David Blei's talk about arXiv:1206.7051 was really awesome today.
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import numpy as np | |
N = 5000 | |
I_true = np.random.randn(N) | |
D = I_true[:, None] - I_true[None, :] | |
I0 = np.zeros_like(I_true) | |
eta = 1.0 / N # Learning rate. | |
tol = 1.25e-11 # Error tolerance. |
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diff --git a/old.html b/index.html | |
index e17fcfc..1f320f3 100644 | |
--- a/old.html | |
+++ b/index.html | |
@@ -9,10 +9,12 @@ | |
<link href="http://twitter.github.com/bootstrap/assets/css/bootstrap.css" rel="stylesheet"> | |
<link href="http://twitter.github.com/bootstrap/assets/css/docs.css" rel="stylesheet"> | |
<link href="http://twitter.github.com/bootstrap/assets/js/google-code-prettify/prettify.css" rel="stylesheet"> | |
+ <link href="ADSASS_applet/jquery-ui-1.9.2.custom.min.css" rel="stylesheet"> | |
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import requests |
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from __future__ import print_function | |
import requests | |
from bs4 import BeautifulSoup | |
def get_table(fn=u"koi.txt"): | |
url = u"http://archive.stsci.edu/kepler/planet_candidates.html" | |
r = requests.get(url) | |
if r.status_code != requests.codes.ok: |
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import bart | |
# Initialize a planet. | |
planet = bart.Planet(r=0.01, a=21.3, t0=3.85) | |
planet.parameters += [bart.parameters.Parameter(r"$r$", "r"), | |
bart.parameters.LogParameter(r"$a$", "a")] | |
# Initialize the star. | |
ldp = bart.kepler.fiducial_ldp(teff=6438, logg=4.28, feh=0.0) | |
star = bart.Star(mass=planet.get_mstar(12.4138), ldp=ldp) |
You'll need numpy, matplotlib, emcee, triangle.py and acor to run this example.
Here's the model:
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pro autokep_event,event | |
Widget_Control, event.id, Get_UValue=info | |
Call_Method, info.method, info.object, event | |
end | |
Here's what happens if you want to display the progress of the default emcee example from the main documentation page.