本文整理匯總了Python中msmbuilder.msm.ContinuousTimeMSM.summarize方法的典型用法代碼示例。如果您正苦於以下問題：Python ContinuousTimeMSM.summarize方法的具體用法？Python ContinuousTimeMSM.summarize怎麽用？Python ContinuousTimeMSM.summarize使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類msmbuilder.msm.ContinuousTimeMSM的用法示例。
在下文中一共展示了ContinuousTimeMSM.summarize方法的2個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: test_hessian
# 需要導入模塊: from msmbuilder.msm import ContinuousTimeMSM [as 別名]
# 或者: from msmbuilder.msm.ContinuousTimeMSM import summarize [as 別名]
def test_hessian():
grid = NDGrid(n_bins_per_feature=10, min=-np.pi, max=np.pi)
seqs = grid.fit_transform(load_doublewell(random_state=0)['trajectories'])
seqs = [seqs[i] for i in range(10)]
lag_time = 10
model = ContinuousTimeMSM(verbose=True, lag_time=lag_time)
model.fit(seqs)
msm = MarkovStateModel(verbose=False, lag_time=lag_time)
print(model.summarize())
print('MSM timescales\n', msm.fit(seqs).timescales_)
print('Uncertainty K\n', model.uncertainty_K())
print('Uncertainty pi\n', model.uncertainty_pi())示例2: test_hessian_3
# 需要導入模塊: from msmbuilder.msm import ContinuousTimeMSM [as 別名]
# 或者: from msmbuilder.msm.ContinuousTimeMSM import summarize [as 別名]
def test_hessian_3():
grid = NDGrid(n_bins_per_feature=4, min=-np.pi, max=np.pi)
trajs = DoubleWell(random_state=0).get_cached().trajectories
seqs = grid.fit_transform(trajs)
seqs = [seqs[i] for i in range(10)]
lag_time = 10
model = ContinuousTimeMSM(verbose=False, lag_time=lag_time)
model.fit(seqs)
msm = MarkovStateModel(verbose=False, lag_time=lag_time)
print(model.summarize())
# print('MSM timescales\n', msm.fit(seqs).timescales_)
print('Uncertainty K\n', model.uncertainty_K())
print('Uncertainty eigs\n', model.uncertainty_eigenvalues())