tfp.math.log_bessel_ive | TensorFlow Probability (original) (raw)
tfp.math.log_bessel_ive
Computes log(tfp.math.bessel_ive(v, z)).
tfp.math.log_bessel_ive(
v, z, name=None
)
This function is a more numerically stable version oflog(tfp.math.bessel_ive(v, z)), along with more numerically stable gradients.
| Args | |
|---|---|
| v | Floating-point Tensor broadcastable with z for which log(Ive(v, z))should be computed. v is expected to be non-negative. |
| z | Floating-point Tensor broadcastable with v for which log(Ive(v, z))should be computed. If z is negative, v is expected to be an integer. |
| name | A name for the operation (optional). Default value: None (i.e., 'log_bessel_ive'). |
| Returns | |
|---|---|
| log_bessel_ive | Log of Exponentially modified Bessel Function of the first kind. |
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2023-11-21 UTC.