py21cmmc.cosmoHammer.CosmoHammerSampler#

class py21cmmc.cosmoHammer.CosmoHammerSampler(likelihoodComputationChain, continue_sampling=False, log_level_stream=40, max_init_attempts=100, *args, **kwargs)[source]#

Upgraded cosmoHammer.CosmoHammerSampler with the ability to continue sampling.

Methods

`__init__`(likelihoodComputationChain[, ...])	CosmoHammer sampler implementation
`createEmceeSampler`(lnpostfn, **kwargs)	Create the emcee sampler.
`createInitPos`()	Create initial positions.
`createInitPositionGenerator`()	Returns a new instance of a Init Position Generator
`createSampleFileUtil`()	Returns a new instance of a File Util
`createStopCriteriaStrategy`()	Returns a new instance of a stop criteria stategy
`getChain`()	Returns the sample chain
`isMaster`()	Returns True.
`loadBurnin`()	Load the burn in from the file system.
`loadSamples`()	Load the samples from the file system.
`log`(message[, level])	Logs a message to the logfile
`resetSampler`()	Resets the emcee sampler in the master node
`sample`(burninPos[, burninProb, ...])	Run emcee sampling.
`sampleBurnin`(p0[, prob, rstate, datas])	Run burnin samples.
`startSampleBurnin`([pos, prob, rstate, data])	Run the sampler for the burn in.
`startSampling`()	Launch the sampling.

Attributes

`paramValues`
`paramWidths`
`samples`	The samples that have been generated.