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Releases: ETHZ-INS/TFBlearner

v0.1.2

03 Nov 09:23
6944a1d

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v0.1.2 Pre-release
Pre-release

Changed

  • Order of features in feature matrix for prediction is ensured to be the same as during training of the model
  • Cellular contexts labelled testing/validation are removed from binding pattern computation

Fixed

  • Normalization of NA-containing columns

v0.1.1

29 Aug 13:41
3e3796c

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v0.1.1 Pre-release
Pre-release

Changed

Fixed

  • Ensuring consistent ordering and generic naming of tf-cofactors across features and in col- & metadata.
  • trainTfModel(): Avoid breaking when training contexts contain zero positive labels by removing them from training
  • tfFeatures(): Avoid breaking when co-binding features are requested but no tf-cofactors provided

First initial package version

27 Aug 14:04
ceb9bc6

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Pre-release
  • In terms of code and functionality identical to version 0.0.1.1001 as specified earlier in the R package description file