A B C D E F G K L M N O P Q R S T V W X misc
MachineShop-package | MachineShop: Machine Learning Models and Tools |
accuracy | Performance Metrics |
AdaBagModel | Bagging with Classification Trees |
AdaBoostModel | Boosting with Classification Trees |
auc | Performance Metrics |
BARTMachineModel | Bayesian Additive Regression Trees Model |
BARTModel | Bayesian Additive Regression Trees Model |
BlackBoostModel | Gradient Boosting with Regression Trees |
BootControl | Resampling Controls |
brier | Performance Metrics |
C50Model | C5.0 Decision Trees and Rule-Based Model |
Calibration | Model Calibration |
calibration | Model Calibration |
CForestModel | Conditional Random Forest Model |
cindex | Performance Metrics |
Confusion | Confusion Matrix |
confusion | Confusion Matrix |
CoxModel | Proportional Hazards Regression Model |
CoxStepAICModel | Proportional Hazards Regression Model |
cross_entropy | Performance Metrics |
Curves | Performance Curves |
CVControl | Resampling Controls |
dependence | Partial Dependence |
diff | Model Performance Differences |
diff.MLModelTune | Model Performance Differences |
diff.Performance | Model Performance Differences |
diff.Resamples | Model Performance Differences |
EarthModel | Multivariate Adaptive Regression Splines Model |
expand.model | Model Expansion Over a Grid of Tuning Parameters |
FDAModel | Flexible and Penalized Discriminant Analysis Models |
fit | Model Fitting |
fit.formula | Model Fitting |
fit.ModelFrame | Model Fitting |
fit.recipe | Model Fitting |
fnr | Performance Metrics |
fpr | Performance Metrics |
f_score | Performance Metrics |
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 |
Grid | Tuning Grid Control |
kappa2 | Performance Metrics |
KNNModel | Weighted k-Nearest Neighbor Model |
LARSModel | Least Angle Regression, Lasso and Infinitesimal Forward Stagewise Models |
LDAModel | Linear Discriminant Analysis Model |
Lift | Model Lift |
lift | Model Lift |
LMModel | Linear Models |
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 Class Constructor |
ModelFrame | ModelFrame Class |
ModelFrame.formula | ModelFrame Class |
ModelFrame.matrix | ModelFrame Class |
modelinfo | Display Model Information |
mse | Performance Metrics |
msle | Performance Metrics |
NaiveBayesModel | Naive Bayes Classifier Model |
NNetModel | Neural Network Model |
npv | Performance Metrics |
OOBControl | Resampling Controls |
PDAModel | Flexible and Penalized Discriminant Analysis Models |
performance | Model Performance Metrics |
performance.Confusion | Model Performance Metrics |
performance.ConfusionMatrix | Model Performance Metrics |
performance.factor | Model Performance Metrics |
performance.matrix | Model Performance Metrics |
performance.numeric | Model Performance Metrics |
performance.Resamples | Model Performance Metrics |
performance.Surv | Model Performance Metrics |
performance_curve | Performance Curves |
performance_curve.default | Performance Curves |
performance_curve.Resamples | Performance Curves |
plot | Model Performance Plots |
plot.Calibration | Model Performance Plots |
plot.Confusion | Model Performance Plots |
plot.ConfusionMatrix | Model Performance Plots |
plot.Curves | Model Performance Plots |
plot.Lift | Model Performance Plots |
plot.MLModelTune | Model Performance Plots |
plot.PartialDependence | Model Performance Plots |
plot.Performance | Model Performance Plots |
plot.Resamples | Model Performance Plots |
plot.VarImp | Model Performance Plots |
PLSModel | Partial Least Squares Model |
POLRModel | Ordered Logistic or Probit Regression Model |
ppv | Performance Metrics |
precision | Performance Metrics |
predict | Model Prediction |
predict.MLModelFit | Model Prediction |
pr_auc | Performance Metrics |
QDAModel | Quadratic Discriminant Analysis Model |
r2 | Performance Metrics |
RandomForestModel | Random Forest Model |
RangerModel | Fast Random Forest Model |
recall | Performance Metrics |
resample | Resample Estimation of Model Performance |
resample.formula | Resample Estimation of Model Performance |
resample.ModelFrame | Resample Estimation of Model Performance |
resample.recipe | Resample Estimation of Model Performance |
Resamples | Resample Estimation of Model Performance |
response | Extract Response Variable |
response.formula | Extract Response Variable |
response.recipe | Extract Response Variable |
rmse | Performance Metrics |
rmsle | Performance Metrics |
roc_auc | Performance Metrics |
roc_index | Performance Metrics |
RPartModel | Recursive Partitioning and Regression Tree Models |
rpp | Performance Metrics |
sensitivity | Performance Metrics |
specificity | Performance Metrics |
SplitControl | Resampling Controls |
StackedModel | Stacked Regression Model |
summary | Model Performance Summary |
summary.Confusion | Model Performance Summary |
summary.ConfusionMatrix | Model Performance Summary |
summary.Curves | Model Performance Summary |
summary.MLModelTune | Model Performance Summary |
summary.Performance | Model Performance Summary |
summary.Resamples | Model Performance Summary |
SuperModel | Super Learner Model |
SurvEvents | SurvMatrix Class Constructor |
SurvMatrix | SurvMatrix Class Constructor |
SurvMatrix,ANY,ANY,ANY | SurvMatrix Class Constructor |
SurvProbs | SurvMatrix Class Constructor |
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.test | Paired t-Tests for Model Comparisons |
t.test.PerformanceDiff | Paired t-Tests for Model Comparisons |
tnr | Performance Metrics |
tpr | Performance Metrics |
TrainControl | Resampling Controls |
TreeModel | Classification and Regression Tree Models |
tune | Model Tuning and Selection |
tune.formula | Model Tuning and Selection |
tune.ModelFrame | Model Tuning and Selection |
tune.recipe | Model Tuning and Selection |
varimp | Variable Importance |
weighted_kappa2 | Performance Metrics |
XGBDARTModel | Extreme Gradient Boosting Models |
XGBLinearModel | Extreme Gradient Boosting Models |
XGBModel | Extreme Gradient Boosting Models |
XGBTreeModel | Extreme Gradient Boosting Models |
. | Quote Operator |
[-method | SurvMatrix Class Constructor |