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MLPRegressor t_ attribute documented twice #19804

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MLPRegressor t_ attribute documented twice#19804
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@rynoV
rynoV
opened on Apr 1, 2021

The MLPRegressor class documents the t_ attribute twice:

scikit-learn/sklearn/neural_network/_multilayer_perceptron.py

Lines 1297 to 1298 in 95119c1

t_ : int
The number of training samples seen by the solver during fitting.

scikit-learn/sklearn/neural_network/_multilayer_perceptron.py

Lines 1323 to 1325 in 95119c1

t_ : int
Mathematically equals `n_iters * X.shape[0]`, it means
`time_step` and it is used by optimizer's learning rate scheduler.

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