phad-c32.py
def main():
    """Run the PHAD-C32 experiment."""
    trainData = _parseTrainingData()
    # Clustering header data
    clusters = _clusterTraining(trainData)
    del trainData

    testData = _parseTestingData()
    results = _runScoring(clusters, testData)
    del testData
    _outputToCSV(results, "data/phad_results.csv", threshold=0.5)
Run the PHAD-C32 experiment.
Run the PHAD-C32 experiment.
Run the PHAD - C32 experiment .
def main():
    trainData = _parseTrainingData()
    clusters = _clusterTraining(trainData)
    del trainData
    testData = _parseTestingData()
    results = _runScoring(clusters, testData)
    del testData
    _outputToCSV(results, "data/phad_results.csv", threshold=0.5)
def main ( ) : trainData = _parseTrainingData ( ) clusters = _clusterTraining ( trainData ) del trainData testData = _parseTestingData ( ) results = _runScoring ( clusters , testData ) del testData _outputToCSV ( results , "data/phad_results.csv" , threshold = 0.5 )
Run the PHAD-C32 experiment.
Run the PHAD - C32 experiment .
"""Run the PHAD-C32 experiment.""" # Clustering header data