])

    `logit` is the inverse of `expit`:

    >>> logit(expit([-2.5, 0, 3.1, 5.0]))
    array([-2.5,  0. ,  3.1,  5. ])

    Plot expit(x) for x in [-6, 6]:

    >>> import matplotlib.pyplot as plt
    >>> x = np.linspace(-6, 6, 121)
    >>> y = expit(x)
    >>> plt.plot(x, y)
    >>> plt.grid()
    >>> plt.xlim(-6, 6)
    >>> plt.xlabel('x')
    >>> plt.title('expit(x)')
    >>> plt.show()
    

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