consolidate_results: Include manual review in annotation result summaries
In bakaburg1/BaySREn: BaySREn. An R package to automatise citation collection and screening in Systematic Reviews. Based on Bayesian active machine learning
consolidate_results R Documentation
Include manual review in annotation result summaries
Description
enrich_annotation_file() creates summary files of each classification
iteration into the Results session sub-folder, but these summaries do not
includes the manual review of the predicted labels. consolidate_results()
regenerates these files including the changes resulting from the manual
review of the automatic classification.
Usage
consolidate_results(
session_name,
sessions_folder = getOption("baysren.sessions_folder", "Sessions")
)
Arguments
session_name
The session with the result files to consolidate.
sessions_folder
The path to the folder where all the sessions are
stored.
Details
The results summary, not including the manual review, is still available
inside the annotation files.
Value
The list of the regenerated Results' file content as data frames,
invisibly.
bakaburg1/BaySREn documentation built on March 30, 2022, 12:16 a.m.
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| consolidate_results | R Documentation |
Include manual review in annotation result summaries
Description
enrich_annotation_file() creates summary files of each classification
iteration into the Results session sub-folder, but these summaries do not
includes the manual review of the predicted labels. consolidate_results()
regenerates these files including the changes resulting from the manual
review of the automatic classification.
Usage
consolidate_results(
session_name,
sessions_folder = getOption("baysren.sessions_folder", "Sessions")
)
Arguments
session_name |
The session with the result files to consolidate. |
sessions_folder |
The path to the folder where all the sessions are stored. |
Details
The results summary, not including the manual review, is still available inside the annotation files.
Value
The list of the regenerated Results' file content as data frames, invisibly.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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