
Package index
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create_model_spec() - Generate Model Specification calls to
parsnip
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fast_classification() - Generate Model Specification calls to
parsnip
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fast_regression() - Generate Model Specification calls to
parsnip
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extract_model_spec() - Extract A Model Specification
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extract_regression_residuals() - Extract Residuals from Fast Regression Models
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extract_tunable_params() - Extract Tunable Parameters from Model Specifications
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extract_wflw() - Extract A Model Workflow
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extract_wflw_fit() - Extract A Model Fitted Workflow
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extract_wflw_pred() - Extract A Model Workflow Predictions
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get_model() - Get a Model
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check_duplicate_rows() - Check for Duplicate Rows in a Data Frame
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core_packages() - Functions to Install all Core Libraries
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create_splits() - Utility Create Splits Object
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create_workflow_set() - Create a Workflow Set Object
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fast_classification_parsnip_spec_tbl() - Utility Classification call to
parsnip
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fast_regression_parsnip_spec_tbl() - Utility Regression call to
parsnip
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full_internal_make_wflw() - Full Internal Workflow for Model and Recipe
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install_deps() - Functions to Install all Core Libraries
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load_deps() - Functions to Install all Core Libraries
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match_args() - Match function arguments
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quantile_normalize() - Perform quantile normalization on a numeric matrix/data.frame
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plot_regression_predictions() - Create ggplot2 plot of regression predictions
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plot_regression_residuals() - Create ggplot2 plot of regression residuals
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internal_make_fitted_wflw() - Internals Safely Make a Fitted Workflow from Model Spec tibble
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internal_make_spec_tbl() - Internals Make a Model Spec tibble
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internal_make_wflw() - Internals Safely Make Workflow from Model Spec tibble
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internal_make_wflw_gee_lin_reg() - Internals Safely Make Workflow for GEE Linear Regression
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internal_make_wflw_predictions() - Internals Safely Make Predictions on a Fitted Workflow from Model Spec tibble
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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() - Internal Model Builders for Classification
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lm_regression_linear_reg()brulee_regression_linear_reg()gee_regression_linear_reg()glm_regression_linear_reg()glmer_regression_linear_reg()glmnet_regression_linear_reg()gls_regression_linear_reg()lme_regression_linear_reg()lmer_regression_linear_reg()stan_regression_linear_reg()stan_glmer_regression_linear_reg()cubist_regression_cubist_rules()glm_regression_poisson_reg()gee_regression_poisson_reg()glmer_regression_poisson_reg()glmnet_regression_poisson_reg()hurdle_regression_poisson_reg()stan_regression_poisson_reg()stan_glmer_regression_poisson_reg()zeroinfl_regression_poisson_reg()earth_regression_bag_mars()earth_regression_mars()rpart_regression_bag_tree()rpart_regression_decision_tree()partykit_regression_decision_tree()dbarts_regression_bart()xgboost_regression_boost_tree()lightgbm_regression_boost_tree()mgcv_regression_gen_additive_mod()nnet_regression_mlp()brulee_regression_mlp()kknn_regression_nearest_neighbor()ranger_regression_rand_forest()randomforest_regression_rand_forest()xrf_regression_rule_fit()liblinear_regression_svm_linear()kernlab_regression_svm_linear()kernlab_regression_svm_poly()kernlab_regression_svm_rbf() - Internal Model Builders for Regression
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internal_set_args_to_tune() - Internals Make a Tunable Model Specification
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make_classification_base_tbl() - Internals Make Base Classification Tibble
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make_regression_base_tbl() - Internals Make Base Regression Tibble