tf.betainc

tf.betainc(
    a,
    b,
    x,
    name=None
)

Defined in tensorflow/python/ops/gen_math_ops.py.

See the guide: Math > Basic Math Functions

Compute the regularized incomplete beta integral \(I_x(a, b)\).

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:

• a: A Tensor. Must be one of the following types: float32, float64.
• b: A Tensor. Must have the same type as a.
• 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.