deepcave.runs.converters.bohb

# BOHBRun

This module provides utilities for managing and processing data concerning a BOHB (Bayesian Optimization and Hyperparameter Bandits) run.

## Classes

  • BOHBRun: Create a BOHB Run.

Classes

BOHBRun(name[, configspace, objectives, ...])

Create a BOHB (Bayesian Optimization and Hyperparameter Bandits) run.
class deepcave.runs.converters.bohb.BOHBRun(name, configspace=None, objectives=None, meta=None, path=None)[source]

Bases: Run

Create a BOHB (Bayesian Optimization and Hyperparameter Bandits) run.

Properties

pathPath

The path to the run.

classmethod from_path(path)[source]

Create a new BOHB run from a given path and add a new trial to it.

Parameters:

path (Union[Path, str]) – The pathname to base the run on.

Return type:

The BOHB run

property hash: str

Get the hash of the current run.

If the hash changes, the cache has to be cleared. This ensures that the cache always holds the latest results of the run.

Returns:

The hash of the run.

Return type:

str

property latest_change: float | int

Get the timestamp of the latest change.

Returns:

The latest change.

Return type:

Union[float, int]

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