Package index

Unified entry point

psvr() is the single primary fitter for all four model families. Selects via loss = "mape" | "rmspe" and sym = NULL | +1L | -1L.

psvr()

Fit a percentage-error SVR / LS-SVR model

predict(<psvr_fit>)

Predict from a fitted psvr_fit model

print(<psvr_fit>)

Print method for psvr_fit objects

coef(<psvr_fit>)

Extract coefficients from a psvr_fit model

summary(<psvr_fit>)

Summary method for psvr_fit objects

Kernel factory

Shared kernel interface used by all four models.

make_kernel()

Create a kernel function

tidymodels / parsnip interface — ε-SVR with MAPE (Model 1)

Parsnip model specifications for Model 1 (one per kernel type).

psvr_mape_rbf() psvr_mape_poly() psvr_mape_linear()

Parsnip model specs: epsilon-SVR with MAPE loss (Model 1)

tidymodels / parsnip interface — Symmetric ε-SVR with MAPE (Model 2)

Parsnip model specifications for Model 2 (one per kernel type).

psvr_mape_sym_rbf() psvr_mape_sym_poly() psvr_mape_sym_linear()

Parsnip model specs: symmetric epsilon-SVR with MAPE loss (Model 2)

tidymodels / parsnip interface — LS-SVR with RMSPE (Model 3)

Parsnip model specifications for Model 3 (one per kernel type).

psvr_rmspe_rbf() psvr_rmspe_poly() psvr_rmspe_linear()

Parsnip model specs: LS-SVR with RMSPE loss (Model 3)

tidymodels / parsnip interface — Symmetric LS-SVR with RMSPE (Model 4)

Parsnip model specifications for Model 4 (one per kernel type).

psvr_rmspe_sym_rbf() psvr_rmspe_sym_poly() psvr_rmspe_sym_linear()

Parsnip model specs: symmetric LS-SVR with RMSPE loss (Model 4)

Hyperparameter utilities

Custom dials parameters and tuning helpers for psvr models.

margin_percentage()

Insensitivity margin in percentage units

sigma_heuristic()

Median-distance heuristic for RBF kernel bandwidth

rbf_sigma_psvr()

RBF sigma parameter for psvr models

rbf_sigma_psvr_data()

RBF sigma parameter with data-driven range for psvr models

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

cost_psvr()

Cost parameter with extended range for psvr models

cost_psvr_ls_data()

Data-driven cost range for LS-SVR psvr models

sym_type_param()

Dials parameter for symmetry type

Deprecated API

Soft-deprecated wrappers retained for backwards compatibility. New code should use psvr(). Scheduled removal: v0.2.0+.

mape_svr()

Fit epsilon-SVR with MAPE loss (deprecated)

mape_sym_svr()

Fit symmetric epsilon-SVR with MAPE loss (deprecated)

rmspe_lssvr()

Fit LS-SVR with RMSPE loss (deprecated)

rmspe_sym_lssvr()

Fit symmetric LS-SVR with RMSPE loss (deprecated)

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

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