dlpy.model.Model.plot_training_history

Model.plot_training_history(items=['Loss', 'FitError'], fig_size=12, 5, tick_frequency=1)

Display the training iteration history. If using in Jupyter, supress return object with semicolon - plot_training_history();

Parameters
itemslist, optional

Specifies the items to be displayed. Default : [‘Loss’, ‘FitError’)

fig_sizetuple, optional

Specifies the size of the figure. Default : (12, 5)

tick_frequencyint, optional

Specifies the frequency of the ticks visable on xaxis. Default : 1

Returns
matplotlib.axes.Axes