Traceback (most recent call last): File "/root/autodl-tmp/LDM/main.py", line 535, in model = instantiate_from_config(config.model) File "/root/miniconda3/envs/ldm/lib/python3.8/site-packages/omegaconf/dictconfig.py", line 353, in getattr...
the neural network is trained to calculate the posterior probability of the internal features, given basic features as input, such as the Jaccard distance between author name, co-authors
To calculate p-values, SmartPLS uses a bias-corrected and accelerated (BCa) bootstrap method to construct confidence intervals around the parameter estimates [51]. The confidence intervals are adjusted for potential bias and skewness in the bootstrap distribution. If the confidence interval for a ...