- Variables are now referenced by their names, instead of tuples `(var_name, index)`. This change was required to improve the compatibility with other modeling languages, which do not follow this convention. The functions `get_variable_category` and `get_variable_features` now have the following signature:
- Variables are now referenced by their names, instead of tuples `(var_name, index)`. This change was required to improve the compatibility with modeling languages other than Pyomo, which do not follow this convention. The functions `get_variable_category` and `get_variable_features` now have the following signature:
- Features are now represented as a list of floating point numbers, as indicated in the snipped above. This change was required for performance reasons. Returning numpy arrays is no longer supported.
- Features are now represented as a list of floating point numbers, as indicated in the snippet above. This change was required for performance reasons. Returning numpy arrays is no longer supported, and raises an error.
- Internal solvers must now be specified as objects, instead of strings. For example,
- Internal solvers must now be specified as objects, instead of strings. For example,
```python
```python
@ -45,8 +45,8 @@
### Removed
### Removed
- Temporarily remove the experimental `BranchPriorityComponent`. This component will be re-added in the Julia version of the package.
- Temporarily removed the experimental `BranchPriorityComponent`. This component will be re-added in the Julia version of the package.
- Removed `solver.add` methods, previously used to add components to an existing solver. Use `LearningSolver(components=[...])` instead.
- Removed `solver.add` method, previously used to add components to an existing solver. Use the constructor`LearningSolver(components=[...])` instead.
