Machine Learning Models and Tools

Documentation for package ‘MachineShop’ version 3.7.0

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A B C D E F G I K L M N O P Q R S T U V W X misc

MachineShop: Machine Learning Models and Tools

-- A --

accuracy	Performance Metrics
AdaBagModel	Bagging with Classification Trees
AdaBoostModel	Boosting with Classification Trees
as.data.frame	Coerce to a Data Frame
as.data.frame.ModelFrame	Coerce to a Data Frame
as.data.frame.Resample	Coerce to a Data Frame
as.data.frame.TabularArray	Coerce to a Data Frame
as.MLInput	Coerce to an MLInput
as.MLInput.MLModelFit	Coerce to an MLInput
as.MLInput.ModelSpecification	Coerce to an MLInput
as.MLModel	Coerce to an MLModel
as.MLModel.MLModelFit	Coerce to an MLModel
as.MLModel.ModelSpecification	Coerce to an MLModel
as.MLModel.model_spec	Coerce to an MLModel
auc	Performance Metrics

-- B --

BARTMachineModel	Bayesian Additive Regression Trees Model
BARTModel	Bayesian Additive Regression Trees Model
BinomialVariate	Discrete Variate Constructors
BlackBoostModel	Gradient Boosting with Regression Trees
BootControl	Resampling Controls
BootOptimismControl	Resampling Controls
brier	Performance Metrics

-- C --

c	Combine MachineShop Objects
c.Calibration	Combine MachineShop Objects
c.ConfusionList	Combine MachineShop Objects
c.ConfusionMatrix	Combine MachineShop Objects
c.LiftCurve	Combine MachineShop Objects
c.ListOf	Combine MachineShop Objects
c.PerformanceCurve	Combine MachineShop Objects
c.Resample	Combine MachineShop Objects
C50Model	C5.0 Decision Trees and Rule-Based Model
calibration	Model Calibration
case_weights	Extract Case Weights
CForestModel	Conditional Random Forest Model
cindex	Performance Metrics
combine	Combine MachineShop Objects
confusion	Confusion Matrix
ConfusionMatrix	Confusion Matrix
controls	Resampling Controls
CoxModel	Proportional Hazards Regression Model
CoxStepAICModel	Proportional Hazards Regression Model
cross_entropy	Performance Metrics
curves	Model Performance Curves
CVControl	Resampling Controls
CVOptimismControl	Resampling Controls

-- D --

dependence	Partial Dependence
diff	Model Performance Differences
diff.MLModel	Model Performance Differences
diff.Performance	Model Performance Differences
diff.Resample	Model Performance Differences
DiscreteVariate	Discrete Variate Constructors

-- E --

EarthModel	Multivariate Adaptive Regression Splines Model
expand_model	Model Expansion Over Tuning Parameters
expand_modelgrid	Model Tuning Grid Expansion
expand_modelgrid.formula	Model Tuning Grid Expansion
expand_modelgrid.matrix	Model Tuning Grid Expansion
expand_modelgrid.MLModel	Model Tuning Grid Expansion
expand_modelgrid.MLModelFunction	Model Tuning Grid Expansion
expand_modelgrid.ModelFrame	Model Tuning Grid Expansion
expand_modelgrid.ModelSpecification	Model Tuning Grid Expansion
expand_modelgrid.recipe	Model Tuning Grid Expansion
expand_params	Model Parameters Expansion
expand_steps	Recipe Step Parameters Expansion
extract	Extract Elements of an Object

-- F --

FDAModel	Flexible and Penalized Discriminant Analysis Models
fit	Model Fitting
fit.formula	Model Fitting
fit.matrix	Model Fitting
fit.MLModel	Model Fitting
fit.MLModelFunction	Model Fitting
fit.ModelFrame	Model Fitting
fit.ModelSpecification	Model Fitting
fit.recipe	Model Fitting
fnr	Performance Metrics
fpr	Performance Metrics
f_score	Performance Metrics

-- G --

GAMBoostModel	Gradient Boosting with Additive Models
GBMModel	Generalized Boosted Regression Model
gini	Performance Metrics
GLMBoostModel	Gradient Boosting with Linear Models
GLMModel	Generalized Linear Model
GLMNetModel	GLM Lasso or Elasticnet Model
GLMStepAICModel	Generalized Linear Model

-- I --

ICHomes	Iowa City Home Sales Dataset
inputs	Model Inputs

-- K --

kappa2	Performance Metrics
KNNModel	Weighted k-Nearest Neighbor Model

-- L --

LARSModel	Least Angle Regression, Lasso and Infinitesimal Forward Stagewise Models
LDAModel	Linear Discriminant Analysis Model
lift	Model Lift Curves
LMModel	Linear Models

-- M --

MachineShop	MachineShop: Machine Learning Models and Tools
mae	Performance Metrics
MDAModel	Mixture Discriminant Analysis Model
metricinfo	Display Performance Metric Information
metrics	Performance Metrics
MLControl	Resampling Controls
MLMetric	MLMetric Class Constructor
MLMetric<-	MLMetric Class Constructor
MLModel	MLModel and MLModelFunction Class Constructors
MLModelFunction	MLModel and MLModelFunction Class Constructors
ModelFrame	ModelFrame Class
ModelFrame.formula	ModelFrame Class
ModelFrame.matrix	ModelFrame Class
modelinfo	Display Model Information
models	Models
ModelSpecification	Model Specification
ModelSpecification.default	Model Specification
ModelSpecification.formula	Model Specification
ModelSpecification.matrix	Model Specification
ModelSpecification.ModelFrame	Model Specification
ModelSpecification.recipe	Model Specification
mse	Performance Metrics
msle	Performance Metrics

-- N --

NaiveBayesModel	Naive Bayes Classifier Model
NegBinomialVariate	Discrete Variate Constructors
NNetModel	Neural Network Model
npv	Performance Metrics

-- O --

OOBControl

Resampling Controls

-- P --

ParameterGrid	Tuning Parameters Grid
ParameterGrid.list	Tuning Parameters Grid
ParameterGrid.param	Tuning Parameters Grid
ParameterGrid.parameters	Tuning Parameters Grid
ParsnipModel	Parsnip Model
PDAModel	Flexible and Penalized Discriminant Analysis Models
performance	Model Performance Metrics
performance.BinomialVariate	Model Performance Metrics
performance.ConfusionList	Model Performance Metrics
performance.ConfusionMatrix	Model Performance Metrics
performance.factor	Model Performance Metrics
performance.matrix	Model Performance Metrics
performance.MLModel	Model Performance Metrics
performance.numeric	Model Performance Metrics
performance.Resample	Model Performance Metrics
performance.Surv	Model Performance Metrics
performance.TrainingStep	Model Performance Metrics
performance_curve	Model Performance Curves
performance_curve.default	Model Performance Curves
performance_curve.Resample	Model Performance Curves
plot	Model Performance Plots
plot.Calibration	Model Performance Plots
plot.ConfusionList	Model Performance Plots
plot.ConfusionMatrix	Model Performance Plots
plot.LiftCurve	Model Performance Plots
plot.MLModel	Model Performance Plots
plot.PartialDependence	Model Performance Plots
plot.Performance	Model Performance Plots
plot.PerformanceCurve	Model Performance Plots
plot.Resample	Model Performance Plots
plot.TrainingStep	Model Performance Plots
plot.VariableImportance	Model Performance Plots
PLSModel	Partial Least Squares Model
PoissonVariate	Discrete Variate Constructors
POLRModel	Ordered Logistic or Probit Regression Model
ppr	Performance Metrics
ppv	Performance Metrics
precision	Performance Metrics
predict	Model Prediction
predict-method	Model Prediction
predict.MLModelFit	Model Prediction
print	Print MachineShop Objects
print.BinomialVariate	Print MachineShop Objects
print.Calibration	Print MachineShop Objects
print.DiscreteVariate	Print MachineShop Objects
print.ListOf	Print MachineShop Objects
print.MLControl	Print MachineShop Objects
print.MLMetric	Print MachineShop Objects
print.MLModel	Print MachineShop Objects
print.MLModelFunction	Print MachineShop Objects
print.ModelFrame	Print MachineShop Objects
print.ModelRecipe	Print MachineShop Objects
print.ModelSpecification	Print MachineShop Objects
print.Performance	Print MachineShop Objects
print.PerformanceCurve	Print MachineShop Objects
print.RecipeGrid	Print MachineShop Objects
print.Resample	Print MachineShop Objects
print.SurvMatrix	Print MachineShop Objects
print.SurvTimes	Print MachineShop Objects
print.TrainingStep	Print MachineShop Objects
print.VariableImportance	Print MachineShop Objects
pr_auc	Performance Metrics

-- Q --

QDAModel	Quadratic Discriminant Analysis Model
quote	Quote Operator

-- R --

r2	Performance Metrics
RandomForestModel	Random Forest Model
RangerModel	Fast Random Forest Model
recall	Performance Metrics
recipe_roles	Set Recipe Roles
resample	Resample Estimation of Model Performance
resample.formula	Resample Estimation of Model Performance
resample.matrix	Resample Estimation of Model Performance
resample.MLModel	Resample Estimation of Model Performance
resample.MLModelFunction	Resample Estimation of Model Performance
resample.ModelFrame	Resample Estimation of Model Performance
resample.ModelSpecification	Resample Estimation of Model Performance
resample.recipe	Resample Estimation of Model Performance
response	Extract Response Variable
response.MLModelFit	Extract Response Variable
response.ModelFrame	Extract Response Variable
response.ModelSpecification	Extract Response Variable
response.recipe	Extract Response Variable
rfe	Recursive Feature Elimination
rfe.formula	Recursive Feature Elimination
rfe.matrix	Recursive Feature Elimination
rfe.MLModel	Recursive Feature Elimination
rfe.MLModelFunction	Recursive Feature Elimination
rfe.ModelFrame	Recursive Feature Elimination
rfe.ModelSpecification	Recursive Feature Elimination
rfe.recipe	Recursive Feature Elimination
RFSRCFastModel	Fast Random Forest (SRC) Model
RFSRCModel	Fast Random Forest (SRC) Model
rmse	Performance Metrics
rmsle	Performance Metrics
roc_auc	Performance Metrics
roc_index	Performance Metrics
role_binom	Set Recipe Roles
role_case	Set Recipe Roles
role_pred	Set Recipe Roles
role_surv	Set Recipe Roles
RPartModel	Recursive Partitioning and Regression Tree Models

-- S --

SelectedInput	Selected Model Inputs
SelectedInput.formula	Selected Model Inputs
SelectedInput.list	Selected Model Inputs
SelectedInput.matrix	Selected Model Inputs
SelectedInput.ModelFrame	Selected Model Inputs
SelectedInput.ModelSpecification	Selected Model Inputs
SelectedInput.recipe	Selected Model Inputs
SelectedModel	Selected Model
SelectedModel.default	Selected Model
SelectedModel.list	Selected Model
SelectedModel.ModelSpecification	Selected Model
SelectedModelFrame	Selected Model Inputs
SelectedModelRecipe	Selected Model Inputs
SelectedModelSpecification	Selected Model Inputs
sensitivity	Performance Metrics
settings	MachineShop Settings
set_monitor	Training Parameters Monitoring Control
set_monitor.MLControl	Training Parameters Monitoring Control
set_monitor.MLOptimization	Training Parameters Monitoring Control
set_monitor.ModelSpecification	Training Parameters Monitoring Control
set_optim	Tuning Parameter Optimization
set_optim_bayes	Tuning Parameter Optimization
set_optim_bayes.ModelSpecification	Tuning Parameter Optimization
set_optim_bfgs	Tuning Parameter Optimization
set_optim_bfgs.ModelSpecification	Tuning Parameter Optimization
set_optim_grid	Tuning Parameter Optimization
set_optim_grid.ModelSpecification	Tuning Parameter Optimization
set_optim_grid.TrainingParams	Tuning Parameter Optimization
set_optim_grid.TunedInput	Tuning Parameter Optimization
set_optim_grid.TunedModel	Tuning Parameter Optimization
set_optim_method	Tuning Parameter Optimization
set_optim_method.ModelSpecification	Tuning Parameter Optimization
set_optim_pso	Tuning Parameter Optimization
set_optim_pso.ModelSpecification	Tuning Parameter Optimization
set_optim_sann	Tuning Parameter Optimization
set_optim_sann.ModelSpecification	Tuning Parameter Optimization
set_predict	Resampling Prediction Control
set_strata	Resampling Stratification Control
specificity	Performance Metrics
SplitControl	Resampling Controls
StackedModel	Stacked Regression Model
step_kmeans	K-Means Clustering Variable Reduction
step_kmedoids	K-Medoids Clustering Variable Selection
step_lincomp	Linear Components Variable Reduction
step_sbf	Variable Selection by Filtering
step_spca	Sparse Principal Components Analysis Variable Reduction
summary	Model Performance Summaries
summary.ConfusionList	Model Performance Summaries
summary.ConfusionMatrix	Model Performance Summaries
summary.MLModel	Model Performance Summaries
summary.MLModelFit	Model Performance Summaries
summary.Performance	Model Performance Summaries
summary.PerformanceCurve	Model Performance Summaries
summary.Resample	Model Performance Summaries
summary.TrainingStep	Model Performance Summaries
SuperModel	Super Learner Model
SurvEvents	SurvMatrix Class Constructors
SurvMatrix	SurvMatrix Class Constructors
SurvProbs	SurvMatrix Class Constructors
SurvRegModel	Parametric Survival Model
SurvRegStepAICModel	Parametric Survival Model
SVMANOVAModel	Support Vector Machine Models
SVMBesselModel	Support Vector Machine Models
SVMLaplaceModel	Support Vector Machine Models
SVMLinearModel	Support Vector Machine Models
SVMModel	Support Vector Machine Models
SVMPolyModel	Support Vector Machine Models
SVMRadialModel	Support Vector Machine Models
SVMSplineModel	Support Vector Machine Models
SVMTanhModel	Support Vector Machine Models

-- T --

t.test	Paired t-Tests for Model Comparisons
t.test.PerformanceDiff	Paired t-Tests for Model Comparisons
tidy.step_kmeans	K-Means Clustering Variable Reduction
tidy.step_lincomp	Linear Components Variable Reduction
tidy.step_sbf	Variable Selection by Filtering
tnr	Performance Metrics
tpr	Performance Metrics
TrainControl	Resampling Controls
TreeModel	Classification and Regression Tree Models
tunable.step_kmeans	K-Means Clustering Variable Reduction
tunable.step_kmedoids	K-Medoids Clustering Variable Selection
tunable.step_lincomp	Linear Components Variable Reduction
tunable.step_spca	Sparse Principal Components Analysis Variable Reduction
TunedInput	Tuned Model Inputs
TunedInput.recipe	Tuned Model Inputs
TunedModel	Tuned Model
TunedModelRecipe	Tuned Model Inputs
TuningGrid	Tuning Grid Control

-- U --

unMLModelFit

Revert an MLModelFit Object

-- V --

varimp

Variable Importance

-- W --

weighted_kappa2

Performance Metrics

-- X --

XGBDARTModel	Extreme Gradient Boosting Models
XGBLinearModel	Extreme Gradient Boosting Models
XGBModel	Extreme Gradient Boosting Models
XGBTreeModel	Extreme Gradient Boosting Models

-- misc --

+-method	Combine MachineShop Objects
.	Quote Operator
[-method	Extract Elements of an Object
[.BinomialVariate	Extract Elements of an Object