当我设置模型时(例如in )transmat_
,有人可以解释一下参数和之间的区别吗?transmat_prior
GaussianHMM()
hmmlearn.hmm
class hmmlearn.hmm.GaussianHMM( n_components = 1,
covariance_type = 'diag',
min_covar = 0.001,
startprob_prior = 1.0,
transmat_prior = 1.0,
means_prior = 0,
means_weight = 0,
covars_prior = 0.01,
covars_weight = 1,
algorithm = 'viterbi',
random_state = None,
n_iter = 10,
tol = 0.01,
verbose = False,
params = 'stmc',
init_params = 'stmc'
)
同样的解释也适用于参数startprob_prior
和startbrob_
?