Fix warnings from docstrings when building docs, remove t_stick_breaking #4283
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MarcoGorelli
commented
Dec 2, 2020
| @@ -24,7 +24,6 @@ implemented as ``pm.distributions.transforms.``\*X*. | |||
| ordered | |||
| log | |||
| sum_to_1 | |||
| t_stick_breaking | |||
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removed in #4129 , looks like it was never removed from here though
MarcoGorelli
commented
Dec 2, 2020
| @@ -353,7 +352,7 @@ def sample( | |||
| Notes | |||
| ----- | |||
| Optional keyword arguments can be passed to ``sample`` to be delivered to the | |||
| ``step_method``s used during sampling. | |||
| ``step_method``\ s used during sampling. | |||
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On master:
This branch:
MarcoGorelli
commented
Dec 2, 2020
Comment on lines
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+415
| >>> import pymc3 as pm | ||
| ... n = 100 | ||
| ... h = 61 | ||
| ... alpha = 2 | ||
| ... beta = 2 | ||
| In [1]: import pymc3 as pm | ||
| ...: n = 100 | ||
| ...: h = 61 | ||
| ...: alpha = 2 | ||
| ...: beta = 2 | ||
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| .. code:: ipython | ||
| In [2]: with pm.Model() as model: # context management | ||
| ...: p = pm.Beta("p", alpha=alpha, beta=beta) | ||
| ...: y = pm.Binomial("y", n=n, p=p, observed=h) | ||
| ...: trace = pm.sample() | ||
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| >>> with pm.Model() as model: # context management | ||
| ... p = pm.Beta('p', alpha=alpha, beta=beta) | ||
| ... y = pm.Binomial('y', n=n, p=p, observed=h) | ||
| ... trace = pm.sample() | ||
| >>> pm.summary(trace) | ||
| mean sd mc_error hpd_2.5 hpd_97.5 | ||
| p 0.604625 0.047086 0.00078 0.510498 0.694774 | ||
| In [3]: pm.summary(trace, kind="stats") | ||
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| Out[3]: | ||
| mean sd hdi_3% hdi_97% | ||
| p 0.609 0.047 0.528 0.699 |
twiecki
approved these changes
Dec 2, 2020
Codecov Report
@@ Coverage Diff @@
## master #4283 +/- ##
=======================================
Coverage 87.59% 87.59%
=======================================
Files 88 88
Lines 14312 14312
=======================================
Hits 12536 12536
Misses 1776 1776
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xref #4276