split_sparsemat: Split DTM into positive and negative label areas Extract...
In activetext/activeR: a semi-supervised active learning algorithm for text classification.
View source: R/functions_EM_helper.R
split_sparsemat R Documentation
Split DTM into positive and negative label areas
Extract sparse matrix triplet (row, col, value)
Description
Split DTM into positive and negative label areas
Extract sparse matrix triplet (row, col, value)
Usage
split_sparsemat(.C_train, .D_train)
activetext/activeR documentation built on May 31, 2024, 10:21 a.m.
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View source: R/functions_EM_helper.R
| split_sparsemat | R Documentation |
Split DTM into positive and negative label areas Extract sparse matrix triplet (row, col, value)
Description
Split DTM into positive and negative label areas Extract sparse matrix triplet (row, col, value)
Usage
split_sparsemat(.C_train, .D_train)
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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