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You really want to sit down and manually compare 20,000 different models? That's about the normal number I run in 12 hours or so for a lot of scripts. You can look at the best model like this: ax = model.plot_validations(use_df, subset='Best')
plt.legend(bbox_to_anchor=(1.02, 1), loc='upper left', borderaxespad=0)
# plt.savefig("validation_plot2.png", dpi=300, bbox_inches="tight")
plt.show()
ax = model.plot_validations(use_df, subset='Worst')
plt.legend(bbox_to_anchor=(1.02, 1), loc='upper left', borderaxespad=0)
plt.show() or view if you really do want to view the plot of a given model in that table, you can use the |
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In order to compare each model, how to get the prediction and plot all the models being trained to compare with each model?
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