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ICB-DCM/pyPESTO: pyPESTO 0.1.0

Authors: Yannik Schälte; Fabian Fröhlich; Paul Stapor; DantongWang; Daniel Weindl; Jakob Vanhoefer; LeonardSchmiester; +5 Authors

ICB-DCM/pyPESTO: pyPESTO 0.1.0

Abstract

Objective Write solver settings to stream to enable serialization for distributed systems (#308) Refactor objective function (#347) Removes necessity for all of the nasty binding/undbinding in AmiciObjective Substantially reduces the complexity of the AggregatedObjective class Aggregation of functions with inconsistent sensi_order/mode support Introduce ObjectiveBase as an abstract Objective class Introduce FunctionObjective for objectives from functions Implement priors with gradients, integrate with PEtab (#357) Fix minus sign in AmiciObjective.get_error_output (#361) Implement a prior class, derivatives for standard models, interface with PEtab (#357) Use amici.import_model_module to resolve module loading failure (#384) Problem Tidy up problem vectors using properties (#393) Optimization Interface IpOpt optimizer (#373) Profiles Tidy up profiles (#356) Refactor profiles; add locally approximated profiles (#369) Fix profiling and visualization with fixed parameters (#393) Sampling Geweke test for sampling convergence (#339) Implement basic Pymc3 sampler (#351) Make theano for pymc3 an optional dependency (allows using pypesto without pymc3) (#356) Progress bar for MCMC sampling (#366) Fix Geweke test crash for small sample sizes (#376) In parallel tempering, allow to only temperate the likelihood, not the prior (#396) History and storage Allow storing results in a pre-filled hdf5 file (#290) Various fixes of the history (reduced vs. full parameters, read-in from file, chi2 values) (#315) Fix proper dimensions in result for failed start (#317) Create required directories before creating hdf5 file (#326) Improve storage and docs documentation (#328) Fix storing x_free_indices in hdf5 result (#334) Fix problem hdf5 return format (#336) Implement partial trace extraction, simplify History API (#337) Save really all attributes of a Problem to hdf5 (#342) Visualization Customizable xLabels and tight layout for profile plots (#331) Fix non-positive bottom ylim on a log-scale axis in waterfall plots (#348) Fix "palette list has the wrong number of colors" in sampling plots (#372) Allow to plot multiple profiles from one result (#399) Logging Allow easier specification of only logging for submodules (#398) Tests Speed up travis build (#329) Update travis test system to latest ubuntu and python 3.8 (#330) Additional code quality checks, minor simplifications (#395)

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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