A docker image for running MINE.
The maximal information coefficient (MIC) is a measure of two-variable dependence designed specifically for rapid exploration of many-dimensional data sets. MIC is part of a larger family of maximal information-based nonparametric exploration (MINE) statistics, which can be used not only to identify important relationships in data sets but also to characterize them.
|CONT_INPUT_CSV_FILE||CSV file containing the data||Input||Yes|
|CONT_OUTPUT_RESULTS_CSV_FILE||Results in CSV format||Output||Yes|
|CONT_INPUT_COMPARE_STYLE||variables to compare||Parameter||No||-allPairs|
|CONT_INPUT_CV||% which need data for both variables before variables are compared||Parameter||No||0|
|CONT_INPUT_EXP||The exponent in the equation B(n) = nα||Parameter||No||0.6|