This PR adds a new example to the documentation that demonstrates the use of pytorch to assess different error models during merging. Comparison is made between Student's t-distributed error models (more robust to outliers) and normally distributed errors.
This PR adds a new example to the documentation that demonstrates the use of pytorch to assess different error models during merging. Comparison is made between Student's t-distributed error models (more robust to outliers) and normally distributed errors.