Description Usage Arguments Details Author(s) Examples
This function performs the training of the chosen classifier
1 2 3 4 |
df.train |
Training dataframe |
formula |
A formula of the form y ~ x1 + x2 + ... If users don't inform formula, the first column will be used as Y values and the others columns with x1,x2....xn |
preprocess |
pre process |
classifier |
Choice of classifier to be used to train model. Uses algortims names from Caret package. |
nfolds |
Number of folds to be build in crossvalidation |
repeats |
repeats |
index |
index |
cpu_cores |
Number of CPU cores to be used in parallel processing |
tune_length |
This argument is the number of levels for each tuning parameters that should be generated by train |
metric |
metric used to evaluate model fit. For numeric outcome ("RMSE", "Rsquared) |
seeds |
seeds seeds |
verbose |
verbose |
details
Elpidio Filho, elpidio@ufv.br
1 2 3 4 | ## Not run:
kappa_cv_evaluation(train,"rf",10,6)
## End(Not run)
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