TensorFlow 2 version
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Compute the regularized incomplete beta integral \(I_x(a, b)\).
tf.math.betainc(
a, b, x, name=None
)
The regularized incomplete beta integral is defined as:
\(I_x(a, b) = \frac{B(x; a, b)}{B(a, b)}\)
where
\(B(x; a, b) = \int_0^x t^{a-1} (1 - t)^{b-1} dt\)
is the incomplete beta function and \(B(a, b)\) is the complete beta function.
Args | |
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a
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A Tensor. Must be one of the following types: float32, float64.
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b
|
A Tensor. Must have the same type as a.
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x
|
A Tensor. Must have the same type as a.
|
name
|
A name for the operation (optional). |
Returns | |
|---|---|
A Tensor. Has the same type as a.
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