PlotInteractiveHyperParameterOpt Namespace Reference

Functions
def	realtime_learning_curves (runs)

Variables
	result = hpres.logged_results_to_HBS_result('./HyperParOpt-MCTDH-X')
	all_runs = result.get_all_runs()
	id2conf = result.get_id2config_mapping()
	lcs = result.get_learning_curves()
	tool_tip_strings

Function Documentation

realtime_learning_curves()

def PlotInteractiveHyperParameterOpt.realtime_learning_curves

(

runs

)

example how to extract a different kind of learning curve.

The x values are now the time the runs finished, not the budget anymore.
We no longer plot the validation loss on the y axis, but now the test accuracy.

This is just to show how to get different information into the interactive plot.

Variable Documentation

all_runs

PlotInteractiveHyperParameterOpt.all_runs = result.get_all_runs()

id2conf

PlotInteractiveHyperParameterOpt.id2conf = result.get_id2config_mapping()

lcs

PlotInteractiveHyperParameterOpt.lcs = result.get_learning_curves()

result

PlotInteractiveHyperParameterOpt.result = hpres.logged_results_to_HBS_result('./HyperParOpt-MCTDH-X')

tool_tip_strings

PlotInteractiveHyperParameterOpt.tool_tip_strings