Code and examples for reconstructing energy dispersion from (photoemission) band mapping data, including a probabilistic machine learning algorithm based on Markov random field and the associated pre- and post-processing steps that transform the data structure of experimental band mapping and calculated band structure data. The examples are primarily based on the dataset of 2H-WSe2, a layered semiconductor with a hexagonal lattice. The live repository with historical changes is available at https://github.com/mpes-kit/fuller, with online documentation at https://mpes-kit.github.io/fuller/html/index.html The linked dataset can be found at https://doi.org/10.5281/zenodo.7314278 The linked manuscript is at https://arxiv.org/abs/2005.10210