Examples
Load and plot previously generated data:
>>> import cma.purecma as pcma
>>> logger = pcma.CMAESDataLogger().load()
>>> logger.filename == "_CMAESDataLogger_datadict.py"
True
>> logger.plot()
The data may come from fmin or CMAES and the simulation may
still be running in a different Python shell.
Use the default logger from CMAES:
>>> import cma.purecma as pcma
>>> es = pcma.CMAES(3 * [0.1], 1)
>>> isinstance(es.logger, pcma.CMAESDataLogger) # type(es.logger)
True
>>> while not es.stop():
... X = es.ask()
... es.tell(X, [pcma.ff.elli(x) for x in X])
... es.logger.add(es) # doctest: +ELLIPSIS
<cma...
>> es.logger.plot()
TODO: the recorded data are kept in memory and keep growing, which
may well lead to performance issues for (very?) long runs. Ideally,
it should be possible to dump data to a file and clear the memory and
also to downsample data to prevent plotting of long runs to take
forever. "], 'key': " or "]}" is the place where to
prepend/append new data in the file.
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__init__(self,
verb_modulo=1)
verb_modulo controls whether and when logging takes place
for each call to the method add |
source code
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add(self,
es=None,
force=False,
more_data=None)
append some logging data from CMAES class instance es,
if number_of_times_called modulo verb_modulo equals zero |
source code
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plot(self,
fig_number=322)
plot the stored data in figure fig_number. |
source code
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save(self,
name=None)
save data to file name or self.filename |
source code
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load(self,
name=None)
load data from file name or self.filename |
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Inherited from object:
__delattr__,
__format__,
__getattribute__,
__hash__,
__new__,
__reduce__,
__reduce_ex__,
__repr__,
__setattr__,
__sizeof__,
__str__,
__subclasshook__
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