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tfdf.py_tree.value.RegressionValue

The regression value of a regressive tree.

tfdf.py_tree.value.RegressionValue(
    value: float,
    num_examples: Optional[float] = 1.0,
    standard_deviation: Optional[float] = None
)

Can also be used in gradient-boosted-trees for classification and ranking.

Attributes
`value`	Value of the tree. The semantic depends on the tree: For Random Forests, this value is a regressive value (in the same unit as the label). For classification and ranking GBDTs, this value is a loggit.
`standard_deviation`	Optional standard deviation attached to the value.
`num_examples`	Number of example in the node.

Methods

__eq__(
    other
)

Return self==value.