Loss history for MLPRegressor
Very simple actually: model.loss_curve_ gives you the values of the loss for each epoch. You can then easily plot the learning curve by putting the epochs on the x axis and the values mentioned above on the y axis
I am using an MLPRegressor to solve a problem and would like to plot the loss function, i.e., by how much the loss decreases in each training epoch. However, the attribute model.loss_ available for the MLPRegressor only allows access to the last loss value. Is there any possibility to access the whole loss history?