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All packages in 'topepo' (JSON format)
All packages 'topepo' (NDJSON stream)
AmesHousing
AppliedPredictiveModeling
baguette
beans
brulee
C50
caret
Cubist
desirability
desirability2
finetune
modeldata
modeldb
parsnip
plsmod
probably
QSARdata
recipes
sfd
sparsediscrim
sparseLDA
tidymodels
tidyposterior
tune
usemodels
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AmesHousing::ames_geo (tbl_df)
AmesHousing::ames_new (spec_tbl_df)
AmesHousing::ames_raw (tbl_df)
AmesHousing::ames_school_districts_sf (sf)
AmesHousing::ames_schools_geo (tbl_df)
AmesHousing::hood_levels (character)
AppliedPredictiveModeling::ChemicalManufacturingProcess (data.frame)
AppliedPredictiveModeling::abalone (data.frame)
AppliedPredictiveModeling::bio (data.frame)
AppliedPredictiveModeling::cars2010 (data.frame)
AppliedPredictiveModeling::cars2011 (data.frame)
AppliedPredictiveModeling::cars2012 (data.frame)
AppliedPredictiveModeling::chem (data.frame)
AppliedPredictiveModeling::classes (factor)
AppliedPredictiveModeling::concrete (data.frame)
AppliedPredictiveModeling::diagnosis (factor)
AppliedPredictiveModeling::fingerprints (matrix)
AppliedPredictiveModeling::injury (factor)
AppliedPredictiveModeling::logisticCreditPredictions (data.frame)
AppliedPredictiveModeling::mixtures (data.frame)
AppliedPredictiveModeling::permeability (matrix)
AppliedPredictiveModeling::predictors (data.frame)
AppliedPredictiveModeling::predictors (data.frame)
AppliedPredictiveModeling::schedulingData (data.frame)
AppliedPredictiveModeling::segmentationOriginal (data.frame)
AppliedPredictiveModeling::solTestX (data.frame)
AppliedPredictiveModeling::solTestXtrans (data.frame)
AppliedPredictiveModeling::solTestY (numeric)
AppliedPredictiveModeling::solTrainX (data.frame)
AppliedPredictiveModeling::solTrainXtrans (data.frame)
AppliedPredictiveModeling::solTrainY (numeric)
beans::beans (tbl_df)
caret::GermanCredit (data.frame)
caret::Sacramento (data.frame)
caret::absorp (matrix)
caret::bbbDescr (data.frame)
caret::cars (data.frame)
caret::cox2Class (factor)
caret::cox2Descr (data.frame)
caret::cox2IC50 (numeric)
caret::dhfr (data.frame)
caret::endpoints (matrix)
caret::fattyAcids (data.frame)
caret::logBBB (numeric)
caret::mdrrClass (factor)
caret::mdrrDescr (data.frame)
caret::oilType (factor)
caret::potteryClass (factor)
caret::scat (data.frame)
caret::scat_orig (data.frame)
caret::segmentationData (data.frame)
desirability2::classification_results (tbl_df)
modeldata::Chicago (tbl_df)
modeldata::Sacramento (tbl_df)
modeldata::Smithsonian (tbl_df)
modeldata::ad_data (tbl_df)
modeldata::ames (tbl_df)
modeldata::attrition (data.frame)
modeldata::biomass (data.frame)
modeldata::bivariate_test (tbl_df)
modeldata::bivariate_train (tbl_df)
modeldata::bivariate_val (tbl_df)
modeldata::car_prices (tbl_df)
modeldata::cat_adoption (tbl_df)
modeldata::cells (tbl_df)
modeldata::check_times (tbl_df)
modeldata::chem_proc_yield (tbl_df)
modeldata::concrete (tbl_df)
modeldata::covers (data.frame)
modeldata::credit_data (data.frame)
modeldata::crickets (tbl_df)
modeldata::deliveries (tbl_df)
modeldata::drinks (tbl_df)
modeldata::grants_2008 (integer)
modeldata::grants_other (data.frame)
modeldata::grants_test (data.frame)
modeldata::hepatic_injury_qsar (tbl_df)
modeldata::hotel_rates (tbl_df)
modeldata::hpc_cv (data.frame)
modeldata::hpc_data (tbl_df)
modeldata::ischemic_stroke (tbl_df)
modeldata::leaf_id_flavia (tbl_df)
modeldata::lending_club (tbl_df)
modeldata::meats (tbl_df)
modeldata::mlc_churn (tbl_df)
modeldata::oils (tbl_df)
modeldata::parabolic (tbl_df)
modeldata::pathology (data.frame)
modeldata::pd_speech (tbl_df)
modeldata::penguins (tbl_df)
modeldata::permeability_qsar (tbl_df)
modeldata::scat (tbl_df)
modeldata::solubility_test (data.frame)
modeldata::stackoverflow (tbl_df)
modeldata::stations (character)
modeldata::steroidogenic_toxicity (tbl_df)
modeldata::tate_text (tbl_df)
modeldata::taxi (tbl_df)
modeldata::testing_data (tbl_df)
modeldata::training_data (tbl_df)
modeldata::two_class_dat (tbl_df)
modeldata::two_class_example (data.frame)
modeldata::wa_churn (tbl_df)
parsnip::model_db (tbl_df)
probably::boosting_predictions_oob (tbl_df)
probably::boosting_predictions_test (tbl_df)
probably::segment_logistic (tbl_df)
probably::segment_naive_bayes (tbl_df)
probably::species_probs (tbl_df)
QSARdata::AquaticTox_Activity (numeric)
QSARdata::AquaticTox_AtomPair (data.frame)
QSARdata::AquaticTox_Daylight_FP (data.frame)
QSARdata::AquaticTox_Dragon (data.frame)
QSARdata::AquaticTox_Lcalc (data.frame)
QSARdata::AquaticTox_Outcome (data.frame)
QSARdata::AquaticTox_PipelinePilot_FP (data.frame)
QSARdata::AquaticTox_QuickProp (data.frame)
QSARdata::AquaticTox_moe2D (data.frame)
QSARdata::AquaticTox_moe2D_FP (data.frame)
QSARdata::AquaticTox_moe3D (data.frame)
QSARdata::MP_Data (factor)
QSARdata::MP_Descriptors (data.frame)
QSARdata::MP_Outcome (numeric)
QSARdata::Mutagen_Dragon (data.frame)
QSARdata::Mutagen_Outcome (factor)
QSARdata::bbb2_AtomPair (data.frame)
QSARdata::bbb2_Class (factor)
QSARdata::bbb2_Daylight_FP (data.frame)
QSARdata::bbb2_Dragon (data.frame)
QSARdata::bbb2_Lcalc (data.frame)
QSARdata::bbb2_Outcome (data.frame)
QSARdata::bbb2_PipelinePilot_FP (data.frame)
QSARdata::bbb2_QuickProp (data.frame)
QSARdata::bbb2_moe2D (data.frame)
QSARdata::bbb2_moe2D_FP (data.frame)
QSARdata::bbb2_moe3D (data.frame)
sfd::sfd_lib (list)
sparsediscrim::two_class_sim_data (tbl_df)
sparseLDA::penicilliumYES (list)
tidyposterior::concrete_example (vfold_cv)
tidyposterior::contrast_samples (posterior_diff)
tidyposterior::noisy_example (vfold_cv)
tidyposterior::posterior_samples (posterior)
tidyposterior::precise_example (vfold_cv)
tidyposterior::ts_example (rolling_origin)
tune::ames_grid_search (tune_results)
tune::ames_iter_search (iteration_results)
tune::ames_wflow (workflow)
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xlsx
json
ndjson
RData
rds
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AmesHousing
AppliedPredictiveModeling
beans
C50
caret
Cubist
desirability
sfd
sparsediscrim
sparseLDA