I run everything to fit a curve to thermistor data using asynchronous differential evolution.

Construct an instance of me with an instance of Args that has parsed command-line options, then have the Twisted reactor call the instance when it starts. Then start the reactor and watch the fun.

Class Variable	targetFraction	Normally 3%, but set much lower in this example (0.5%) because real improvements seem to be made in this example even with low improvement scores. I think that behavior has something to do with all the independent parameters for six thermistors.
Method	__init__	`Runner(args)`
Method	shutdown	Call this to shut me down when I'm done. Shuts down my `ProcessQueue`, which can take a moment.
Method	evaluate	The function that gets called with each combination of parameters to be evaluated for fitness.
Method	__call__	Undocumented
Method	run	Undocumented

targetFraction =

Normally 3%, but set much lower in this example (0.5%) because real improvements seem to be made in this example even with low improvement scores. I think that behavior has something to do with all the independent parameters for six thermistors.

def __init__(self, args):

Runner(args)

@defer.inlineCallbacks
def shutdown(self):

Call this to shut me down when I'm done. Shuts down my ProcessQueue, which can take a moment.

Repeated calls have no effect.

def evaluate(self, values, xSSE=None):

The function that gets called with each combination of parameters to be evaluated for fitness.

@defer.inlineCallbacks
def __call__(self):

Undocumented

def run(self):

Undocumented

API Documentation for ade, generated by pydoctor at 2022-11-17 13:13:22.

ade.examples.thermistor.Runner(object) class documentation

`ade.examples.thermistor.Runner(object)` class documentation