An instance of me is called each time a combination of parameters is found that's better than any of the others thus far.

Prints the sum-of-squared error and parameter values to the console and updates a plot image (PNG) at plotFilePath.

Class Variable	plotFilePath	The file name in the current directory of a PNG file to write an update with a Matplotlib plot image of the actual vs. modeled temperature versus thermistor resistance curves.
Method	__init__	`Reporter(evaluator, population)`
Method	__call__	Prints out a new best parameter combination and its curve vs observations, with lots of extrapolation to the right.

plotFilePath =

The file name in the current directory of a PNG file to write an update with a Matplotlib plot image of the actual vs. modeled temperature versus thermistor resistance curves.

def __init__(self, evaluator, population):

Reporter(evaluator, population)

def __call__(self, values, counter, SSE):

Prints out a new best parameter combination and its curve vs observations, with lots of extrapolation to the right.

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

ade.examples.voc.Reporter(object) class documentation

`ade.examples.voc.Reporter(object)` class documentation