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Scikit-TT v1.1
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@PGelss PGelss released this 25 Nov 12:47
· 295 commits to master since this release
1.1
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Learn about vigilant mode.
  • new functions in module tensor_train:
    • svd: compute global SVDs of tensor trains
    • conj: complex conjugate of a tensor train
    • TT class can now handle segments of tensor trains
  • new function in module ode:
    • sod: second-order differencing for linear differential equations
  • added module data_driven.transform:
    • methods for the construction of transformed data tensors in TT format
    • different basis functions
    • coordinate-major, function-major, and general basis decomposition
    • hocur: higher-order CUR decomposition
    • gram: compute Gram matrix of two transformed data tensors
  • added module data_driven.tedmd:
    • AMUSEt algorithm using HOSVD and HOCUR
  • added module data_driven.regression:
    • methods for solving regression problems in TT format
    • ARR, MANDy using coordinate-major and function-major approach, kernel-based MANDy
  • added examples:
    • ala10: apply tEDMD to time series data of deca-alanine
    • mnist: tensor-based image classification of theMNIST and FMNIST data set
    • ntl9: apply tEDMD to time series data of NTL9
    • toll_station: compute distribution of cars at a toll station
  • minor changes and bug fixes
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