HyperParameterOpt_Worker.MyWorker Class Reference

Inheritance diagram for HyperParameterOpt_Worker.MyWorker:

Collaboration diagram for HyperParameterOpt_Worker.MyWorker:

Public Member Functions
def	__init__ (self, *args, sleep_interval=0, **kwargs)
def	compute (self, config, budget, **kwargs)

Static Public Member Functions
def	get_configspace ()

Public Attributes
	y_val
	sleep_interval

Constructor & Destructor Documentation

__init__()

def HyperParameterOpt_Worker.MyWorker.__init__	(		self,
		*	args,
			sleep_interval = 0,
		**	kwargs
	)

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Member Function Documentation

compute()

def HyperParameterOpt_Worker.MyWorker.compute	(		self,
			config,
			budget,
		**	kwargs
	)

   hyperparameter optimization for convolutional networks

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get_configspace()

def HyperParameterOpt_Worker.MyWorker.get_configspace ( )

static

It builds the configuration space with the needed hyperparameters.
It is easily possible to implement different types of hyperparameters.
Beside float-hyperparameters on a log scale, it is also able to handle categorical input parameter.
:return: ConfigurationsSpace-Object

Member Data Documentation

sleep_interval

HyperParameterOpt_Worker.MyWorker.sleep_interval

y_val

HyperParameterOpt_Worker.MyWorker.y_val

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The documentation for this class was generated from the following file:

• source/HyperParameterOpt_Worker.py