thresholds: A class to handle the thresholds to be tested during training of the Nearest Shrunken Centroid
The Nearest Shrunken Centroid is computed using a threshold. This threshold is usually determined by finding the best threshold value over a set of values by finding the threshold leading to the best error rate assessed by cross-validation. This class stores the values of thresholds to be tried. If the user wants to use default values it's also possible.
Create an empty thresholds. The default thresholds values will be computed and this object updated as soon as it is linked in an assessment.
Create a thresholds, containing the thresholds values defined by
optionValues. The slot
noOfOptions is automatically updated.
numericValues of the thresholds, if
optionValueshas length zero then the default thresholds values must be used.
numericNumber of thresholds.
Retreive the number of the thresholds (slot noOfOptions)
Retreive and modify the values of the thresholds (slot optionValues)
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
# Empty thresholds, the default values will be used when added to an assessment emptThresholds <- new("thresholds") getOptionValues(emptThresholds) getNoThresholds(emptThresholds) # Another thresholds thresholds <- new("thresholds", optionValues=c(0,0.1,0.2,1,2)) getOptionValues(thresholds) getNoThresholds(thresholds) # Set the thresholds newThresholds <- c(0.1,0.2,0.5,0.6,1) getOptionValues(thresholds) <- newThresholds getOptionValues(thresholds) getNoThresholds(thresholds)
Want to suggest features or report bugs for rdrr.io? Use the GitHub issue tracker.