Skip to content
Snippets Groups Projects
Select Git revision
  • 120--learnernd-curvature
  • 133-use-a-itemsorteddict-for-the-loss-in-the-learnernd
  • 134-learner1d-load-throws-exception-when-file-is-empty
  • 74--add-anisotropicity-to-learnerND
  • AverageLearner2D
  • bugfix/suppress
  • ci_benchmarks
  • cython
  • function_in_runner
  • make_notebook_with_content
  • master default
  • no_overlay_plotting
  • private_methods_learnernd
  • refactor/triangulating-learner
  • renorm_2d
  • rst_readme
  • rtol_integrator
  • stable-0.7
  • v0.7.2
  • v0.8.0-dev
  • v0.7.0
  • v0.7.0-dev
  • v0.6.0
  • v0.5.0
  • v0.4.1
  • v0.5.0-dev
  • v0.4.0
  • v0.4.0-dev
  • v0.3.0
  • v0.2.1
  • v0.3.0-dev
  • v0.2.0
  • v0.2.0-dev
  • v0.1.0
34 results
You can move around the graph by using the arrow keys.
Created with Raphaël 2.2.028Nov2724222120191615149873131Oct302725241312429Sep27181564131Aug302926232119181716126Jul242116Feb431Jan302D: create data_combined as a method to make it more similar to the Learner1D2D: remove self.data_combined2D: implement choose_points with add_data=False2D: simplify choose_points2D: dictbe more consistent in error messageadd distributed to the requirements.txtmake it possible to use distributed.Clientfix keyboard interupt problem in notebook, see MR !292D: fix bug with fill_stack of minimally 10 point1D: make it work with unsized numpy arrays1D: fix bug in _default_loss_per_interval2D: suggest new point on the edge of the triangle if the triangle is very narrow2D: don't add the point value pair twiceMerge branch 'tests' into 'master'remove unecessary 'verbose' parameterscorrectly test diverging integralssilence warnings from division by 0mark unimplemented tests as known failurespass a copy of learner kwargs to testsadd test for invariance under domain/codomain scalingunmark unimplemented tests as known failuresadd clarifying comments to testsmark uniform sampling test as a known failure in 2Dadd uniform sampling test for 2D learnerremove check for infinite loss when there is no dataadd 1D test for uniform sampling in absence of datareorganise test harnessmark unimplemented tests as known failuresadd basic learner tests and test generation codeuse quantumtinkerer/research for testing2D: test whether choose_points returns a tuplemove cquad tests and rewriteadd definitions for property-based tests for learnersWIPmake tests a proper package and add pytest configsetup CI and implement first test2D: use try except, such that it doesn't fail for unsized arrays2D: only call _fill_stack with at least 102D: cache the LinearNDInterpolator objects
Loading