PartitionMCMC< HYP > Class Template Reference

#include <PartitionMCMC.h>

Inheritance diagram for PartitionMCMC< HYP >:

Collaboration diagram for PartitionMCMC< HYP >:

Public Member Functions
	PartitionMCMC (HYP &h0, size_t max_depth, typename HYP::data_t *data, size_t max_size=0)
	This specifies both a max_Size and a max_depth which are the most partitions we'll make. If max_size=0 then we ignore it. More...
Public Member Functions inherited from ChainPool< HYP >
	ChainPool ()
	ChainPool (HYP &h0, typename HYP::data_t *d, size_t n)
void	set_data (typename HYP::data_t *d, bool recompute=true)
	Set this data. More...
void	add_chain (ARGS... args)
	Lock and modify the pool. More...
size_t	nchains () const
void	show (std::string prefix) const
generator< HYP &>	run_thread (Control &ctl) override
	This run helper is called internally by multiple different threads, and runs a given pool. More...
Public Member Functions inherited from ThreadedInferenceInterface< HYP >
virtual generator< HYP &>	run_thread (Control &ctl, Args... args)=0
	ThreadedInferenceInterface ()
unsigned long	next_index ()
	Return the next index to operate on (in a thread-safe way). More...
size_t	nthreads ()
	How many threads are currently run in this interface? More...
void	run_thread_generator_wrapper (size_t thr, Control &ctl, Args... args)
	We have to wrap run_thread in something that manages the sync with main. This really just synchronizes the output of run_thread with run below. NOTE this makes a copy of x into the local next_x, so that when the thread keeps running, it doesn't mess anything up. We may in the future block the thread and return a reference, but its not clear that's faster. More...
generator< HYP &>	run (Control ctl, Args... args)
	Set up the multiple threads and actually run, calling run_thread_generator_wrapper. More...
generator< HYP &>	unthreaded_run (Control ctl, Args... args)

Additional Inherited Members
Public Types inherited from ChainPool< HYP >
enum	RunningState
Public Attributes inherited from ChainPool< HYP >
std::vector< MCMCChain< HYP > >	pool
unsigned long	steps_before_change
std::vector< RunningState >	running
OrderedLock	running_lock
Public Attributes inherited from ThreadedInferenceInterface< HYP >
std::atomic< size_t >	index
size_t	__nthreads
std::atomic< size_t >	__nrunning
ConcurrentQueueRing< HYP >	to_yield

Detailed Description

template<typename HYP>
class PartitionMCMC< HYP >

Author

Steven Piantadosi

Date

26/12/20

Constructor & Destructor Documentation

PartitionMCMC()

template<typename HYP >

PartitionMCMC< HYP >::PartitionMCMC ( HYP &  h0, size_t  max_depth, typename HYP::data_t *  data, size_t  max_size = 0  )

inline

This specifies both a max_Size and a max_depth which are the most partitions we'll make. If max_size=0 then we ignore it.

Parameters

h0
max_depth
data
max_size

---

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

• src/Inference/MCMC/PartitionMCMC.h