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Release v0.2.3
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@jinlow jinlow released this 01 May 02:03
· 279 commits to main since this release
v0.2.3
6e18ff5
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Learn about vigilant mode.
  • Fixed bug where features were said to have zero variance, with low populated levels.
  • Added subsample parameter to sample records prior to training each tree.
  • Added missing parameter, so missing can now be assigned to any float, rather than only being np.nan.
  • Added metadata store to booster object, so info can be saved on the booster and loaded again later after saving.
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