Pyhthon Notebook examples

Perhaps the easiest to get starting using MPSlib is by running and adjusting a number of jupyter notebooks.

• MPSlib: Getting started with MPSlib/scikit-mps in Python
  • Setup MPSLib
  • Choose training image
  • Run MPSlib
  • Plot some realizations using matplotlib
• MPSlib: hard and soft data in MPSlib
  • Define hard data
  • Define soft/uncertain data
  • Preferential path
  • Hard data
  • Soft/uncertain data
• MPSlib: Using masks
• MPSlib: Training images in scikit-mps
  • List the available training images
  • Plot training images
  • Coarsen a 2D training to a 3D
• MPSlib: estimation
  • Estimation
  • Simulation
• MPSlib: computation of entropy and self-information
  • Setup MPSLib
  • Plot entropy
  • Entropy as a function of number of conditional data
• MPSlib: variable template size in mps_snesim_tree and mps_snesim_list
• GENESIM with distance weighing
• Example: Mapping buried valleys in Kasted, Denmark
  • Get the training image and conditional data
  • PyVIsta plotting of conditional data
• MPSlib in Kasted
  • Setup and run MPSlib