← Glossary
Glossary
Convergence
The point where training stops meaningfully improving — the loss has flattened out. A model that fails to converge is one of the most common warnings/errors in scikit-learn.
Related articles
sklearn ConvergenceWarning: What It Means and How to Fix ItFix ImportError: cannot import name from sklearn (Version Mismatch Guide)Fix sklearn NotFittedError: This Estimator Is Not Fitted YetTop 10 Machine Learning Algorithms: When to Use Each One (With Code)ValueError: Input Contains NaN — Fix in sklearn Pipelines