nested_sampling issues

NestedSampling: make mc_walker optional or change the way workers are set up

1

When using the distributed parallelisation we build an mc_walker for each worker but are then also required to pass the mcwalker to the NestedSampling class. This particular instance of the...

smcantab

bug in the routine to restart calculation from checkpoint binary files. somehow printing of the energies starts earlier than the last energy

smcantab

bug

should output data in binary, this also requires to modify compute_cv accordingly

smcantab

enhancement

make max_stepsize optional and passable

1

js850

enhancement

must add entropy and free energy to the quantities calculated by compute_cv_c and find more appropriate name then

smcantab

enhancement

Although implemented for the heat capacity the error analysis should be possible for other quantities such as the internal energy, free energy and entropy. This is not difficult given the structure of _jackknife_variance.py, TO DO

smcantab

enhancement

File "/home/calabash/nested_sampling/nested_sampling/utils/_heat_capacity.py", line 3, in <module> from nested_sampling.src.cv_trapezoidal import compute_cv_c ImportError: No module named cv_trapezoidal

When I used nosetests nested_sampling, I got an error: No module named cv_trapezoidal $ nosetests nested_sampling E ====================================================================== ERROR: Failure: ImportError (No module named cv_trapezoidal) ---------------------------------------------------------------------- Traceback (most recent call...

Birght-lab

nested_sampling
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NestedSampling: make mc_walker optional or change the way workers are set up

bug in the routine to restart calculation from checkpoint binary files. somehow printing of the energies starts earlier than the last energy

should output data in binary, this also requires to modify compute_cv accordingly

make max_stepsize optional and passable

must add entropy and free energy to the quantities calculated by compute_cv_c and find more appropriate name then

Although implemented for the heat capacity the error analysis should be possible for other quantities such as the internal energy, free energy and entropy. This is not difficult given the structure of _jackknife_variance.py, TO DO

File "/home/calabash/nested_sampling/nested_sampling/utils/_heat_capacity.py", line 3, in <module> from nested_sampling.src.cv_trapezoidal import compute_cv_c ImportError: No module named cv_trapezoidal

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NestedSampling: make mc_walker optional or change the way workers are set up

bug in the routine to restart calculation from checkpoint binary files. somehow printing of the energies starts earlier than the last energy

should output data in binary, this also requires to modify compute_cv accordingly

make max_stepsize optional and passable

must add entropy and free energy to the quantities calculated by compute_cv_c and find more appropriate name then

Although implemented for the heat capacity the error analysis should be possible for other quantities such as the internal energy, free energy and entropy. This is not difficult given the structure of _jackknife_variance.py, TO DO

File "/home/calabash/nested_sampling/nested_sampling/utils/_heat_capacity.py", line 3, in <module> from nested_sampling.src.cv_trapezoidal import compute_cv_c ImportError: No module named cv_trapezoidal

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nested_sampling
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