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@bwpriest bwpriest released this 03 Nov 01:13
· 33 commits to main since this release
v0.8.2
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Learn about vigilant mode.

v0.8.2 adds some robustness features to optimization. Changes in detail include:

  • The looph loss function has a slightly different form, and the boundary_scale parameter now defaults to 3.0 and should not be set lower.
  • The documentation for all loss functions is improved.
  • There is a new DownSampleScale variance scale parameter whose optimization method uses the analytic form, but downsamples neighborhoods across several rounds and returns the median in an attempt to avoid influence from outliers in the training data.

What's Changed

  • corrected and streamlined some MuyGPs function documentation. [skip ci] by @bwpriest in #199
  • added downsampling scale class for robustness. by @bwpriest in #200
  • updated looph to new form and improved loss documentation. by @bwpriest in #201
  • unitless looph implementation by @bwpriest in #202
  • updated .readthedocs.yaml to meet new RTD requirements [skip ci] by @bwpriest in #203
  • fixed some documentation errors for loss functions [skip ci] by @bwpriest in #204
  • release 0.8.2 prep by @bwpriest in #205

Full Changelog: v0.8.1...v0.8.2

Contributors

bwpriest
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