API for MachineShop
Machine Learning Models and Tools

Global functions
%>% Man page
+,SurvMatrix,SurvMatrix-method Man page
. Man page
. Source code
.SVMModel Source code
.curve_approx Source code
.expand_model Source code
.expand_model.MLModel Source code
.expand_model.default Source code
.expand_model.tbl_df Source code
.expand_modelgrid Source code
.expand_modelgrid.MLModel Source code
.expand_modelgrid.ParameterGrid Source code
.expand_modelgrid.TunedModel Source code
.expand_modelgrid.TuningGrid Source code
.expand_modelgrid.tbl_df Source code
.fit Source code
.fit.MLInput Source code
.fit.MLModel Source code
.fit.SelectedInput Source code
.fit.SelectedModel Source code
.fit.StackedModel Source code
.fit.SuperModel Source code
.fit.TunedModel Source code
.fit.TunedModelRecipe Source code
.fit_optim Source code
.metricinfo Source code
.metricinfo.ConfusionList Source code
.metricinfo.ConfusionMatrix Source code
.metricinfo.MLMetric Source code
.metricinfo.character Source code
.metricinfo.default Source code
.metricinfo.function Source code
.metricinfo.list Source code
.modelinfo Source code
.modelinfo.MLModel Source code
.modelinfo.character Source code
.modelinfo.default Source code
.modelinfo.function Source code
.modelinfo.list Source code
.modelinfo_types Source code
.onLoad Source code
.performance Source code
.predict Source code
.predict.MLModel Source code
.predict.StackedModel Source code
.predict.SuperModel Source code
.predict.Surv Source code
.predict.Surv.list Source code
.predict.Surv.matrix Source code
.predict.Surv.numeric Source code
.predict.Surv.survfit Source code
.resample Source code
.resample.BootControl Source code
.resample.CVControl Source code
.throw Source code
.throw.LocalError Source code
.throw.LocalWarning Source code
.throw.default Source code
.throw.error Source code
.throw.warning Source code
AdaBagModel Man page Source code
AdaBoostModel Man page Source code
BARTMachineModel Man page Source code
BARTModel Man page Source code
BinomialVariate Man page Source code
BlackBoostModel Man page Source code
BootControl Man page Source code
BootOptimismControl Man page Source code
C50Model Man page Source code
CForestModel Man page Source code
CVControl Man page Source code
CVOptimismControl Man page Source code
Calibration Source code
ConfusionMatrix Man page Source code
CoxModel Man page Source code
CoxStepAICModel Man page Source code
DeprecatedCondition Source code
DiscreteVariate Man page Source code
DomainError Source code
EarthModel Man page Source code
EmpiricalSurv Source code
EmpiricalSurv.Surv Source code
EmpiricalSurv.SurvProbs Source code
EmpiricalSurv.survfit Source code
Error Source code
Exponential Source code
FDAModel Man page Source code
GAMBoostModel Man page Source code
GBMModel Man page Source code
GLMBoostModel Man page Source code
GLMModel Man page Source code
GLMNetModel Man page Source code
GLMStepAICModel Man page Source code
GridSearch Source code
ICHomes Man page
KNNModel Man page Source code
LARSModel Man page Source code
LDAModel Man page Source code
LMModel Man page Source code
LiftCurve Source code
LocalError Source code
LocalWarning Source code
MDAModel Man page Source code
MLControl Man page
MLMetric Man page Source code
MLMetric<- Man page
MLModel Man page Source code
MLModelFit Source code
MLModelFunction Man page Source code
MachineShop Man page
MachineShop-package Man page
ModelFrame Man page Source code
ModelFrame.ModelFrame Source code
ModelFrame.ModelTerms Source code
ModelFrame.data.frame Source code
ModelFrame.formula Man page Source code
ModelFrame.matrix Man page Source code
ModelFrame.recipe Source code
ModelRecipe Source code
ModelRecipe.ModelRecipe Source code
ModelRecipe.recipe Source code
ModelSpecification Man page Source code
ModelSpecification.ModelFrame Man page Source code
ModelSpecification.ModeledFrame Source code
ModelSpecification.ModeledRecipe Source code
ModelSpecification.default Man page Source code
ModelSpecification.formula Man page Source code
ModelSpecification.matrix Man page Source code
ModelSpecification.recipe Man page Source code
ModeledInput Man page Source code
NNetModel Man page Source code
NaiveBayesModel Man page Source code
NegBinomialVariate Man page Source code
NullControl Source code
NullModel Source code
NullOptimization Source code
OOBControl Man page Source code
PDAModel Man page
PLSModel Man page Source code
POLRModel Man page Source code
ParameterGrid Man page Source code
ParameterGrid.list Man page Source code
ParameterGrid.param Man page Source code
ParameterGrid.parameters Man page Source code
ParsnipModel Man page Source code
PartialDependence Source code
Performance Source code
PerformanceCurve Source code
PoissonVariate Man page Source code
PredictorFrame Source code
QDAModel Man page Source code
RFSRCFastModel Man page Source code
RFSRCModel Man page Source code
RPartModel Man page Source code
RandomForestModel Man page Source code
RandomGridSearch Source code
RangerModel Man page Source code
Rayleigh Source code
SVMANOVAModel Man page Source code
SVMBesselModel Man page Source code
SVMLaplaceModel Man page Source code
SVMLinearModel Man page Source code
SVMModel Man page Source code
SVMPolyModel Man page Source code
SVMRadialModel Man page Source code
SVMSplineModel Man page Source code
SVMTanhModel Man page Source code
SelectedInput Man page Source code
SelectedInput.ModelFrame Man page Source code
SelectedInput.ModelSpecification Man page Source code
SelectedInput.formula Man page Source code
SelectedInput.list Man page Source code
SelectedInput.matrix Man page Source code
SelectedInput.recipe Man page Source code
SelectedModel Man page Source code
SelectedModel.ModelSpecification Man page Source code
SelectedModel.default Man page Source code
SelectedModel.list Man page Source code
SelectedModelFrame Man page
SelectedModelRecipe Man page
SelectedModelSpecification Man page
SequentialOptimization Source code
SplitControl Man page Source code
StackedModel Man page Source code
SuperModel Man page Source code
SurvEvents Man page Source code
SurvMatrix Man page Source code
SurvMeans Source code
SurvPrediction Source code
SurvProbs Man page Source code
SurvRegModel Man page Source code
SurvRegStepAICModel Man page Source code
SurvTimes Source code
TrainControl Man page Source code
TrainingParams Source code
TrainingStep Source code
TreeModel Man page Source code
TunedInput Man page Source code
TunedInput.recipe Man page Source code
TunedModel Man page Source code
TunedModelRecipe Man page
TuningGrid Man page Source code
TypeError Source code
VariableImportance Source code
VariableImportance.default Source code
VariableImportance.matrix Source code
VariableImportance.numeric Source code
Warning Source code
Weibull Source code
Weibull.Surv Source code
Weibull.SurvProbs Source code
Weibull.numeric Source code
Weibull.survfit Source code
XGBDARTModel Man page Source code
XGBLinearModel Man page
XGBModel Man page Source code
XGBTreeModel Man page
[,DiscreteVariate,ANY,missing,missing-method Man page
[,ListOf,ANY,missing,missing-method Man page
[,ModelFrame,ANY,ANY,ANY-method Man page
[,ModelFrame,ANY,missing,ANY-method Man page
[,ModelFrame,missing,ANY,ANY-method Man page
[,ModelFrame,missing,missing,ANY-method Man page
[,RecipeGrid,ANY,ANY,ANY-method Man page
[,Resample,ANY,ANY,ANY-method Man page
[,Resample,ANY,missing,ANY-method Man page
[,Resample,missing,missing,ANY-method Man page
[,SurvMatrix,ANY,ANY,ANY-method Man page
[,SurvTimes,ANY,missing,missing-method Man page
[.BinomialVariate Man page
accuracy Man page Source code
append Source code
as.MLControl Source code
as.MLControl.MLControl Source code
as.MLControl.NULL Source code
as.MLControl.character Source code
as.MLControl.default Source code
as.MLControl.function Source code
as.MLInput Man page Source code
as.MLInput.MLInput Source code
as.MLInput.MLModelFit Man page Source code
as.MLInput.ModelSpecification Man page Source code
as.MLInput.default Source code
as.MLInput.formula Source code
as.MLInput.matrix Source code
as.MLInput.recipe Source code
as.MLMetric Source code
as.MLMetric.MLMetric Source code
as.MLMetric.character Source code
as.MLMetric.default Source code
as.MLModel Man page Source code
as.MLModel.MLModel Source code
as.MLModel.MLModelFit Man page Source code
as.MLModel.MLModelFunction Source code
as.MLModel.ModelSpecification Man page Source code
as.MLModel.ModeledInput Source code
as.MLModel.NULL Source code
as.MLModel.character Source code
as.MLModel.default Source code
as.MLModel.model_spec Man page Source code
as.data.frame.BinomialVariate Source code
as.data.frame.ModelFrame Source code
as.data.frame.ModelRecipe Source code
as.data.frame.ModelSpecification Source code
as.data.frame.PerformanceDiffTest Source code
as.data.frame.Resample Source code
as.data.frame.SurvMatrix Source code
as.data.frame.TabularArray Source code
as.data.frame.formula Source code
as.double.BinomialVariate Source code
as_string Source code
as_string.character Source code
as_string.default Source code
attach_objects Source code
auc Man page Source code
bake.step_lincomp Source code
bake.step_sbf Source code
brier Man page Source code
c.BinomialVariate Source code
c.Calibration Man page Source code
c.ConfusionList Man page Source code
c.ConfusionMatrix Man page Source code
c.DiscreteVariate Source code
c.LiftCurve Man page Source code
c.ListOf Man page Source code
c.Performance Source code
c.PerformanceCurve Man page Source code
c.Resample Man page Source code
c.SurvMatrix Source code
c.SurvTimes Source code
calibration Man page Source code
call_metric_method Source code
case_comp_name Source code
case_comp_name.data.frame Source code
case_comp_name.recipe Source code
case_comps Source code
case_comps.MLModelFit Source code
case_comps.ModelFrame Source code
case_comps.recipe Source code
case_groups Source code
case_strata Source code
case_strata.BinomialVariate Source code
case_strata.ModelFrame Source code
case_strata.Surv Source code
case_strata.character Source code
case_strata.default Source code
case_strata.factor Source code
case_strata.logical Source code
case_strata.matrix Source code
case_strata.numeric Source code
case_strata.recipe Source code
case_weights Man page Source code
check_array Source code
check_assignment Source code
check_censoring Source code
check_character Source code
check_const_setting Source code
check_equal_weights Source code
check_grid Source code
check_integer Source code
check_logical Source code
check_match Source code
check_metric Source code
check_metrics Source code
check_numeric Source code
check_optim_bounds Source code
check_packages Source code
check_stat Source code
check_stats Source code
check_weights Source code
cindex Man page Source code
class1 Source code
combine Man page
combine_inputs Source code
combine_model_slots Source code
complete_subset Source code
confusion Man page Source code
controls Man page
convert_numeric Source code
cross_entropy Man page Source code
curves Man page
dep_modeledinput Source code
dependence Man page Source code
deprecated Man page
diff Man page
diff.MLModel Man page Source code
diff.Performance Man page Source code
diff.Resample Man page Source code
eval_fit Source code
event_time Source code
expand_model Man page Source code
expand_modelgrid Man page Source code
expand_modelgrid.MLModel Man page Source code
expand_modelgrid.MLModelFunction Man page Source code
expand_modelgrid.ModelFrame Man page Source code
expand_modelgrid.ModelSpecification Man page Source code
expand_modelgrid.formula Man page Source code
expand_modelgrid.matrix Man page Source code
expand_modelgrid.recipe Man page Source code
expand_params Man page Source code
expand_steps Man page Source code
extract Man page
f_score Man page Source code
fget Source code
fit Man page Source code
fit.MLModel Man page Source code
fit.MLModelFunction Man page Source code
fit.ModelFrame Man page Source code
fit.ModelSpecification Man page Source code
fit.formula Man page Source code
fit.matrix Man page Source code
fit.recipe Man page Source code
fnr Man page Source code
format.SurvMatrix Source code
format_len Source code
formula.ModelFrame Source code
formula.ModelTerms Source code
fpr Man page Source code
get0 Source code
get_curve_metrics Source code
get_grid Source code
get_grid.EnsembleInputOrModel Source code
get_grid.ModelSpecification Source code
get_grid.StackedModel Source code
get_grid.TunedModel Source code
get_grid.TunedModelRecipe Source code
get_grid.default Source code
get_optim_field Source code
get_perf_metrics Source code
get_surv_distr Source code
gini Man page Source code
grid_diff Source code
has_grid Source code
has_varimp Source code
hazfit_efron Source code
heading Source code
hline Source code
identical_elements Source code
inline_calls Source code
inputs Man page
is_counting Source code
is_empty Source code
is_one_element Source code
is_optim_method Source code
is_optim_method.MLInput Source code
is_optim_method.MLModel Source code
is_optim_method.MLOptimization Source code
is_optim_method.ModelSpecification Source code
is_optim_method.NullOptimization Source code
is_optim_method.TrainingParams Source code
is_optim_method.default Source code
is_response Source code
is_trained Source code
is_trained.MLModel Source code
is_trained.ModelRecipe Source code
is_trained.step Source code
kappa2 Man page Source code
lift Man page Source code
mae Man page Source code
make_grid Source code
make_id Source code
make_names_along Source code
make_names_len Source code
make_unique Source code
map Source code
map.character Source code
map.function Source code
map_slots Source code
match_class Source code
match_indices Source code
max.progress_index Source code
mean.EmpiricalSurv Source code
mean.SurvProbs Source code
mean.Weibull Source code
mean.survfit Source code
mean_stack_list Source code
metric_SurvMatrix Source code
metric_SurvTimes Source code
metric_matrix Source code
metric_method_name Source code
metricinfo Man page Source code
metrics Man page
midpoints Source code
missing_names Source code
model_formula Source code
modelinfo Man page Source code
models Man page
mse Man page Source code
msle Man page Source code
ndim Source code
nesting_level Source code
new_control Source code
new_gridinfo Source code
new_params Source code
new_print_progress Source code
new_progress_bar Source code
new_progress_index Source code
new_step_kmeans Source code
new_step_kmedoids Source code
new_step_lincomp Source code
new_step_sbf Source code
new_step_spca Source code
note_items Source code
npv Man page Source code
nvars Source code
optim Source code
performance Man page Source code
performance.BinomialVariate Man page Source code
performance.BootOptimismControl Source code
performance.CVOptimismControl Source code
performance.ConfusionList Man page Source code
performance.ConfusionMatrix Man page Source code
performance.MLControl Source code
performance.MLModel Man page Source code
performance.Resample Man page Source code
performance.Surv Man page Source code
performance.TrainingStep Man page Source code
performance.factor Man page Source code
performance.matrix Man page Source code
performance.numeric Man page Source code
performance_curve Man page Source code
performance_curve.Resample Man page Source code
performance_curve.default Man page Source code
permute_int Source code
plot Man page
plot.Calibration Man page Source code
plot.ConfusionList Man page Source code
plot.ConfusionMatrix Man page Source code
plot.LiftCurve Man page Source code
plot.MLModel Man page Source code
plot.PartialDependence Man page Source code
plot.Performance Man page Source code
plot.PerformanceCurve Man page Source code
plot.Resample Man page Source code
plot.TrainingStep Man page Source code
plot.VariableImportance Man page Source code
ppr Man page Source code
ppv Man page Source code
pr_auc Man page Source code
precision Man page Source code
predict Man page
predict,MLModelFit-method Man page
predict.EmpiricalSurv Source code
predict.MLModelFit Man page Source code
predict.Surv Source code
predict.SurvProbs Source code
predict.Weibull Source code
predict.survfit Source code
predictors Source code
predictors.ModelFrame Source code
predictors.formula Source code
predictors.recipe Source code
prep.step_lincomp Source code
prep.step_sbf Source code
print Man page
print.BinomialVariate Man page Source code
print.BootControl Source code
print.CVControl Source code
print.Calibration Man page Source code
print.ConfusionList Source code
print.ConfusionMatrix Source code
print.ConfusionSummary Source code
print.DiscreteVariate Man page Source code
print.EnsembleModel Source code
print.ListOf Man page Source code
print.MLControl Man page Source code
print.MLMetric Man page Source code
print.MLModel Man page Source code
print.MLModelFit Source code
print.MLModelFunction Man page Source code
print.MLOptimization Source code
print.ModelFrame Man page Source code
print.ModelRecipe Man page Source code
print.ModelSpecification Man page Source code
print.ModelTerms Source code
print.ModeledInput Source code
print.NullControl Source code
print.OOBControl Source code
print.ParameterGrid Source code
print.ParsnipModel Source code
print.Performance Man page Source code
print.PerformanceCurve Man page Source code
print.PerformanceDiffTest Source code
print.RandomGridSearch Source code
print.RecipeGrid Man page Source code
print.Resample Man page Source code
print.SelectedInput Source code
print.SequentialOptimization Source code
print.SplitControl Source code
print.SurvMatrix Man page Source code
print.SurvTimes Man page Source code
print.TabularArray Source code
print.TrainingParams Source code
print.TrainingStep Man page Source code
print.TunedInput Source code
print.TunedModel Source code
print.TuningGrid Source code
print.VariableImportance Man page Source code
print.step_lincomp Source code
print.step_sbf Source code
push Source code
push.TrainingStep Source code
quote Man page
r2 Man page Source code
rand_int Source code
random_grid Source code
recall Man page Source code
recipe_roles Man page
reexports Man page
regular_grid Source code
renest_params Source code
required_packages Source code
resample Man page Source code
resample.MLModel Man page Source code
resample.MLModelFunction Man page Source code
resample.ModelFrame Man page Source code
resample.ModelSpecification Man page Source code
resample.formula Man page Source code
resample.matrix Man page Source code
resample.recipe Man page Source code
response Man page Source code
response.MLModelFit Man page Source code
response.ModelFrame Man page Source code
response.ModelSpecification Man page Source code
response.formula Source code
response.recipe Man page Source code
rfe Man page Source code
rfe.MLModel Man page Source code
rfe.MLModelFunction Man page Source code
rfe.ModelFrame Man page Source code
rfe.ModelSpecification Man page Source code
rfe.formula Man page Source code
rfe.matrix Man page Source code
rfe.recipe Man page Source code
risksum Source code
rmse Man page Source code
rmsle Man page Source code
roc_auc Man page Source code
roc_index Man page Source code
role_binom Man page Source code
role_case Man page Source code
role_pred Man page Source code
role_surv Man page Source code
round_int Source code
rpp Man page Source code
sample_replace Source code
select_call Source code
sensitivity Man page Source code
seq_boot Source code
seq_inner Source code
seq_int Source code
seq_nvars Source code
seq_range Source code
setAsS3Part Source code
setMetricGeneric Source code
setMetricMethod Source code
setMetricMethod_BinomialVariate Source code
setMetricMethod_Resample Source code
setMetricMethod_Surv Source code
setMetricMethod_factor Source code
setMetricMethod_matrix Source code
setMetric_BinaryConfusionMatrix Source code
setMetric_ConfusionMatrix Source code
setMetric_OrderedConfusionMatrix Source code
setMetric_auc Source code
setMetric_numeric Source code
setShowDefault Source code
set_model_names Source code
set_monitor Man page Source code
set_monitor.MLControl Man page Source code
set_monitor.MLOptimization Man page Source code
set_monitor.ModelSpecification Man page Source code
set_monitor.TrainingParams Source code
set_monitor.list Source code
set_optim Man page
set_optim_bayes Man page Source code
set_optim_bayes.ModelSpecification Man page Source code
set_optim_bfgs Man page Source code
set_optim_bfgs.ModelSpecification Man page Source code
set_optim_grid Man page Source code
set_optim_grid.ModelSpecification Man page Source code
set_optim_grid.TrainingParams Man page Source code
set_optim_grid.TunedInput Man page Source code
set_optim_grid.TunedModel Man page Source code
set_optim_method Man page Source code
set_optim_method.ModelSpecification Man page Source code
set_optim_pso Man page Source code
set_optim_pso.ModelSpecification Man page Source code
set_optim_sann Man page Source code
set_optim_sann.ModelSpecification Man page Source code
set_predict Man page Source code
set_strata Man page Source code
settings Man page Source code
simplify Source code
size Source code
specificity Man page Source code
stepAIC_args Source code
step_kmeans Man page Source code
step_kmedoids Man page Source code
step_lincomp Man page Source code
step_sbf Man page Source code
step_spca Man page Source code
subset_names Source code
subset_selected Source code
summary Man page
summary.ConfusionList Man page Source code
summary.ConfusionMatrix Man page Source code
summary.MLModel Man page Source code
summary.MLModelFit Man page Source code
summary.Performance Man page Source code
summary.PerformanceCurve Man page Source code
summary.Resample Man page Source code
summary.SurvRegModelFit Source code
summary.TrainingStep Man page Source code
super_df Source code
surv_cases Source code
surv_fit Source code
surv_mean Source code
surv_subset Source code
survmetric_mean Source code
switch_class Source code
t.test Man page
t.test.PerformanceDiff Man page Source code
terms.formula Source code
terms.list Source code
throw Source code
tidy.step_kmeans Man page Source code
tidy.step_lincomp Man page Source code
tidy.step_sbf Man page Source code
time.MLModelFit Source code
time.StackedModelFit Source code
time.Surv Source code
tnr Man page Source code
tpr Man page Source code
tunable.step_kmeans Man page Source code
tunable.step_kmedoids Man page Source code
tunable.step_lincomp Man page Source code
tunable.step_spca Man page Source code
unMLModelFit Man page Source code
unique_grid Source code
unnest Source code
unnest_params Source code
update.MLInput Source code
update.MLModel Source code
update.MLModelFit Source code
update.ModelFrame Source code
update.ModelSpecification Source code
update.ParsnipModel Source code
update.SelectedInput Source code
update.SelectedModel Source code
update.TunedModel Source code
update.TunedModelRecipe Source code
update_slots Source code
varimp Man page Source code
varimp_permute Source code
varimp_pval Source code
varimp_pval.default Source code
varimp_pval.glm Source code
varimp_pval.lm Source code
varimp_pval.mlm Source code
varimp_pval.multinom Source code
varimp_pval.numeric Source code
vector_to_function Source code
weighted_kappa2 Man page Source code
weighted_mean Source code
weighted_sd Source code
MachineShop documentation built on June 3, 2022, 9:05 a.m.