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Try again
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Signed-off-by: Adam Li <[email protected]>
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adam2392 committed Sep 21, 2023
1 parent dddacb1 commit 33c9a74
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1 change: 1 addition & 0 deletions doc/conf.py
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Expand Up @@ -216,6 +216,7 @@
"Tree",
"_type_",
"MetadataRequest",
"sklearn.utils.metadata_routing.MetadataRequest",
"~utils.metadata_routing.MetadataRequest",
"quantiles",
"n_quantiles",
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4 changes: 2 additions & 2 deletions sktree/stats/forestht.py
Original file line number Diff line number Diff line change
Expand Up @@ -453,7 +453,7 @@ class FeatureImportanceForestRegressor(BaseForestHT):
the forest from the permuted dataset is re-trained each time the :meth:`test` is called
if the ``covariate_index`` differs from the previous run.
To fully start from a new dataset, call the :meth:`reset` method, which will then
To fully start from a new dataset, call the ``reset`` method, which will then
re-train both forests upon calling the :meth:`test` and :meth:`statistic` methods.
References
Expand Down Expand Up @@ -644,7 +644,7 @@ class FeatureImportanceForestClassifier(BaseForestHT):
the forest from the permuted dataset is re-trained each time the :meth:`test` is called
if the ``covariate_index`` differs from the previous run.
To fully start from a new dataset, call the :meth:`reset` method, which will then
To fully start from a new dataset, call the ``reset`` method, which will then
re-train both forests upon calling the :meth:`test` and :meth:`statistic` methods.
References
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