@@ -599,10 +599,10 @@ def compute_subpopulation_analyses(self, split_by, wait=True, sample_size=1000,
599599 """
600600 Launch computation of Subpopulation analyses for this trained model.
601601
602- :param list split_by: columns on which subpopulation analyses are to be computed
603- :param bool wait: if True, the call blocks until the run is finished and returns the results
602+ :param list split_by: columns on which subpopulation analyses are to be computed (one analysis per column)
603+ :param bool wait: if True, the call blocks until the computation is finished and returns the results directly
604604 :param int sample_size: number of records of the dataset to use for the computation
605- :param int random_state: random state to use to build sample. Ensure reproducibility
605+ :param int random_state: random state to use to build sample, for reproducibility
606606 :param int n_jobs: number of cores used for parallel training. (-1 means 'all cores')
607607 :param bool debug_mode: if True, output all logs (slower)
608608
@@ -659,9 +659,9 @@ def compute_partial_dependencies(self, features, wait=True, sample_size=1000, ra
659659 Launch computation of Partial dependencies for this trained model.
660660
661661 :param list features: features on which partial dependencies are to be computed
662- :param bool wait: if True, the call blocks until the run is finished and returns the results
662+ :param bool wait: if True, the call blocks until the computation is finished and returns the results directly
663663 :param int sample_size: number of records of the dataset to use for the computation
664- :param int random_state: random state to use to build sample. Ensure reproducibility
664+ :param int random_state: random state to use to build sample, for reproducibility
665665 :param int n_jobs: number of cores used for parallel training. (-1 means 'all cores')
666666 :param bool debug_mode: if True, output all logs (slower)
667667
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