DOC Remove outdated documentation note in RandomizedSearchCV
@@ -189,13 +189,6 @@ class ParameterSampler:
It is highly recommended to use continuous distributions for continuous
parameters.
- Note that before SciPy 0.16, the ``scipy.stats.distributions`` do not
- accept a custom RNG instance and always use the singleton RNG from
- ``numpy.random``. Hence setting ``random_state`` will not guarantee a
- deterministic iteration whenever ``scipy.stats`` distributions are used to
- define the parameter search space. Deterministic behavior is however
- guaranteed from SciPy 0.16 onwards.
-
Read more in the :ref:`User Guide <search>`.
Parameters
@@ -1171,12 +1164,6 @@ class RandomizedSearchCV(BaseSearchCV):
It is highly recommended to use continuous distributions for continuous
parameters.
- Note that before SciPy 0.16, the ``scipy.stats.distributions`` do not
- accept a custom RNG instance and always use the singleton RNG from
- ``numpy.random``. Hence setting ``random_state`` will not guarantee a
- deterministic iteration whenever ``scipy.stats`` distributions are used to
- define the parameter search space.
-
Read more in the :ref:`User Guide <randomized_parameter_search>`.
Parameters
