adaptive.utils module# adaptive.utils.assign_defaults(function, df, function_prefix: str = 'function.')[source]# adaptive.utils.cache_latest(f)[source]# Cache the latest return value of the function and add it as ‘self._cache[f.__name__]’. adaptive.utils.copy_docstring_from(other)[source]# adaptive.utils.load(fname, compress=True)[source]# adaptive.utils.named_product(**items)[source]# adaptive.utils.partial_function_from_dataframe(function, df, function_prefix: str = 'function.')[source]# adaptive.utils.restore(*learners)[source]# adaptive.utils.save(fname, data, compress=True)[source]#