Description Usage Arguments Details Value Examples
This function computes the duplicated rows attending to the method, problem and input parameters (but not the outputs). The resulting experiment will contain these duplicated rows.
1 | expGetDuplicated(e, tol = 1e-09)
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e |
The experiment to check for duplicated rows |
tol |
The tolerance for numeric values to check if two outputs are numerically equal or not. |
If duplicated rows show different outputs the function will launch a a warning message indicating how many of them differ in the outputs from the original row, the extent to what two rows are divergent in their output can be parametrized.
This function is useful to determine the consistency of the experiment, as a measure to sanitice the original data source if needed,
A new experiment containing the duplicated rows
1 2 3 4 5 6 7 8 | # We duplicate some of the rows of a given experiment:
e <- expCreate(wekaExperiment, parameters="fold", name="Test Experiment")
redundant <- expCreate(wekaExperiment[wekaExperiment$method=="NaiveBayes",],
parameters="fold", name="Test Experiment")
e2 <- expConcat(e,redundant)
# Now we check for duplicates:
expGetDuplicated(e2)
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