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Utilizing the fuzzy meaning algorithm in Lalita, a word connection network can be generated. The idea would be to do the following,
- From a starting word (e.g. move), map the meaning to the related…
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Modules parse the `pars` dict and anything that is an `rv_frozen` object gets converted to a `ScipyDistribution` instead. However, this only works for things in the top-level of `pars`, and doesn't wo…
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Script for testing repeated slots:
```py
import sciris as sc
import numpy as np
import pylab as pl
import starsim as ss
from collections import Counter
class check_dup(ss.Intervention):
…
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Let's hold off on this a _little_ longer until we've done a bit more on getting the code/API to a good place.
Docstrings
- [ ] analyzers
- [ ] connectors
- [ ] demographics
- [ ] disease
- [ ]…
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- [x] Move `diseases.disease.py` to root, so diseases is only specific diseases
- [x] Combine `networks.py` and `randnet.py` and move to root
- [x] Move `products` to `data/products`
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Reply with your memo as a Comment. The memo should be responsive to this week's readings on Misinformation from Carl Bergstrom, with 300–500 words + 1 visual element (e.g., figure, image, hand-drawn p…
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```py
import starsim as ss
sim = ss.Sim(pars=dict(diseases='sir', networks='random'))
sim.run()
sim.diseases.sir.ti_recovered
Out[3]:
Quantity
UID
0 36493.52453…
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Would expect these simulations to be identical, but they're not!
```python
s = ss.Sim(pars=dict(diseases='sir', networks='embedding'))
s.initialize()
s2 = sc.dcp(s)
s.run()
s2.run()
s.plot()
s…
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