Fixed bug with PyTorch tensors causing alternating prediction values
1.0.10
1. Fixed bug in training continuation. 2. GBRL now requires to specify the input dim when creating a model instance.
1.0.8
Changed observations to be optional for step function. Updating a model can now be down via model.step() instead of model.step(X).
1.0.7
- Fixed integration with MSVC. - Changed cosine score function in CPU and CUDA.
1.0.6
Improved PyTorch integration
The `step` and `predict/__call__` functions, GBRL functions in GBRL now work directly with PyTorch tensors, eliminating the need to clone data to the CPU and convert it to NumPy.
1.0.4
This release ensures full compatibility with GBRL version 1.0.4. Please update to this version if you're using GBRL v1.0.4 to avoid compatibility issues.