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Fix PyMC3 warnings in Chapter 1 #529

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Merged
merged 3 commits into from
Sep 4, 2021
Merged

Fix PyMC3 warnings in Chapter 1 #529

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6431558
Fix MatplotlibDeprecationWarning
thomasaarholt Sep 3, 2021
8305f5e
Fix Futurewarning specifying argument for pymc v3, not v4
thomasaarholt Sep 3, 2021
791786f
Remove unused theano import
thomasaarholt Sep 3, 2021
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5 changes: 2 additions & 3 deletions Chapter1_Introduction/Ch1_Introduction_PyMC3.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -209,7 +209,7 @@
"\n",
"# For the already prepared, I'm using Binomial's conj. prior.\n",
"for k, N in enumerate(n_trials):\n",
" sx = plt.subplot(len(n_trials)/2, 2, k+1)\n",
" sx = plt.subplot(len(n_trials)//2, 2, k+1)\n",
" plt.xlabel(\"$p$, probability of heads\") \\\n",
" if k in [0, len(n_trials)-1] else None\n",
" plt.setp(sx.get_yticklabels(), visible=False)\n",
Expand Down Expand Up @@ -650,7 +650,6 @@
],
"source": [
"import pymc3 as pm\n",
"import theano.tensor as tt\n",
"\n",
"with pm.Model() as model:\n",
" alpha = 1.0/count_data.mean() # Recall count_data is the\n",
Expand Down Expand Up @@ -730,7 +729,7 @@
"### Mysterious code to be explained in Chapter 3.\n",
"with model:\n",
" step = pm.Metropolis()\n",
" trace = pm.sample(10000, tune=5000,step=step)"
" trace = pm.sample(10000, tune=5000, step=step, return_inferencedata=False)"
]
},
{
Expand Down