Last 7 days
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3 new revisions
pushed by fccoelho
- 8d53750ddd:improved lhs to stop returning infs in samples
added some tests for lhs
ab1f5a2b4d:Added MCMC module stub
fc1bb280e1:implemented fitting based on MCMC for the Melding module. A combination of Metropolis-hastings
proposals
and importance sampling has shown better performance than the previous SIR approach.
A method for self calibrating the variance of the prior distribution to avoid local minima, was also
implemented.
A new MCMC module was started to collect generic MCMC sampler classes. Unfinished.
8d53750ddd:improved lhs to stop returning infs in samples
added some tests for lhs
ab1f5a2b4d:Added MCMC module stub
fc1bb280e1:implemented fitting based on MCMC for the Melding module. A combination of Metropolis-hastings
proposals
and importance sampling has shown better performance than the previous SIR approach.
A method for self calibrating the variance of the prior distribution to avoid local minima, was also
implemented.
A new MCMC module was started to collect generic MCMC sampler classes. Unfinished.
Last 30 days
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Revision 4582f34649
(started implementation of the conjugate prior module)
pushed by fccoelho
- started implementation of the conjugate prior module
started implementation of the conjugate prior module
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Revision d1f384cfa9
(improved uniform likelihood methods
improved testing by adop...)
pushed by fccoelho
- improved uniform likelihood methods
improved testing by adopting numpy.testing cool asserts
improved uniform likelihood methods
improved testing by adopting numpy.testing cool asserts
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Revision a0261f0933
(added Uniform log-likelihood function in like.py
improved Ba...)
pushed by fccoelho
- added Uniform log-likelihood function in like.py
improved BayesVar, but is still broken
added Uniform log-likelihood function in like.py
improved BayesVar, but is still broken
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Revision dbe51ac97c
(improved documentation and minor refactoring in bvariables m...)
pushed by fccoelho
- improved documentation and minor refactoring in bvariables module.
improved documentation and minor refactoring in bvariables module.
Earlier this year
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Revision 73765928bf
(improved cgillespie performance)
pushed by fccoelho
- improved cgillespie performance
improved cgillespie performance
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Revision 17d96bef40
(update cython version of gillespie)
pushed by fccoelho
- update cython version of gillespie
update cython version of gillespie
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Revision 6b784d9860
(fixed some bugs in the __str__ of _BayesVar)
pushed by fccoelho
- fixed some bugs in the __str__ of _BayesVar
fixed some bugs in the __str__ of _BayesVar
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Revision 8176e5c96e
(removed 2.6 only syntax to make it compatible with python 2....)
pushed by fccoelho
- removed 2.6 only syntax to make it compatible with python 2.5
removed 2.6 only syntax to make it compatible with python 2.5
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Revision 07249c66a3
(improved documentatio of SDE example.py)
pushed by fccoelho
- improved documentatio of SDE example.py
improved documentatio of SDE example.py
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Revision 09f1a0bf42
(Rolled back migration to Distribute due to lack of support i...)
pushed by fccoelho
- Rolled back migration to Distribute due to lack of support in Sage.
Rolled back migration to Distribute due to lack of support in Sage.
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Revision b3cfeec1db
(moved from setuptools to distribute
added try/except around ...)
pushed by fccoelho
- moved from setuptools to distribute
added try/except around psyco import
moved from setuptools to distribute
added try/except around psyco import
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Revision ef520be751
(added import check for gnuplot in gillespie.py)
pushed by fccoelho
- added import check for gnuplot in gillespie.py
added import check for gnuplot in gillespie.py
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Revision 3556f77a1d
(fixed bug in setThetafromData which gave an error after rece...)
pushed by fccoelho
- fixed bug in setThetafromData which gave an error after receiving a constant vector as sample.
fixed bug in setThetafromData which gave an error after receiving a constant vector as sample.
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Revision a5cf8b4221
(improved ABCrun
tested it with both deterministic and stocha...)
pushed by fccoelho
- improved ABCrun
tested it with both deterministic and stochastic models.
improved ABCrun
tested it with both deterministic and stochastic models.
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Revision 50a5c577b9
(removed strict dependency on Gnuplot)
pushed by fccoelho
- removed strict dependency on Gnuplot
removed strict dependency on Gnuplot
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Revision d5eb945fe8
(added realtime visualization capabilities to Meld Class. Unt...)
pushed by fccoelho
- added realtime visualization capabilities to Meld Class. Untested
added realtime visualization capabilities to Meld Class. Untested
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r90
(added some type enforcing for sage compatibility) committed by fccoelho
- added some type enforcing for sage compatibility
added some type enforcing for sage compatibility
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r89
(removed builtin names 'vars' and 'round' from gillespie.py ) committed by fccoelho
- removed builtin names 'vars' and 'round' from gillespie.py
removed builtin names 'vars' and 'round' from gillespie.py
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r85
(Parallelized GilespieSSA Stochatic diferential equation solv...) committed by fccoelho
- Parallelized GilespieSSA Stochatic diferential equation solver
Parallelized GilespieSSA Stochatic diferential equation solver
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r84
(fixed bug in melding.py) committed by fccoelho
- fixed bug in melding.py
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r83
(Made it compatible with multiprocessing in 2.6 and new versi...) committed by fccoelho
- Made it compatible with multiprocessing in 2.6 and new versions of python
Made it compatible with multiprocessing in 2.6 and new versions of python
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r82
(minor bugfixes) committed by fccoelho
- minor bugfixes
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r81
(improved information output during runtime) committed by fccoelho
- improved information output during runtime
improved information output during runtime
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