Automatic Machine Learning with 'tidymodels'

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Documentation for package ‘tidyAML’ version 0.0.8

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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