Internal Model Builders for Classification

Internal functions that build pre-configured parsnip model specifications for classification models. Each function returns a parsnip model specification with the mode and engine pre-set.

Usage

earth_classification_bag_mars()

earth_classification_mars()

earth_classification_discrim_flexible()

dbarts_classification_bart()

mass_classification_discrim_linear()

mda_classification_discrim_linear()

sda_classification_discrim_linear()

sparsediscrim_classification_discrim_linear()

mass_classification_discrim_quad()

sparsediscrim_classification_discrim_quad()

klaR_classification_discrim_regularized()

mgcv_classification_gen_additive_mod()

brulee_classification_logistic_reg()

gee_classification_logistic_reg()

glm_classification_logistic_reg()

glmer_classification_logistic_reg()

glmnet_classification_logistic_reg()

liblinear_classification_logistic_reg()

brulee_classification_mlp()

nnet_classification_mlp()

brulee_classification_multinom_reg()

glmnet_classification_multinom_reg()

nnet_classification_multinom_reg()

klar_classification_naive_bayes()

kknn_classification_nearest_neighbor()

xrf_classification_rule_fit()

kernlab_classification_svm_linear()

liblinear_classification_svm_linear()

kernlab_classification_svm_poly()

kernlab_classification_svm_rbf()

liquidsvm_classification_svm_rbf()

Value

A parsnip model specification object

Details

These functions are used internally by internal_make_spec_tbl() to create model specifications. Each function follows the naming pattern: {engine}_{mode}_{parsnip_function}()

See also

Other Internals: internal_make_fitted_wflw(), internal_make_spec_tbl(), internal_make_wflw(), internal_make_wflw_gee_lin_reg(), internal_make_wflw_predictions(), internal_model_builders_regression, internal_set_args_to_tune(), make_classification_base_tbl(), make_regression_base_tbl()

Author

Steven P. Sanderson II, MPH