R: Automatic Machine Learning with 'tidymodels'

# Automatic Machine Learning with 'tidymodels'

## Documentation for package ‘tidyAML’ version 0.0.8

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

B C D E F G H I K L M N P Q R S X Z

## -- B --

brulee_classification_logistic_reg | Internal Model Builders for Classification
brulee_classification_mlp | Internal Model Builders for Classification
brulee_classification_multinom_reg | Internal Model Builders for Classification
brulee_regression_linear_reg | Internal Model Builders for Regression
brulee_regression_mlp | Internal Model Builders for Regression

## -- C --

check_duplicate_rows | Check for Duplicate Rows in a Data Frame
core_packages | Functions to Install all Core Libraries
create_model_spec | Generate Model Specification calls to 'parsnip'
create_splits | Utility Create Splits Object
create_workflow_set | Create a Workflow Set Object
cubist_regression_cubist_rules | Internal Model Builders for Regression

## -- D --

dbarts_classification_bart | Internal Model Builders for Classification
dbarts_regression_bart | Internal Model Builders for Regression

## -- E --

earth_classification_bag_mars | Internal Model Builders for Classification
earth_classification_discrim_flexible | Internal Model Builders for Classification
earth_classification_mars | Internal Model Builders for Classification
earth_regression_bag_mars | Internal Model Builders for Regression
earth_regression_mars | Internal Model Builders for Regression
extract_model_spec | Extract A Model Specification
extract_regression_residuals | Extract Residuals from Fast Regression Models
extract_tunable_params | Extract Tunable Parameters from Model Specifications
extract_wflw | Extract A Model Workflow
extract_wflw_fit | Extract A Model Fitted Workflow
extract_wflw_pred | Extract A Model Workflow Predictions

## -- F --

fast_classification | Generate Model Specification calls to 'parsnip'
fast_classification_parsnip_spec_tbl | Utility Classification call to 'parsnip'
fast_regression | Generate Model Specification calls to 'parsnip'
fast_regression_parsnip_spec_tbl | Utility Regression call to 'parsnip'
full_internal_make_wflw | Full Internal Workflow for Model and Recipe

## -- G --

gee_classification_logistic_reg | Internal Model Builders for Classification
gee_regression_linear_reg | Internal Model Builders for Regression
gee_regression_poisson_reg | Internal Model Builders for Regression
get_model | Get a Model
glmer_classification_logistic_reg | Internal Model Builders for Classification
glmer_regression_linear_reg | Internal Model Builders for Regression
glmer_regression_poisson_reg | Internal Model Builders for Regression
glmnet_classification_logistic_reg | Internal Model Builders for Classification
glmnet_classification_multinom_reg | Internal Model Builders for Classification
glmnet_regression_linear_reg | Internal Model Builders for Regression
glmnet_regression_poisson_reg | Internal Model Builders for Regression
glm_classification_logistic_reg | Internal Model Builders for Classification
glm_regression_linear_reg | Internal Model Builders for Regression
glm_regression_poisson_reg | Internal Model Builders for Regression
gls_regression_linear_reg | Internal Model Builders for Regression

## -- H --

hurdle_regression_poisson_reg | Internal Model Builders for Regression

## -- I --

install_deps | Functions to Install all Core Libraries
internal_make_fitted_wflw | Internals Safely Make a Fitted Workflow from Model Spec tibble
internal_make_spec_tbl | Internals Make a Model Spec tibble
internal_make_wflw | Internals Safely Make Workflow from Model Spec tibble
internal_make_wflw_gee_lin_reg | Internals Safely Make Workflow for GEE Linear Regression
internal_make_wflw_predictions | Internals Safely Make Predictions on a Fitted Workflow from Model Spec tibble
internal_model_builders_classification | Internal Model Builders for Classification
internal_model_builders_regression | Internal Model Builders for Regression
internal_set_args_to_tune | Internals Make a Tunable Model Specification

## -- K --

kernlab_classification_svm_linear | Internal Model Builders for Classification
kernlab_classification_svm_poly | Internal Model Builders for Classification
kernlab_classification_svm_rbf | Internal Model Builders for Classification
kernlab_regression_svm_linear | Internal Model Builders for Regression
kernlab_regression_svm_poly | Internal Model Builders for Regression
kernlab_regression_svm_rbf | Internal Model Builders for Regression
kknn_classification_nearest_neighbor | Internal Model Builders for Classification
kknn_regression_nearest_neighbor | Internal Model Builders for Regression
klar_classification_discrim_regularized | Internal Model Builders for Classification
klar_classification_naive_bayes | Internal Model Builders for Classification

## -- L --

liblinear_classification_logistic_reg | Internal Model Builders for Classification
liblinear_classification_svm_linear | Internal Model Builders for Classification
liblinear_regression_svm_linear | Internal Model Builders for Regression
lightgbm_regression_boost_tree | Internal Model Builders for Regression
liquidsvm_classification_svm_rbf | Internal Model Builders for Classification
lmer_regression_linear_reg | Internal Model Builders for Regression
lme_regression_linear_reg | Internal Model Builders for Regression
lm_regression_linear_reg | Internal Model Builders for Regression
load_deps | Functions to Install all Core Libraries

## -- M --

make_classification_base_tbl | Internals Make Base Classification Tibble
make_regression_base_tbl | Internals Make Base Regression Tibble
mass_classification_discrim_linear | Internal Model Builders for Classification
mass_classification_discrim_quad | Internal Model Builders for Classification
match_args | Match function arguments
mda_classification_discrim_linear | Internal Model Builders for Classification
mgcv_classification_gen_additive_mod | Internal Model Builders for Classification
mgcv_regression_gen_additive_mod | Internal Model Builders for Regression

## -- N --

nnet_classification_mlp | Internal Model Builders for Classification
nnet_classification_multinom_reg | Internal Model Builders for Classification
nnet_regression_mlp | Internal Model Builders for Regression

## -- P --

partykit_regression_decision_tree | Internal Model Builders for Regression
plot_regression_predictions | Create ggplot2 plot of regression predictions
plot_regression_residuals | Create ggplot2 plot of regression residuals

## -- Q --

quantile_normalize | Perform quantile normalization on a numeric matrix/data.frame

## -- R --

randomforest_regression_rand_forest | Internal Model Builders for Regression
ranger_regression_rand_forest | Internal Model Builders for Regression
rpart_regression_bag_tree | Internal Model Builders for Regression
rpart_regression_decision_tree | Internal Model Builders for Regression

## -- S --

sda_classification_discrim_linear | Internal Model Builders for Classification
sparsediscrim_classification_discrim_linear | Internal Model Builders for Classification
sparsediscrim_classification_discrim_quad | Internal Model Builders for Classification
stan_glmer_regression_linear_reg | Internal Model Builders for Regression
stan_glmer_regression_poisson_reg | Internal Model Builders for Regression
stan_regression_linear_reg | Internal Model Builders for Regression
stan_regression_poisson_reg | Internal Model Builders for Regression

## -- X --

xgboost_regression_boost_tree | Internal Model Builders for Regression
xrf_classification_rule_fit | Internal Model Builders for Classification
xrf_regression_rule_fit | Internal Model Builders for Regression

## -- Z --

zeroinfl_regression_poisson_reg | Internal Model Builders for Regression