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`sklearn.exceptions`.ConvergenceWarning¶

class sklearn.exceptions.ConvergenceWarning[source]¶

Custom warning to capture convergence problems

Changed in version 0.18: Moved from sklearn.utils.

Attributes

args

Methods

with_traceback

Exception.with_traceback(tb) – set self.__traceback__ to tb and return self.

with_traceback()¶: Exception.with_traceback(tb) – set self.__traceback__ to tb and return self.

Examples using `sklearn.exceptions.ConvergenceWarning`¶

Multiclass sparse logistic regression on 20newgroups — Multiclass sparse logistic regression on 20newgroups¶

Early stopping of Stochastic Gradient Descent — Early stopping of Stochastic Gradient Descent¶

Visualization of MLP weights on MNIST — Visualization of MLP weights on MNIST¶

Compare Stochastic learning strategies for MLPClassifier — Compare Stochastic learning strategies for MLPClassifier¶

Feature discretization — Feature discretization¶