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

Release v1.0.3

Key Updates

• Add online/adaptive IPP benchmark
• Validate tensorflow 2.17.0 compatibility
• Update genetic algorithm-based IPP method to support sgp-tools transforms

Update TSP solver and gpflow optimizer

• Update TSP solver with args to define optional start and end locations for the solution path(s)
• Update the gpflow optimizer with args to select the optimization method with a string. The method has to be one of the available methods from scipy minimize and tensorflow optimizers

Package requirements into the release file

v1.0.1

Update version to 1.0.1

SGP-Tools v1.0.0 open sourced!!

Update setup