Releases: ETHZ-INS/TFBlearner
Releases · ETHZ-INS/TFBlearner
v0.1.2
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
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 trainingtfFeatures(): Avoid breaking when co-binding features are requested but no tf-cofactors provided
First initial package version
- In terms of code and functionality identical to version 0.0.1.1001 as specified earlier in the R package description file