pastis.optimization.poisson_structure.estimate_X¶

pastis.optimization.poisson_structure.estimate_X(counts, alpha=-3.0, beta=1.0, ini=None, bias=None, random_state=None, maxiter=10000, verbose=0)¶

Estimate the parameters of g

Parameters:

countssparse scipy matrix (n, n)

alphafloat, optional, default: -3

counts-to-distances mapping coefficient

betafloat, optional, default: 1

counts-to-distnances scaling coefficient

initndarray (n, 3), optional, default: None

initialization point

biasndarray (n, 1), optional, default: None

bias vector. If None, no bias will be applied to the model

random_state{RandomState, int, None}, optional, default: None

random state object, or seed, or None.

maxiterint, optional, default: 10000

Maximum number of iteration

verboseint, optional, default: 0

verbosity

Returns

——

X3D structure