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Jammy2211 merged 2 commits into from
Oct 23, 2026
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docs: give realistic tutorial 4 runtime guidance #74

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docs: give realistic tutorial 4 runtime guidance
Oct 17, 2026
2a65ecd
Merge origin/main into feature/howtofit-runtime-guidance
Jammy2211 Oct 23, 2026
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7 changes: 5 additions & 2 deletions notebooks/chapter_1_introduction/tutorial_4_why_modeling_is_hard.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -489,7 +489,9 @@
"This means the non-linear parameter space has a dimensionality of N=15, making it significantly more complex \n",
"than the simpler model we fitted in the previous tutorial.\n",
"\n",
"Consequently, the non-linear search takes slightly longer to run but still completes in under a minute."
"Consequently, this 15-parameter search can take several minutes. A measured run on a four-core machine took\n",
"about six and a half minutes; your runtime will depend on the hardware, available cores and sampling trajectory.\n",
"The progress display below lets you follow the search while it runs."
]
},
{
Expand All @@ -501,7 +503,8 @@
"print(\n",
" \"\"\"\n",
" The non-linear search has begun running.\n",
" This Jupyter notebook cell with progress once the search has completed - this could take a few minutes!\n",
" This Jupyter notebook cell will progress once the search has completed - allow several minutes\n",
" (about six and a half minutes in one measured run; your runtime may differ).\n",
" \"\"\"\n",
")\n",
"\n",
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7 changes: 5 additions & 2 deletions scripts/chapter_1_introduction/tutorial_4_why_modeling_is_hard.py
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Expand Up @@ -338,14 +338,17 @@ def model_data_from_instance(self, instance):
This means the non-linear parameter space has a dimensionality of N=15, making it significantly more complex
than the simpler model we fitted in the previous tutorial.

Consequently, the non-linear search takes slightly longer to run but still completes in under a minute.
Consequently, this 15-parameter search can take several minutes. A measured run on a four-core machine took
about six and a half minutes; your runtime will depend on the hardware, available cores and sampling trajectory.
The progress display below lets you follow the search while it runs.
"""
analysis = Analysis(data=data, noise_map=noise_map)

print(
"""
The non-linear search has begun running.
This Jupyter notebook cell with progress once the search has completed - this could take a few minutes!
This Jupyter notebook cell will progress once the search has completed - allow several minutes
(about six and a half minutes in one measured run; your runtime may differ).
"""
)

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