Package: COSNet 1.41.0
Marco Frasca
COSNet: Cost Sensitive Network for node label prediction on graphs with highly unbalanced labelings
Package that implements the COSNet classification algorithm. The algorithm predicts node labels in partially labeled graphs where few positives are available for the class being predicted.
Authors:
COSNet_1.41.0.tar.gz
COSNet_1.41.0.zip(r-4.5)COSNet_1.41.0.zip(r-4.4)COSNet_1.41.0.zip(r-4.3)
COSNet_1.41.0.tgz(r-4.5-x86_64)COSNet_1.41.0.tgz(r-4.5-arm64)COSNet_1.41.0.tgz(r-4.4-x86_64)COSNet_1.41.0.tgz(r-4.4-arm64)COSNet_1.41.0.tgz(r-4.3-x86_64)COSNet_1.41.0.tgz(r-4.3-arm64)
COSNet_1.41.0.tar.gz(r-4.5-noble)COSNet_1.41.0.tar.gz(r-4.4-noble)
COSNet_1.41.0.tgz(r-4.4-emscripten)COSNet_1.41.0.tgz(r-4.3-emscripten)
COSNet.pdf |COSNet.html✨
COSNet/json (API)
NEWS
| # Install 'COSNet' in R: |
| install.packages('COSNet', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/m1frasca/cosnet_github/issues
On BioConductor:COSNet-1.41.0(bioc 3.21)COSNet-1.40.0(bioc 3.20)
graphandnetworkclassificationnetworkneuralnetwork
Last updated 5 months agofrom:3f65459ecb. Checks:1 OK, 11 WARNING. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 19 2025 |
| R-4.5-win-x86_64 | WARNING | Mar 19 2025 |
| R-4.5-mac-x86_64 | WARNING | Mar 19 2025 |
| R-4.5-mac-aarch64 | WARNING | Mar 19 2025 |
| R-4.5-linux-x86_64 | WARNING | Mar 19 2025 |
| R-4.4-win-x86_64 | WARNING | Mar 19 2025 |
| R-4.4-mac-x86_64 | WARNING | Mar 19 2025 |
| R-4.4-mac-aarch64 | WARNING | Mar 19 2025 |
| R-4.4-linux-x86_64 | WARNING | Mar 19 2025 |
| R-4.3-win-x86_64 | WARNING | Mar 19 2025 |
| R-4.3-mac-x86_64 | WARNING | Mar 19 2025 |
| R-4.3-mac-aarch64 | WARNING | Mar 19 2025 |
Exports:COSNetcosnet.cross.validationfind.division.not.stratfind.division.stratgenerate_labelsgenerate_pointsoptimize_pos_aboveoptimizepreg_datarunSubnet
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| R package for binary classification and node ranking on partially labeled graphs with unbalanced labels. | COSNet-package |
| Cost Sensitive Network for node label prediction on graphs with highly unbalanced labelings | COSNet |
| Cross validation procedure for the COSNet algorithm | cosnet.cross.validation |
| Random partitioning of input data | find.division.not.strat |
| Compute a stratified random partition of the input data | find.division.strat |
| Generate random labels | generate_labels |
| Compute the points to be separated in Step 2 of COSNet algorithm (Frasca et al. 2013) | generate_points |
| Alternative algortihm for optimizing parameters | optimize_pos_above |
| Optimizing algorithm parameters | optimizep |
| Function to compute the regularized version of COSNet (Frasca et al. 2013) | reg_data |
| Realizing the network dynamics. | runSubnet |
