Description Usage Arguments Value Author(s) Examples
View source: R/selectIndividualFeatures.R
Generates a direct search function that selects the features whose evaluation is over a threshold, where this threshold is given as: (((min - max) * p.threshold) + max)(The features evaluation is individual). This function is called internally within the directSearchAlgorithm
function.
1 | selectThresholdRange(p.threshold = 0.8)
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p.threshold |
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Returns a direct search function that is used in the feature selection process.
Adan M. Rodriguez
Francisco Aragón Royón
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | ## Not run:
## The direct application of this function is an advanced use that consists of using this
# function directly and performing a direct search process
## Classification problem
# Generates the filter evaluation function
filter_evaluator <- filterEvaluator('determinationCoefficient')
# Generates the direct search function with threshold range
str_direct_search <- selectThresholdRange()
# Performs the direct search process directly (parameters: dataset, target variable and evaluator)
str_direct_search(iris, 'Species', filter_evaluator)
## End(Not run)
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