examples

version=211

dataFiles=Validation/StrongSignal_Both.tsv.gz # Path to the input data file(s). Wildcards are allowed (surround by quotes). You can also specify multiple paths, separated by commas.
description=ValidationTest # A short description of the analysis
numIterations=10 # The number of Monte Carlo iterations
debug=false # Whether to show debug information
classifAlgos="AlgorithmScripts/Classification/arff/weka/Random*/default" # The algorithm(s) that should be executed (wildcards allowed)
outPredictionsFile="Validation/Test_Predictions.tsv" # Path to output file containing predictions (will be created)
outMetricsFile="Validation/Test_Metrics.tsv" # Path to output file containing performance metrics (will be created)
outBenchmarkFile="Validation/Test_Benchmark.tsv" # Path to output file containing benchmark results (will be created)
outLogFile="Validation/Test.log" # Path to output log file that will be created (will be created)

sudo docker run --rm -v $(pwd)/Validation:/Validation srp33/shinylearner:version${version} /UserScripts/classification_montecarlo "$dataFiles" "$description" "$numIterations" "$debug" "$classifAlgos" "$outPredictionsFile" "$outMetricsFile" "$outBenchmarkFile" "$outLogFile"