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tfdf.py_tree.value.UpliftValue
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The uplift value of a classification or regression uplift tree.
Inherits From: AbstractValue
tfdf.py_tree.value.UpliftValue(
treatment_effect: List[float], num_examples: Optional[float] = 1.0
)
Attributes |
|---|
treatment_effect
|
Effect of the "i+1"-th treatment compared to the control
group.
|
num_examples
|
Number of example in the node.
|
Methods
__eq__
View source
__eq__(
other
)
Return self==value.
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Last updated 2024-04-26 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-04-26 UTC."],[],[]]
View source on GitHub