DOC improve random state docstring  in HistGBDT
@@ -34,9 +34,11 @@ def _find_binning_thresholds(data, max_bins, subsample, random_state):
If ``n_samples > subsample``, then ``sub_samples`` samples will be
randomly chosen to compute the quantiles. If ``None``, the whole data
is used.
- random_state: int or numpy.random.RandomState or None
+ random_state: int, RandomState instance or None
Pseudo-random number generator to control the random sub-sampling.
- See :term:`random_state`.
+ Pass an int for reproducible output across multiple
+ function calls.
+ See :term: `Glossary <random_state>`.
Return
------
@@ -109,10 +111,11 @@ class _BinMapper(TransformerMixin, BaseEstimator):
If ``n_samples > subsample``, then ``sub_samples`` samples will be
randomly chosen to compute the quantiles. If ``None``, the whole data
is used.
- random_state: int or numpy.random.RandomState or None, \
- optional (default=None)
+ random_state: int, RandomState instance or None
Pseudo-random number generator to control the random sub-sampling.
- See :term:`random_state`.
+ Pass an int for reproducible output across multiple
+ function calls.
+ See :term: `Glossary <random_state>`.
Attributes
----------
