def __init__()

in causalml/inference/tree/uplift.pyx [0:0]

• 17 lines of code
• 6 McCabe index (conditional complexity)

    def __init__(self, classes_, col=-1, value=None, trueBranch=None, falseBranch=None, results=None, summary=None,
                  maxDiffTreatment=None, maxDiffSign=1., nodeSummary=None, backupResults=None, bestTreatment=None,
                  upliftScore=None, matchScore=None):
        self.classes_ = classes_
        self.col = col
        self.value = value
        self.trueBranch = trueBranch
        self.falseBranch = falseBranch
        self.results = results  # None for nodes, not None for leaves
        self.summary = summary
        # the treatment with max( |p(y|treatment) - p(y|control)| )
        self.maxDiffTreatment = maxDiffTreatment
        # the sign for p(y|maxDiffTreatment) - p(y|control)
        self.maxDiffSign = maxDiffSign
        self.nodeSummary = nodeSummary
        self.backupResults = backupResults
        self.bestTreatment = bestTreatment
        self.upliftScore = upliftScore
        # match actual treatment for validation and testing
        self.matchScore = matchScore