caret v6.0-80


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Classification and Regression Training

Misc functions for training and plotting classification and regression models.

Functions in caret

Name Description
cars Kelly Blue Book resale data for 2005 model year GM cars
dhfr Dihydrofolate Reductase Inhibitors Data
gafs_initial Ancillary genetic algorithm functions
densityplot.rfe Lattice functions for plotting resampling results of recursive feature selection
getSamplingInfo Get sampling info from a train model
recall Calculate recall, precision and F values
print.train Print Method for the train Class
print.confusionMatrix Print method for confusionMatrix
plot.varImp.train Plotting variable importance measures
lift Lift Plot
predictors List predictors used in the model
findLinearCombos Determine linear combinations in a matrix
maxDissim Maximum Dissimilarity Sampling
findCorrelation Determine highly correlated variables
histogram.train Lattice functions for plotting resampling results
ggplot.train Plot Method for the train Class
nearZeroVar Identification of near zero variance predictors
icr.formula Independent Component Regression
plot.gafs Plot Method for the gafs and safs Classes
train_model_list A List of Available Models in train
downSample Down- and Up-Sampling Imbalanced Data
featurePlot Wrapper for Lattice Plotting of Predictor Variables
diff.resamples Inferential Assessments About Model Performance
predict.gafs Predict new samples
filterVarImp Calculation of filter-based variable importance
thresholder Generate Data to Choose a Probability Threshold
dummyVars Create A Full Set of Dummy Variables
format.bagEarth Format 'bagEarth' objects
gafs.default Genetic algorithm feature selection
nullModel Fit a simple, non-informative model
dotplot.diff.resamples Lattice Functions for Visualizing Resampling Differences
knnreg k-Nearest Neighbour Regression
oil Fatty acid composition of commercial oils
knn3 k-Nearest Neighbour Classification
dotPlot Create a dotplot of variable importance values
learing_curve_dat Create Data to Plot a Learning Curve
index2vec Convert indicies to a binary vector
oneSE Selecting tuning Parameters
train Fit Predictive Models over Different Tuning Parameters
mdrr Multidrug Resistance Reversal (MDRR) Agent Data
ggplot.rfe Plot RFE Performance Profiles
modelLookup Tools for Models Available in train
pottery Pottery from Pre-Classical Sites in Italy
plotClassProbs Plot Predicted Probabilities in Classification Models
pcaNNet Neural Networks with a Principal Component Step
preProcess Pre-Processing of Predictors
predict.knn3 Predictions from k-Nearest Neighbors
varImp.gafs Variable importances for GAs and SAs
predict.bagEarth Predicted values based on bagged Earth and FDA models
panel.lift2 Lattice Panel Functions for Lift Plots
varImp Calculation of variable importance for regression and classification models
panel.needle Needle Plot Lattice Panel
plsda Partial Least Squares and Sparse Partial Least Squares Discriminant Analysis
summary.bagEarth Summarize a bagged earth or FDA fit
resampleHist Plot the resampling distribution of the model statistics
defaultSummary Calculates performance across resamples
tecator Fat, Water and Protein Content of Meat Samples
plotObsVsPred Plot Observed versus Predicted Results in Regression and Classification Models
predict.knnreg Predictions from k-Nearest Neighbors Regression Model
extractPrediction Extract predictions and class probabilities from train objects
update.safs Update or Re-fit a SA or GA Model
safs Simulated annealing feature selection
rfeControl Controlling the Feature Selection Algorithms
resamples Collation and Visualization of Resampling Results
update.train Update or Re-fit a Model
negPredValue Calculate sensitivity, specificity and predictive values
prcomp.resamples Principal Components Analysis of Resampling Results
resampleSummary Summary of resampled performance estimates
segmentationData Cell Body Segmentation
safs_initial Ancillary simulated annealing functions
scat Morphometric Data on Scat
gafsControl Control parameters for GA and SA feature selection
spatialSign Compute the multivariate spatial sign
rfe Backwards Feature Selection
sbf Selection By Filtering (SBF)
sbfControl Control Object for Selection By Filtering (SBF)
var_seq Sequences of Variables for Tuning
xyplot.resamples Lattice Functions for Visualizing Resampling Results
trainControl Control parameters for train
SLC14_1 Simulation Functions
createDataPartition Data Splitting functions
bag A General Framework For Bagging
as.matrix.confusionMatrix Confusion matrix as a table
bagFDA Bagged FDA
avNNet Neural Networks Using Model Averaging
classDist Compute and predict the distances to class centroids
calibration Probability Calibration Plot
caret-internal Internal Functions
BloodBrain Blood Brain Barrier Data
pickSizeBest Backwards Feature Selection Helper Functions
confusionMatrix Create a confusion matrix
BoxCoxTrans Box-Cox and Exponential Transformations
bagEarth Bagged Earth
caretSBF Selection By Filtering (SBF) Helper Functions
GermanCredit German Credit Data
Sacramento Sacramento CA Home Prices
confusionMatrix.train Estimate a Resampled Confusion Matrix
cox2 COX-2 Activity Data
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