Johannes U. Lange nautilus Issues

johannesulf/nautilus Issues

Extra parameter output
Closed a month ago2
exploration phase slows down and seems never to end
Closed 3 months ago1
h5py blocking IO when checkpointing in parallel runs
Updated 5 months ago2
[Feature request] Limit maximum runtime of `sampler.run()`
Closed 6 months ago8
version requirements for dependencies not specified
Closed 6 months ago
optimization with flat likelihood for a range of free parameters
Closed 7 months ago3
sampler.posterior(return_as_dict=True, equal_weight=True) gives TypeError: unhashable type: 'numpy.ndarray'
Closed 8 months ago2
Maximum number of iterations in sampler.run()
Closed 8 months ago3
Print some form of progress when verbose=False
Closed 8 months ago2
initialize the pool
Closed 9 months ago18
save intermediate results of the likelihood function in parallelization
Closed a year ago2
evidence
Closed a year ago3
Adding Bounds being skipped for certain fits
Closed a year ago10
variable nautilus execition times
Closed a year ago2
numpy.linalg.LinearAlgError: Matrix is not positive definitive
Closed a year ago14
Questions Regarding Sampler Performance
Closed a year ago21
ellipsoidal decomposition inefficient if one cluster has few members
Closed a year ago
`IndexError` when resuming from checkpoint
Closed a year ago6
splitting ellipsoids sometimes stops prematurely
Closed a year ago
adding new bounds freezes for noisy likelihoods
Closed a year ago
Sampling slows down / resets during sampling phase
Closed a year ago7
`pass_struct` keyword not available anymore
Closed 2 years ago2
reporting correct version in __init__ file
Closed 2 years ago
sampling with a single parameter gives error message
Closed 2 years ago2

johannesulf / nautilus

johannesulf/nautilus Issues

Extra parameter output

exploration phase slows down and seems never to end

h5py blocking IO when checkpointing in parallel runs

[Feature request] Limit maximum runtime of `sampler.run()`

version requirements for dependencies not specified

optimization with flat likelihood for a range of free parameters

sampler.posterior(return_as_dict=True, equal_weight=True) gives TypeError: unhashable type: 'numpy.ndarray'

Maximum number of iterations in sampler.run()

Print some form of progress when verbose=False

initialize the pool

save intermediate results of the likelihood function in parallelization

evidence

Adding Bounds being skipped for certain fits

variable nautilus execition times

numpy.linalg.LinearAlgError: Matrix is not positive definitive

Questions Regarding Sampler Performance

ellipsoidal decomposition inefficient if one cluster has few members

`IndexError` when resuming from checkpoint

splitting ellipsoids sometimes stops prematurely

adding new bounds freezes for noisy likelihoods

Sampling slows down / resets during sampling phase

`pass_struct` keyword not available anymore

reporting correct version in init file

sampling with a single parameter gives error message