Package: maize 0.0.2.95

maize: Specialty Kernels for SVMs

Bindings for SVMs and special kernels via kernlab, e1701, ebmc, and mildsvm extending the 'parsnip' package. Specifically related to kernels for support vector machines not available in parsnip. Package also includes interfaces for novel SVM preprocessors (recipes) and postprocessors (probably).

Authors:Frank Hull [aut, cre], Max Kuhn [ctb]

maize_0.0.2.95.tar.gz
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maize_0.0.2.95.tgz(r-4.6-any)maize_0.0.2.95.tgz(r-4.5-any)
maize_0.0.2.95.tar.gz(r-4.7-any)maize_0.0.2.95.tar.gz(r-4.6-any)
maize_0.0.2.95.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
maize/json (API)

# Install 'maize' in R:
install.packages('maize', repos = c('https://frankiethull.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/frankiethull/maize/issues

Pkgdown/docs site:https://frankiethull.github.io

Datasets:
  • corn_data - Synthetic Corn Dataset for Corny Example

On CRAN:

Conda:

quarto

3.23 score 12 stars 14 scripts 41 exports 108 dependencies

Last updated from:92194b806d. Checks:7 WARNING, 1 ERROR, 1 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64WARNING255
source / vignettesERROR777
linux-release-x86_64WARNING278
macos-release-arm64WARNING197
macos-oldrel-arm64WARNING165
windows-develWARNING240
windows-releaseWARNING261
windows-oldrelWARNING230
wasm-releaseOK200

Exports:ada_boost_svm_rbfapd_svm_novel_detectionarima_svm_laplacearima_svm_laplace_fit_implarima_svm_predict_implauto_arima_svm_laplace_fit_implbag_svm_rbfcal_apply_regressioncal_estimate_svmcheck_argsint_conformal_quantile_svmkcca_correlatekqr_laplaceksvm_stringdotlssvm_laplacemisvm_orova_fit_specmisvm_orova_rbfmisvm_predict_specpredict_ksvm_stringdot_classpredict_ksvm_stringdot_probrus_boost_svm_rbfrvm_laplacestep_kfa_laplacestep_kfm_nystromstep_kha_laplacestep_kha_tanhstep_kpca_laplacestep_kpca_tanhsvm_anova_rbfsvm_besselsvm_cauchysvm_cossimsvm_fouriersvm_laplacesvm_sorensensvm_splinesvm_stringsvm_tanhsvm_tanimotosvm_tstudentsvm_wavelet

Dependencies:applicablebase64encbslibbutchercachemclasscliclockcodetoolscpp11crayondata.tablediagramdialsDiceDesigndigestdplyrevaluatefarverfastmapfontawesomefsfurrrfuturefuture.applyGauProgenericsggplot2globalsgluegowergtablehardhathighrhtmltoolsipredisobandjquerylibjsonliteKernSmoothknitrlabelinglatticelavalbfgslifecyclelistenvlobstrlubridatemagrittrMASSMatrixmemoisemimemixoptmodelenvnnetnumDerivparallellyparsnippillarpkgconfigprettyunitsprobablyprodlimprogressrproxyCpurrrR6rappdirsRColorBrewerRcppRcppArmadillorecipesrlangrmarkdownrpartrsampleS7sassscalessfdshapeslidersparsevctrssplitfngrSQUAREMstringistringrsurvivaltailortibbletidyrtidyselecttimechangetimeDatetinytextunetzdbutf8vctrsviridisLitewarpwithrworkflowsxfunyamlyardstick

Readme and manuals

Help Manual

Help pageTopics
AdaBoost SVM with Radial Basis Function Kernelada_boost_svm_rbf
Fit an SVM novelty detection model to estimate an applicability domain.apd_svm_novel_detection apd_svm_novel_detection.data.frame apd_svm_novel_detection.default apd_svm_novel_detection.formula apd_svm_novel_detection.matrix apd_svm_novel_detection.recipe
General Interface for "Support Vector Machine" ARIMA Regression Modelsarima_svm_laplace
visualize component x-y feature spaceautoplot.kcor_df
RUS Bagged SVM with Radial Basis Function Kernelbag_svm_rbf
Uses a support vector regression model to calibrate numeric predictionscal_estimate_svm cal_estimate_svm.data.frame cal_estimate_svm.grouped_df cal_estimate_svm.tune_results
Synthetic Corn Dataset for Corny Examplecorn_data
Prediction intervals via conformal inference and QRSVMint_conformal_quantile_svm int_conformal_quantile_svm.workflow
Kernel Canonical Correlation Analysiskcca_correlate
Laplacian Kernel Quantile Regressionkqr_laplace
Laplacian Least Squares Support Vector Machinelssvm_laplace
Multiple Instance SVMs for Ordinal Outcome Data, One-Vs-All, with Radial Basis Function Kernelmisvm_orova_rbf
RUSBoost SVM with Radial Basis Function Kernelrus_boost_svm_rbf
Laplacian Relevance Vector Machine (Experimental RVM)rvm_laplace
Predict from a 'apd_svm_novel_detection'score.apd_svm_novel_detection
Laplacian function kernel KFA signal extractionstep_kfa_laplace
Nystrom kernel feature map approximation (RBF)step_kfm_nystrom
Laplacian function kernel PCA signal extraction via Hebbian Algorithmstep_kha_laplace
tanh function kernel PCA signal extraction via Hebbian Algorithmstep_kha_tanh
Laplacian function kernel PCA signal extractionstep_kpca_laplace
Laplacian function kernel PCA signal extractionstep_kpca_tanh
ANOVA RBF Support Vector Machinesvm_anova_rbf
Bessel Support Vector Machinesvm_bessel
Cauchy Support Vector Machinesvm_cauchy
Cosine Similarity Support Vector Machinesvm_cossim
Fourier Support Vector Machinesvm_fourier
Laplacian Support Vector Machinesvm_laplace
Sorensen Support Vector Machinesvm_sorensen
Spline Support Vector Machinesvm_spline
String Support Vector Machinesvm_string
Hyperbolic Tangent Support Vector Machinesvm_tanh
Tanimoto Support Vector Machinesvm_tanimoto
T-Student Support Vector Machinesvm_tstudent
Wavelet Support Vector Machinesvm_wavelet