Related Issues (20)
- Bug in serialising population filename
- `predict` not deterministic HOT 3
- `spread_min` of `hyperectangle_csr` is not respected (Nested config problem?) HOT 3
- Dictionary βorderβ is relevant when defining condition parameters HOT 2
- Return error strings instead of hard exiting
- Semantics of rectangle-based conditions differ HOT 2
- Improve docs of `EarlyStoppingCallback` HOT 5
- Bug in Python `fit()` when `shuffle=False`
- Kernel crash on Windows HOT 15
- Freezing, exiting without error message HOT 10
- Extend early stopping callback
- Add support for pickling XCSF
- Deserialization of tree-GP and DGP conditions segfaults HOT 1
- make Python library (mostly) sklearn compatible HOT 8
- accept 1-D inputs to fit / predict / score as well as 2-D
- fix setting max trials via JSON
- add warm_start parameter to Python fit() and default False HOT 2
- add random number seed parameter
- `XCS().get_params()` does not contain the action config HOT 9
- `random_state` parameter does not conform to sklearn interface HOT 2
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