caret v4.76

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by Max Kuhn

Classification and Regression Training

Misc functions for training and plotting classification and regression models

Functions in caret

Name Description
createDataPartition Data Splitting functions
diff.resamples Inferential Assessments About Model Performance
normalize.AffyBatch.normalize2Reference Quantile Normalization to a Reference Distribution
icr.formula Independent Component Regression
oil Fatty acid composition of commercial oils
postResample Calculates performance across resamples
classDist Compute and predict the distances to class centroids
knn3 k-Nearest Neighbour Classification
bagEarth Bagged Earth
bagFDA Bagged FDA
maxDissim Maximum Dissimilarity Sampling
plotClassProbs Plot Predicted Probabilities in Classification Models
as.table.confusionMatrix Save Confusion Table Results
filterVarImp Calculation of filter-based variable importance
GermanCredit German Credit Data
modelLookup Descriptions Of Models Available in train()
applyProcessing Data Processing on Predictor Variables (Deprecated)
caret-internal Internal Functions
bag.default A General Framework For Bagging
aucRoc Compute the area under an ROC curve
BloodBrain Blood Brain Barrier Data
xyplot.resamples Lattice Functions for Visualizing Resampling Results
confusionMatrix Create a confusion matrix
histogram.train Lattice functions for plotting resampling results
plot.varImp.train Plotting variable importance measures
plotObsVsPred Plot Observed versus Predicted Results in Regression and Classification Models
preProcess Pre-Processing of Predictors
prcomp.resamples Principal Components Analysis of Resampling Results
format.bagEarth Format 'bagEarth' objects
plot.train Plot Method for the train Class
lattice.rfe Lattice functions for plotting resampling results of recursive feature selection
nearZeroVar Identification of near zero variance predictors
resampleHist Plot the resampling distribution of the model statistics
pcaNNet.default Neural Networks with a Principal Component Step
createGrid Tuning Parameter Grid
print.confusionMatrix Print method for confusionMatrix
knnreg k-Nearest Neighbour Regression
mdrr Multidrug Resistance Reversal (MDRR) Agent Data
findLinearCombos Determine linear combinations in a matrix
dotPlot Create a dotplot of variable importance values
tecator Fat, Water and Protein Content of Meat Samples
dhfr Dihydrofolate Reductase Inhibitors Data
varImp Calculation of variable importance for regression and classification models
predictors List predictors used in the model
sensitivity Calculate sensitivity, specificity and predictive values
resamples Collation and Visualization of Resampling Results
predict.knn3 Predictions from k-Nearest Neighbors
sbfControl Control Object for Selection By Filtering (SBF)
sbf Selection By Filtering (SBF)
print.train Print Method for the train Class
dotplot.diff.resamples Lattice Functions for Visualizing Resampling Differences
summary.bagEarth Summarize a bagged earth or FDA fit
pottery Pottery from Pre-Classical Sites in Italy
cars Kelly Blue Book resale data for 2005 model year GM cars
train Fit Predictive Models over Different Tuning Parameters
predict.bagEarth Predicted values based on bagged Earth and FDA models
nullModel Fit a simple, non-informative model
oneSE Selecting tuning Parameters
trainControl Control parameters for train
caretSBF Selection By Filtering (SBF) Helper Functions
spatialSign Compute the multivariate spatial sign
predict.knnreg Predictions from k-Nearest Neighbors Regression Model
roc Compute the points for an ROC curve
resampleSummary Summary of resampled performance estimates
plsda Partial Least Squares and Sparse Partial Least Squares Discriminant Analysis
caretFuncs Backwards Feature Selection Helper Functions
panel.needle Needle Plot Lattice Panel
featurePlot Wrapper for Lattice Plotting of Predictor Variables
Alternate Affy Gene Expression Summary Methods. Generate Expression Values from Probes
segmentationData Cell Body Segmentation
rfeControl Controlling the Feature Selection Algorithms
findCorrelation Determine highly correlated variables
rfe Backwards Feature Selection
normalize2Reference Quantile Normalize Columns of a Matrix Based on a Reference Distribution
cox2 COX-2 Activity Data
dummyVars Create A Full Set of Dummy Variables
predict.train Extract predictions and class probabilities from train objects
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