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caret (version 6.0-72)
Classification and Regression Training
Description
Misc functions for training and plotting classification and regression models.
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Install
install.packages('caret')
Monthly Downloads
160,352
Version
6.0-72
License
GPL (>= 2)
Issues
173
Pull Requests
6
Stars
1,586
Forks
630
Repository
https://github.com/topepo/caret/
Maintainer
Max Kuhn
Last Published
November 1st, 2016
Functions in caret (6.0-72)
Search functions
caret-internal
Internal Functions
caretSBF
Selection By Filtering (SBF) Helper Functions
calibration
Probability Calibration Plot
avNNet
Neural Networks Using Model Averaging
BoxCoxTrans
Box-Cox and Exponential Transformations
as.matrix.confusionMatrix
Confusion matrix as a table
pickSizeBest
Backwards Feature Selection Helper Functions
bagFDA
Bagged FDA
diff.resamples
Inferential Assessments About Model Performance
downSample
Down- and Up-Sampling Imbalanced Data
createDataPartition
Data Splitting functions
dotplot.diff.resamples
Lattice Functions for Visualizing Resampling Differences
dotPlot
Create a dotplot of variable importance values
densityplot.rfe
Lattice functions for plotting resampling results of recursive feature selection
classDist
Compute and predict the distances to class centroids
confusionMatrix.train
Estimate a Resampled Confusion Matrix
dummyVars
Create A Full Set of Dummy Variables
featurePlot
Wrapper for Lattice Plotting of Predictor Variables
gafs_initial
Ancillary genetic algorithm functions
histogram.train
Lattice functions for plotting resampling results
GermanCredit
German Credit Data
getSamplingInfo
Get sampling info from a train model
filterVarImp
Calculation of filter-based variable importance
findLinearCombos
Determine linear combinations in a matrix
gafs.default
Genetic algorithm feature selection
format.bagEarth
Format 'bagEarth' objects
icr.formula
Independent Component Regression
findCorrelation
Determine highly correlated variables
knn3
k-Nearest Neighbour Classification
lift
Lift Plot
modelLookup
Tools for Models Available in
train
knnreg
k-Nearest Neighbour Regression
index2vec
Convert indicies to a binary vector
maxDissim
Maximum Dissimilarity Sampling
learing_curve_dat
Create Data to Plot a Learning Curve
train_model_list
A List of Available Models in train
nearZeroVar
Identification of near zero variance predictors
nullModel
Fit a simple, non-informative model
ggplot.train
Plot Method for the train Class
plotClassProbs
Plot Predicted Probabilities in Classification Models
panel.needle
Needle Plot Lattice Panel
oneSE
Selecting tuning Parameters
plot.varImp.train
Plotting variable importance measures
panel.lift2
Lattice Panel Functions for Lift Plots
plot.gafs
Plot Method for the gafs and safs Classes
ggplot.rfe
Plot RFE Performance Profiles
pcaNNet
Neural Networks with a Principal Component Step
plotObsVsPred
Plot Observed versus Predicted Results in Regression and Classification Models
predict.knnreg
Predictions from k-Nearest Neighbors Regression Model
predict.knn3
Predictions from k-Nearest Neighbors
preProcess
Pre-Processing of Predictors
predict.gafs
Predict new samples
predictors
List predictors used in the model
predict.bagEarth
Predicted values based on bagged Earth and FDA models
extractPrediction
Extract predictions and class probabilities from train objects
print.confusionMatrix
Print method for confusionMatrix
plsda
Partial Least Squares and Sparse Partial Least Squares Discriminant Analysis
prcomp.resamples
Principal Components Analysis of Resampling Results
bagEarth
Bagged Earth
safs_initial
Ancillary simulated annealing functions
varImp.gafs
Variable importances for GAs and SAs
safs
Simulated annealing feature selection
var_seq
Sequences of Variables for Tuning
bag
A General Framework For Bagging
rfe
Backwards Feature Selection
rfeControl
Controlling the Feature Selection Algorithms
sbfControl
Control Object for Selection By Filtering (SBF)
spatialSign
Compute the multivariate spatial sign
varImp
Calculation of variable importance for regression and classification models
xyplot.resamples
Lattice Functions for Visualizing Resampling Results
resamples
Collation and Visualization of Resampling Results
resampleSummary
Summary of resampled performance estimates
print.train
Print Method for the train Class
resampleHist
Plot the resampling distribution of the model statistics
update.train
Update or Re-fit a Model
update.safs
Update or Re-fit a SA or GA Model
trainControl
Control parameters for train
SLC14_1
Simulation Functions
gafsControl
Control parameters for GA and SA feature selection
sbf
Selection By Filtering (SBF)
summary.bagEarth
Summarize a bagged earth or FDA fit
train
Fit Predictive Models over Different Tuning Parameters