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Minor Release 0.55
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@charlesmartin14 charlesmartin14 released this 17 Oct 04:05
· 785 commits to master since this release
0.55
0e71301

weightwatcher 0.5.5 has been released to pypi
pip install weightwatcher
This minor release includes several new, experimental features, including

  • rand_distance metric, a new method for measuring how well a layer is trained
  • fix_fingers='xmin_peak' , which fit a the entire ESD, not just the long tail, to a power law
  • fix_fingers='clip_xmax' , which attempts to correct for spuriously large values of alpha
  • SVDSharpness Transform, which clips off large elements of W using RMT
  • SVDSmoothness Transform, which forms a low rank approximation of the model
  • StackedLayerIterator, which can be used for very small models
  • Save Figure now saves all images to a subfolder
  • Vector Entropy and Localization Metrics now plotted
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