tfp.experimental.mcmc.KernelOutputs
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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
get_diagnostics()
Generate diagnostics on the outputs.
realized_acceptance_rate
View source
realized_acceptance_rate()
Return realized acceptance rate of the samples.
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Last updated 2023-11-21 UTC.
[null,null,["Last updated 2023-11-21 UTC."],[],[],null,["# tfp.experimental.mcmc.KernelOutputs\n\n\u003cbr /\u003e\n\n|------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/probability/blob/v0.23.0/tensorflow_probability/python/experimental/mcmc/kernel_outputs.py#L41-L110) |\n\nFacade around outputs of `step_kernel`. \n\n tfp.experimental.mcmc.KernelOutputs(\n kernel, state, results\n )\n\nProcesses results and extracts useful data for analysis and further sampling.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|-----------|--------------------------------------------------------|\n| `kernel` | The `TransitionKernel` which generated the outputs. |\n| `state` | The final chain state as returned by `step_kernel`. |\n| `results` | The final kernel results as returned by `step_kernel`. |\n\n\u003cbr /\u003e\n\nMethods\n-------\n\n### `get_diagnostics`\n\n[View source](https://github.com/tensorflow/probability/blob/v0.23.0/tensorflow_probability/python/experimental/mcmc/kernel_outputs.py#L94-L101) \n\n get_diagnostics()\n\nGenerate diagnostics on the outputs.\n\n### `realized_acceptance_rate`\n\n[View source](https://github.com/tensorflow/probability/blob/v0.23.0/tensorflow_probability/python/experimental/mcmc/kernel_outputs.py#L103-L110) \n\n realized_acceptance_rate()\n\nReturn realized acceptance rate of the samples."]]
View source on GitHub