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Add a simple but working fitting script to illustrate fitting with the MCMC framework
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Sorry in advance if I have a conceptual misunderstanding but I'm wondering why in **monte_carlo.py** the variable **n_iter** is being set to the number of empirical samples (call this T) in the poster…
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Estimated release date: 2018-10-31
expected:
- next iteration of bug fix python: Python-3.7.1, Python-3.6.7
- scikit-learn-0.20, Matplotlib-3.0, pandas-0.23.5,
- Jupyterlab-0.35.1 , IPython-7.1,…
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expected (new) date : 2017-04-01
expected features:
- Pandas-0.22.0
- PyQt5-5.9.1-5.9.2, Spyder-3.2.8
- Bokeh-0.12.15, Holoviews-1.10.0dev1 (jupyterlab compatibility)
- Notebook-5.4.1 (Term…
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- [ ] 2 Mathematical MRF Models
- [x] Ising Model
- [x] Auto-Logistic Model
- [ ] Auto-Binomial Model
- [ ] Auto-Normal Model
- [x] Multi-level Logistic Model (MLL)
- [ ] 3.2 Image Restora…
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I've been trying to build TRAM models for a "toy" 9-state landscape from Monte Carlo trajectories that changes with pH. The idea is that we could get lots of productive sampling of transitions at low…
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Is there any chance that the multichain DREAM sampler is re-implemented in pymc? There was [once a version for pymc2](https://github.com/jsalvatier/multichain_mcmc), but its not working any more.
maahn updated
6 years ago
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In, the past, we've permuted hetnets via the hetio package. We have also [explored](https://thinklab.com/d/136) a Cypher implementation. The method we use is called XSwap as described in:
> [**Rand…
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I see in your code that you have hard-coded lists of initial parameters for the scipy.optimize non-linear solver used in curve_fit. I have had good success using a genetic algorithm named Differentia…
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release estimate: mid-august
expected:
- new packages:
- python-3.6.3, python-3.5.4
- spyder-notebook, spyder-terminal, spyder-reports
- Vitables for Qt5.5+, moviepy, brotli,
- da…