1. 18 Nov, 2020 1 commit
  2. 17 Nov, 2020 2 commits
  3. 12 Nov, 2020 1 commit
  4. 05 Oct, 2020 1 commit
  5. 02 Oct, 2020 1 commit
  6. 30 Sep, 2020 1 commit
  7. 28 Sep, 2020 1 commit
  8. 24 Sep, 2020 1 commit
  9. 23 Sep, 2020 1 commit
  10. 22 Sep, 2020 2 commits
  11. 21 Apr, 2020 1 commit
  12. 31 Mar, 2020 1 commit
  13. 10 Feb, 2020 1 commit
  14. 18 Dec, 2019 4 commits
  15. 17 Dec, 2019 4 commits
  16. 12 Dec, 2019 1 commit
  17. 05 Dec, 2019 1 commit
  18. 25 Nov, 2019 1 commit
  19. 29 Oct, 2019 1 commit
  20. 08 Oct, 2019 1 commit
    • mikf's avatar
      . · 2e871f80
      mikf authored
      New PyWake syntax
      Updated docker image with texlive-latex-extra for PyWake report
      
      removed version from init
      
      types as input
      2e871f80
  21. 04 Oct, 2019 2 commits
  22. 20 Sep, 2019 4 commits
  23. 19 Sep, 2019 1 commit
  24. 17 Sep, 2019 2 commits
    • mikf's avatar
      new load constraint component · 50e60c2a
      mikf authored
      Added initial implementation of the predict functions
      
      Fixed pep8
      
      WIP on implementing the evaluation of a surrogate based on a dictionary
      
      Added option for evaluating a surrogate model with a dictionary
      
      Added option for using MinMaxScaler and not only StandardScaler. Improved documentation
      
      Added one more surrogate type, fixed output type and PEP8
      
      Initial implementation of predict_gradient for OpenTURNS metamodels. Improved documentation and clarified names
      
      Bugfix to predict functions and refractoring
      
      Bugfix and improved exceptions
      
      Added documentation for finite differences (to be implemented)
      
      Added implementation for the step size parameters
      
      Added implementation for finite differences
      
      Added step size and output scaling.
      
      Fixed TypeError: 'staticmethod' object is not callable
      thanks to https://stackoverflow.com/a/41921291/3676517
      
      Removed class SurrogateEvaluation and placed all of its content in the load module
      
      new structure to allow for load constraints
      
      finished new structure and updated tests
      
      included aggregated_cost.py
      
      Added function to compute the relative and absolute errors
      
      removed try except from load constraints and added setup requirement: openturns vers. >= 1.13
      
      working on ex 8
      
      Added SurrogateModel class
      
      passing input vals to load component to get the shapes right
      
      Added  warning for extrapolation
      
      Added first test for load module
      
      Added test and fixed a bug
      
      Added another test
      
      Added test for SurrogateModel class
      
      Added first test for predict_gradient() and fixed a bug
      
      Added test for PCE
      
      Fixed test_PCE()
      
      Added test for MLPRegressor
      
      Improved test
      
      Added test for wrong input type
      
      Added test for input domain boundary
      
      Added test for unknown model type
      
      Improved test for PCE and neural network
      
      Added test for input and output scaler
      
      Fixed predict_gradient() if there is an input_scaler. Remove code for finite differences, since they will be computed with OpenMDAO
      
      Fixed ouput_scaler in predict_gradient()
      
      added test of load constraint
      
      Added more test
      
      Improved test
      
      coverage up + pep8
      
      added docstrings
      
      pep8
      
      fixed loose connection of post constraint in some cases
      
      Fixed behavior of scikit-learn neural network in case of 1D output
      
      PEP8
      50e60c2a
    • Pierre-Elouan Rethore's avatar
  25. 12 Sep, 2019 3 commits