出现name 'allow_singular' is not defined报错

这个报错通常是因为你使用了TensorFlow的版本较低，而在该版本中没有定义allow_singular参数。可以尝试将TensorFlow升级至最新版本，或者在代码中手动设置allow_singular参数为True。具体方法是：

import tensorflow.compat.v1 as tf
tf.disable_v2_behavior()

...

with tf.Session(config=tf.ConfigProto(allow_soft_placement=True, log_device_placement=False)) as sess:
    ...

其中，allow_soft_placement参数控制是否允许在CPU和GPU之间自动选择，而log_device_placement参数控制是否打印设备信息。

相关问题

泊松回归singular matrix报错

这个错误通常是由于数据中存在线性相关性（multicollinearity）引起的。当存在线性相关性时，某些特征变量可以被其他变量线性表示，这会导致回归矩阵是奇异的（singular），无法求逆，从而导致报错。

解决这个问题的方法包括：

1. 删除某些高度相关的特征变量，以消除线性相关性。

2. 使用正则化方法，如L1或L2正则化，来减小特征变量的权重，并且可以在一定程度上减小线性相关性的影响。

3. 使用主成分分析（PCA）等降维方法来减少特征变量的数量，从而减小线性相关性的影响。

4. 使用其他回归方法，如岭回归（Ridge Regression）或lasso回归（Lasso Regression），这些方法对线性相关性比较鲁棒。

总之，当出现泊松回归singular matrix报错时，需要检查数据中是否存在线性相关性，并采取相应的措施来消除或减小其影响。

Evaluation of explicit MBS formalism: Modal matrix of Flexible Body $B_Flextrack is singular.

The error message you provided suggests that the modal matrix of the flexible body, represented by the symbol $B_{Flextrack}$, is singular. This means that the matrix cannot be inverted, which can be a problem for some calculations.

There are a few potential causes for this error. One possibility is that the flexible body is not properly defined or modeled in the simulation. For example, if the flexible body has no stiffness or mass, or if the boundary conditions are not properly defined, this can lead to a singular modal matrix.

Another possibility is that there are numerical issues with the simulation itself. For example, if the simulation is not stable or accurate enough, this can lead to singular matrices.

To resolve this error, you may need to check your simulation setup and ensure that the flexible body is properly defined and modeled. You may also need to check your numerical methods and ensure that they are stable and accurate. If you continue to have issues, you may need to consult with an expert in the field or seek additional resources to help troubleshoot the problem.