class_docstr: Searcher which randomly samples configurations to try next.
class_docstr_tok: ["Searcher","which","randomly","samples","configurations","to","try","next","."]
code: def _get_params_space(self) -> dict:
      param_space = dict()
      for key, val in self.search_space.items():
          if isinstance(val, space.Space):
              sk = val.convert_to_sklearn()
              param_space[key] = sk
      return param_space
  
file_path: autogluon/core/src/autogluon/core/searcher/local_random_searcher.py
imports: import logging
  import numpy
  from sklearn.model_selection import ParameterSampler
  from autogluon.common import space
  from .exceptions import ExhaustedSearchSpaceError
  from .local_searcher import LocalSearcher
label_desc: Use image node_id 2 for calling the LocalRandomSearcher obj's underlying member method code with example usage: obj._get_params_space() and returns: param_space