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v0.2.1

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@ktaaaki ktaaaki released this 13 Oct 06:05
d7f126c

Updates

  • #133 Enabled to use time-specific step losses without extension of slice function
  • #127, #130 Changed the output directory of example notebooks to make it easier to browse (and automatically installed sklearn with !pip)
  • #126 Reverted the TransformedDistribution arguments to their previous format (use memoization to get the log-likelihood)

Bugfix

  • #134 Elimination of errors in the latest version of pytorch caused by flow non-contiguous tensors
  • #133 Fixed a bug related to timestep_var in Iterative Loss
  • #132 Fixed a bug when specifying the same random variable as args of init in DistributionBase
  • #124 Fixed a bug so that PoE does not cause an error when only one distribution is specified