caret v6.0-81


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Classification and Regression Training

Misc functions for training and plotting classification and regression models.

Functions in caret

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