Package: WeightSVM 1.7-16
WeightSVM: Subject Weighted Support Vector Machines
Functions for subject/instance weighted support vector machines (SVM). It uses a modified version of 'libsvm' and is compatible with package 'e1071'. It also allows user defined kernel matrix.
Authors:
WeightSVM_1.7-16.tar.gz
WeightSVM_1.7-16.zip(r-4.5)WeightSVM_1.7-16.zip(r-4.4)WeightSVM_1.7-16.zip(r-4.3)
WeightSVM_1.7-16.tgz(r-4.4-x86_64)WeightSVM_1.7-16.tgz(r-4.4-arm64)WeightSVM_1.7-16.tgz(r-4.3-x86_64)WeightSVM_1.7-16.tgz(r-4.3-arm64)
WeightSVM_1.7-16.tar.gz(r-4.5-noble)WeightSVM_1.7-16.tar.gz(r-4.4-noble)
WeightSVM_1.7-16.tgz(r-4.4-emscripten)WeightSVM_1.7-16.tgz(r-4.3-emscripten)
WeightSVM.pdf |WeightSVM.html✨
WeightSVM/json (API)
NEWS
# Install 'WeightSVM' in R: |
install.packages('WeightSVM', repos = c('https://zjph602xtc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/zjph602xtc/wsvm/issues
Last updated 1 months agofrom:408bae5ca9. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 10 2024 |
R-4.5-win-x86_64 | OK | Nov 10 2024 |
R-4.5-linux-x86_64 | OK | Nov 10 2024 |
R-4.4-win-x86_64 | OK | Nov 10 2024 |
R-4.4-mac-x86_64 | OK | Nov 10 2024 |
R-4.4-mac-aarch64 | OK | Nov 10 2024 |
R-4.3-win-x86_64 | OK | Nov 10 2024 |
R-4.3-mac-x86_64 | OK | Nov 10 2024 |
R-4.3-mac-aarch64 | OK | Nov 10 2024 |
Exports:best.tune_wsvmtune_wsvmtune.controlwsvm
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Plot Tuning Object | plot.tune_wsvm |
Plot WSVM Objects | plot.wsvm |
Predict Method for Subject Weighted Support Vector Machines | predict.wsvm |
Parameter Tuning of Functions Using Grid Search | best.tune_wsvm print.summary.tune_wsvm print.tune_wsvm summary.tune_wsvm tune_wsvm |
Control Parameters for the tune/tune_wsvm Function | tune.control |
Subject Weighted Support Vector Machines | coef.wsvm print.summary.wsvm print.wsvm summary.wsvm wsvm wsvm.default wsvm.formula |