Release v1.1.8

Key Updates

• Add option to skip inducing variables update in SSGP

Release v1.1.7

Key Updates

• Update SSGP to use assign method-based updates
• Update SSGP to use original Z init method
• Update SSGP init to handle ndim data

Release v1.1.6

Key Updates

• Fix package version

Release v1.1.5

Key Updates

• Update get_model_params to include variables to control the number and training of inducing points when using an SGP
• Add optional seed param to synthetic data gen method
• Add a method to sample unlabeled points in a polygon defined with vertices

Release v1.1.4

Key Updates

• Update get_model_params to use an SGP for large datasets and optionally return the trained model
• Convert TSP start/end idx to nodes

Release v1.1.3

Key Updates

• Add action to sync package version in setup.py and init.py

Release v1.1.0

Key Updates

• Improve benchmark script stability
• Fix mutual information metric in baselines
• Update baselines to use transforms

Release v1.0.6

Key Updates

• Add Adaptive-IPP benchmark and example notebook
• Update non-point FoV transforms to be compatible with IPPTransform and also usable as standalone transforms
• Change the default optimizer to Scipy

Release v1.0.5

Key Updates

• Fix candidate points scaling issue in the data preprocessing module
• Change default optimizer to Scipy
• Set IPPTransform continuous sampling type to w/o FoV aggregation
• Improve benchmark script stability

Release v1.0.4

Key Updates

• Update dataset preprocessing utility to use PIL instead of GDAL to read tif files
• Reduce package dependencies to pip installable packages