Skip to content

Updating softmax in rethinking_2 chapter 11 #240

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
wants to merge 3 commits into
base: main
Choose a base branch
from
Open

Updating softmax in rethinking_2 chapter 11 #240

Changes from all commits
Commits
Show all changes
3 commits
Select commit Hold shift + click to select a range
0533386
Switching to pymc.math.softmax implementation; adding axis=1 argument…
DamonCharlesRoberts Jun 4, 2025
c4e44b5
Remove aesara import.
DamonCharlesRoberts Jun 6, 2025
1e3f7e9
Remove white space between imports.
DamonCharlesRoberts Jun 6, 2025
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
6 changes: 2 additions & 4 deletions Rethinking_2/Chp_11.ipynb
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -7,8 +7,6 @@
"outputs": [],
"source": [
"import warnings\n",
"\n",
"import aesara.tensor as at\n",
"import arviz as az\n",
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
Expand Down Expand Up @@ -4719,7 +4717,7 @@
" s2 = 0.0 + b * income[2] # pivoting the intercept for the third category\n",
" s = pm.math.stack([s0, s1, s2])\n",
"\n",
" p_ = at.nnet.softmax(s)\n",
" p_ = pm.math.softmax(s, axis=1)\n",
" career_obs = pm.Categorical(\"career\", p=p_, observed=career)\n",
"\n",
" trace_11_13 = pm.sample(tune=2000, target_accept=0.99, random_seed=RANDOM_SEED)\n",
Expand Down Expand Up @@ -5061,7 +5059,7 @@
" s2 = np.zeros(N) # pivot\n",
" s = pm.math.stack([s0, s1, s2]).T\n",
"\n",
" p_ = at.nnet.softmax(s)\n",
" p_ = pm.math.softmax(s, axis=1)\n",
" career_obs = pm.Categorical(\"career\", p=p_, observed=career)\n",
"\n",
" trace_11_14 = pm.sample(1000, tune=2000, target_accept=0.9, random_seed=RANDOM_SEED)\n",
Expand Down