DOC Remove double occurrences of `loss_curve_` and `t_` attributes in MLP
@@ -894,13 +894,6 @@ class MLPClassifier(ClassifierMixin, BaseMultilayerPerceptron):
out_activation_ : str
Name of the output activation function.
- loss_curve_ : list of shape (n_iters,)
- Loss value evaluated at the end of each training step.
-
- t_ : int
- Mathematically equals `n_iters * X.shape[0]`, it means
- `time_step` and it is used by optimizer's learning rate scheduler.
-
Examples
--------
>>> from sklearn.neural_network import MLPClassifier
