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#a simple network-based SIR model written in Python | |
#Jon Zelner | |
#University of Michigan | |
#August 11, 2009 | |
import sys, getopt | |
from igraph2Sonia import igraph2sonia | |
#for networks | |
def main(): | |
def usage(): |
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#a simple network-based SIR model written in Python | |
#Jon Zelner | |
#University of Michigan | |
#August 11, 2009 | |
import sys, getopt | |
from igraph2Sonia import igraph2sonia | |
#for networks | |
def main(): | |
def usage(): |
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#a simple network-based SIR model written in Python | |
#Jon Zelner | |
#University of Michigan | |
#August 11, 2009 | |
import sys, getopt | |
from igraph2Sonia import igraph2sonia | |
#for networks | |
def main(): | |
def usage(): |
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#a simple SIR model written in Python | |
#Jon Zelner | |
#University of Michigan | |
#October 8, 2009 | |
#import random number and plotting libraries | |
import random | |
import pylab as pl | |
#set quantities of individuals in each state |
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#A simple SIR model written in Python | |
#Jon Zelner | |
#University of Michigan | |
#October 8, 2009 | |
#Ok, so first we're going to import our random number and plotting libraries | |
# this is Python's standard random number library. | |
#For heavy-duty applications you'll want to use something else | |
#(like Scipy) but for this example, this will be more than adequate. |
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#A simple SIR model written in Python | |
#Jon Zelner | |
#University of Michigan | |
#October 8, 2009 | |
#Ok, so first we're going to import our random number and plotting libraries | |
# this is Python's standard random number library. | |
#For heavy-duty applications you'll want to use something else | |
#(like Scipy) but for this example, this will be more than adequate. |
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#a simple object-based SIR model written in Python | |
#Jon Zelner | |
#University of Michigan | |
#October 20, 2009 | |
#import 'sirWithClasses' to use the components of this model as you wish | |
#or just run this script as 'python sirWithClasses.py' to do a sample model run | |
import random | |
import heapq |
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#a simple network-based SIR model written in Python | |
#Jon Zelner | |
#University of Michigan | |
#October 20, 2009 | |
#import this file (networkSIRWithClasses) to use the model components | |
#or run as 'python networkSIRWithClasses.py' to do sample runs | |
import igraph | |
import random |
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import random | |
import scipy | |
import pylab as pl | |
pl.figure() | |
for i in range(30): | |
S = 99999 | |
I = 1 | |
R = 0 |
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#Forward-backward algorithm implementation in Theano, | |
#with example taken from Wikipedia: | |
#http://en.wikipedia.org/wiki/Forward%E2%80%93backward_algorithm | |
import theano | |
import theano.tensor as T | |
import numpy as np | |
#Set up vectors, etc to represent | |
#observations, indexes into the observation |
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