deeptime.markov.tools.estimation.prior_const

deeptime.markov.tools.estimation.prior_const(C, alpha=0.001)

Constant prior for given count matrix.

Parameters:

• C ((M, M) ndarray or scipy.sparse matrix) – Count matrix

• alpha (float (optional)) – Value of prior counts

Returns:

B – Prior count matrix

Return type:

(M, M) ndarray

Notes

The prior is defined as

\[\begin{array}{rl} b_{ij}= \alpha & \forall i, j \end{array} \]

Examples

>>> import numpy as np
>>> from deeptime.markov.tools.estimation import prior_const

>>> C = np.array([[10, 1, 0], [2, 0, 3], [0, 1, 4]])
>>> B = prior_const(C)
>>> B
array([[0.001, 0.001, 0.001],
       [0.001, 0.001, 0.001],
       [0.001, 0.001, 0.001]])