Percentage-Error Support Vector Regression

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Documentation for package ‘psvr’ version 0.1.0

• DESCRIPTION file
• User guides, package vignettes and other documentation
• Package NEWS
• Package README

Help Pages

coef.psvr_mape	Extract coefficients from a psvr_mape model
coef.psvr_mape_sym	Extract coefficients from a psvr_mape_sym model
coef.psvr_rmspe	Extract coefficients from a psvr_rmspe model
coef.psvr_rmspe_sym	Extract coefficients from a psvr_rmspe_sym model
cost_psvr	Cost parameter with extended range for psvr models
cost_psvr_ls_data	Data-driven cost range for LS-SVR psvr models
fitted.psvr_mape	Extract training fitted values from a psvr model
fitted.psvr_mape_sym	Extract training fitted values from a psvr model
fitted.psvr_rmspe	Extract training fitted values from a psvr model
fitted.psvr_rmspe_sym	Extract training fitted values from a psvr model
make_kernel	Create a kernel function
margin_percentage	Insensitivity margin in percentage units
predict.psvr_mape	Predict from a fitted epsilon-SVR with MAPE model
predict.psvr_mape_sym	Predict from a fitted symmetric epsilon-SVR with MAPE model
predict.psvr_rmspe	Predict from a fitted LS-SVR with RMSPE model
predict.psvr_rmspe_sym	Predict from a fitted symmetric LS-SVR with RMSPE model
print.psvr_mape	Print method for psvr_mape objects
print.psvr_mape_sym	Print method for psvr_mape_sym objects
print.psvr_rmspe	Print method for psvr_rmspe objects
print.psvr_rmspe_sym	Print method for psvr_rmspe_sym objects
psvr-fitted	Extract training fitted values from a psvr model
psvr-residuals	Extract training residuals from a psvr model
psvr_cv	Cross-validate psvr_mape() with automatic warm-start across folds
psvr_mape	Fit an epsilon-SVR with MAPE loss
psvr_mape_linear	Parsnip model specs: epsilon-SVR with MAPE loss (Model 1)
psvr_mape_poly	Parsnip model specs: epsilon-SVR with MAPE loss (Model 1)
psvr_mape_rbf	Parsnip model specs: epsilon-SVR with MAPE loss (Model 1)
psvr_mape_specs	Parsnip model specs: epsilon-SVR with MAPE loss (Model 1)
psvr_option_add	Apply data-driven rbf_sigma to all psvr workflows in a workflow set
psvr_option_add_cost_ls	Apply data-driven LS-SVR cost range to all m3/m4 workflows in a workflow set
psvr_rmspe	Fit a least-squares SVR with RMSPE loss
psvr_rmspe_linear	Parsnip model specs: LS-SVR with RMSPE loss (Model 3)
psvr_rmspe_poly	Parsnip model specs: LS-SVR with RMSPE loss (Model 3)
psvr_rmspe_rbf	Parsnip model specs: LS-SVR with RMSPE loss (Model 3)
psvr_rmspe_specs	Parsnip model specs: LS-SVR with RMSPE loss (Model 3)
rbf_sigma_psvr	RBF sigma parameter for psvr models
rbf_sigma_psvr_data	RBF sigma parameter with data-driven range for psvr models
residuals.psvr_mape	Extract training residuals from a psvr model
residuals.psvr_mape_sym	Extract training residuals from a psvr model
residuals.psvr_rmspe	Extract training residuals from a psvr model
residuals.psvr_rmspe_sym	Extract training residuals from a psvr model
sigma_heuristic	Median-distance heuristic for RBF kernel bandwidth
summary.psvr_mape	Summarize a fitted epsilon-SVR with MAPE loss
summary.psvr_mape_sym	Summarize a fitted symmetric epsilon-SVR with MAPE loss
summary.psvr_rmspe	Summarize a fitted LS-SVR with RMSPE loss
summary.psvr_rmspe_sym	Summarize a fitted symmetric LS-SVR with RMSPE loss
sym_type_param	Dials parameter for symmetry type