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caret (version 6.0-94)

Classification and Regression Training

Description

Misc functions for training and plotting classification and regression models.

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install.packages('caret')

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148,125

Version

6.0-94

License

GPL (>= 2)

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Last Published

March 21st, 2023

Functions in caret (6.0-94)

as.matrix.confusionMatrix

Confusion matrix as a table
Sacramento

Sacramento CA Home Prices
GermanCredit

German Credit Data
BoxCoxTrans

Box-Cox and Exponential Transformations
BloodBrain

Blood Brain Barrier Data
avNNet

Neural Networks Using Model Averaging
calibration

Probability Calibration Plot
bagEarth

Bagged Earth
bagFDA

Bagged FDA
bag

A General Framework For Bagging
confusionMatrix.train

Estimate a Resampled Confusion Matrix
classDist

Compute and predict the distances to class centroids
caret-internal

Internal Functions
densityplot.rfe

Lattice functions for plotting resampling results of recursive feature selection
cox2

COX-2 Activity Data
caretSBF

Selection By Filtering (SBF) Helper Functions
confusionMatrix

Create a confusion matrix
createDataPartition

Data Splitting functions
pickSizeBest

Backwards Feature Selection Helper Functions
featurePlot

Wrapper for Lattice Plotting of Predictor Variables
findCorrelation

Determine highly correlated variables
dotplot.diff.resamples

Lattice Functions for Visualizing Resampling Differences
dummyVars

Create A Full Set of Dummy Variables
filterVarImp

Calculation of filter-based variable importance
dotPlot

Create a dotplot of variable importance values
downSample

Down- and Up-Sampling Imbalanced Data
diff.resamples

Inferential Assessments About Model Performance
findLinearCombos

Determine linear combinations in a matrix
cars

Kelly Blue Book resale data for 2005 model year GM cars
dhfr

Dihydrofolate Reductase Inhibitors Data
index2vec

Convert indicies to a binary vector
getSamplingInfo

Get sampling info from a train model
icr.formula

Independent Component Regression
knn3

k-Nearest Neighbour Classification
format.bagEarth

Format 'bagEarth' objects
gafs.default

Genetic algorithm feature selection
knnreg

k-Nearest Neighbour Regression
gafs_initial

Ancillary genetic algorithm functions
histogram.train

Lattice functions for plotting resampling results
learning_curve_dat

Create Data to Plot a Learning Curve