adaptive.utils module

adaptive.utils.assign_defaults(function, df, function_prefix: str = 'function.')

adaptive.utils.cache_latest(f: Callable) → Callable

Cache the latest return value of the function and add it as ‘self._cache[f.__name__]’.

adaptive.utils.copy_docstring_from(other: Callable) → Callable

adaptive.utils.load(fname: str, compress: bool = True) → Any

adaptive.utils.named_product(**items: Mapping[str, Sequence[Any]])

adaptive.utils.partial_function_from_dataframe(function, df, function_prefix: str = 'function.')

adaptive.utils.restore(*learners) → contextlib._GeneratorContextManager

adaptive.utils.save(fname: str, data: Any, compress: bool = True) → bool