bsfit.nodes.cirpy.data.VonMisesMixture

class bsfit.nodes.cirpy.data.VonMisesMixture(p: bool)

Bases: object

Mixture of Von Mises class

__init__(p: bool)

instantiate VonMisesMixture class

Parameters

• p (bool) – True/False means probabilities

• not (or) –

Methods

__init__(p)	instantiate VonMisesMixture class
get(v_x, v_u, v_k, mixt_coeff)	generate a mixture of von mises functions of probability densities

get(v_x: numpy.ndarray, v_u: numpy.ndarray, v_k: list, mixt_coeff: float) → numpy.ndarray

generate a mixture of von mises functions of probability densities

Parameters

• v_x (np.ndarray) – von mises’ support space

• v_u (np.ndarray) – von mises’ mean

• v_k (list) – von mises’ concentration parameter

• mixt_coeff (float) – von mises’ mixture coefficient

Returns

a mixture of von Mises

Return type

(np.ndarray)

Usage:

v_mixt = VonMisesMixture(p=True)
v_x = np.arange(0, 360, 1)
v_u = np.array([0, 90, 180, 270])
v_k = [2.7, 2.7, 2.7, 2.7]
mixture_coeff = 0.25
mixture = vm_mixt.get(v_x, v_u, v_k, mixture_coeff)