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modAL 0.3.5

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@cosmic-cortex cosmic-cortex released this 11 Nov 10:58
· 119 commits to master since this release

Changes

  • ActiveLearner now supports np.nan and np.inf in the data by setting force_all_finite=False upon initialization. #58
  • Bayesian optimization fixed for multidimensional functions.
  • Calls to check_X_y no longer converts between datatypes. #49
  • Expected error reduction implementation error fixed. #45
  • modAL.utils.data_vstack now falls back to numpy.concatenate if possible.
  • Multidimensional data for ranked batch sampling and expected error reduction fixed. #41

Fixes by @zhangyu94:

  • modAL.selection.shuffled_argmax #32
  • Cold start instance in modAL.batch.ranked_batch fixed. #30
  • Best instance index in modAL.batch.select_instance fixed. #29