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1 parent e17a12a commit af41352Copy full SHA for af41352
doc/computing/computational_performance.rst
@@ -352,7 +352,7 @@ feature selection components in a pipeline once we know which features to
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keep from a previous run. Finally, it can help reduce processing time and I/O
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usage upstream in the data access and feature extraction layers by not
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collecting and building features that are discarded by the model. For instance
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-if the raw data come from a database, it can make it possible to write simpler
+if the raw data come from a database, it is possible to write simpler
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and faster queries or reduce I/O usage by making the queries return lighter
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records.
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At the moment, reshaping needs to be performed manually in scikit-learn.
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