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1 parent 8b79bc0 commit d599d7cCopy full SHA for d599d7c
python_scripts/02_numerical_pipeline_scaling.py
@@ -77,7 +77,8 @@
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#
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# * Many models such as logistic regression use a numerical solver (based on
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# gradient descent) to find their optimal parameters. This solver converges
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-# faster when the features are scaled.
+# faster when the features are scaled, as it requires less steps (called
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+# **iterations**) to reach the optimal solution.
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# ```
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# Whether or not a machine learning model requires scaling the features depends
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