|---| | [ View source on GitHub](https://github.com/tensorflow/probability/blob/v0.25.0/tensorflow_probability/python/experimental/mcmc/kernel_outputs.py#L41-L110) | Facade around outputs of `step_kernel`. tfp.experimental.mcmc.KernelOutputs( kernel, state, results ) Processes results and extracts useful data for analysis and further sampling.


| ## Args || |---|---| | `kernel` | The `TransitionKernel` which generated the outputs. | | `state` | The final chain state as returned by `step_kernel`. | | `results` | The final kernel results as returned by `step_kernel`. |
## Methods ### `get_diagnostics` [View source](https://github.com/tensorflow/probability/blob/v0.25.0/tensorflow_probability/python/experimental/mcmc/kernel_outputs.py#L94-L101) get_diagnostics() Generate diagnostics on the outputs. ### `realized_acceptance_rate` [View source](https://github.com/tensorflow/probability/blob/v0.25.0/tensorflow_probability/python/experimental/mcmc/kernel_outputs.py#L103-L110) realized_acceptance_rate() Return realized acceptance rate of the samples.