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Formatting updates
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apbassett committed Nov 21, 2024
1 parent bfc4a4e commit 5248f96
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Showing 2 changed files with 9 additions and 9 deletions.
8 changes: 4 additions & 4 deletions howso/client/base.py
Original file line number Diff line number Diff line change
Expand Up @@ -553,12 +553,12 @@ def train( # noqa: C901
in cases is applied in order to each of the cases in the series.
skip_auto_analyze : bool, default False
When true, the Trainee will not auto-analyze when appropriate.
Instead, the return dict will have an `output_status` key set to
Instead, the return dict will have a `status` key set to
"analyze" if an analyze is needed.
skip_reduce_data : bool, default False
When true, the Trainee will not call `reduce_data` when appropriate.
Instead, the return dict will have an `output_status` key set to
"reduce_data" if a call to `reduce_data` is recommended.
When true, the Trainee will not call `reduce_data` when
appropriate. Instead, the return dict will have a `status` key set
to "reduce_data" if a call to `reduce_data` is recommended.
train_weights_only : bool, default False
When true, and accumulate_weight_feature is provided,
will accumulate all of the cases' neighbor weights instead of
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10 changes: 5 additions & 5 deletions howso/engine/trainee.py
Original file line number Diff line number Diff line change
Expand Up @@ -683,12 +683,12 @@ def train(
applied in order to each of the cases in the series.
skip_auto_analyze : bool, default False
When true, the Trainee will not auto-analyze when appropriate.
Instead, the 'needs_analyze' property of the Trainee will be
updated.
Instead, the return dict will have a `status` key set to
"analyze" if an analyze is needed.
skip_reduce_data : bool, default False
When true, the Trainee will not call `reduce_data` when appropriate.
Instead, the return dict will have an `output_status` key set to
"reduce_data" if a call to `reduce_data` is recommended.
When true, the Trainee will not call `reduce_data` when
appropriate. Instead, the return dict will have a `status` key set
to "reduce_data" if a call to `reduce_data` is recommended.
train_weights_only: bool, default False
When true, and accumulate_weight_feature is provided,
will accumulate all of the cases' neighbor weights instead of
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