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Add link model deployment to example notebook #904

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merged 4 commits into from
Aug 2, 2024
Merged

Add link model deployment to example notebook #904

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e568745
add link model deployment
juanitorduz Aug 2, 2024
3eda948
Merge branch 'main' into add_link_model_deployment_example_nb
juanitorduz Aug 2, 2024
ac97253
add pymc-marketing to watermark
juanitorduz Aug 2, 2024
4fe9499
Merge branch 'main' into add_link_model_deployment_example_nb
juanitorduz Aug 2, 2024
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1 change: 1 addition & 0 deletions docs/source/guide/benefits/model_deployment.ipynb
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Expand Up @@ -5,6 +5,7 @@
"id": "7fb27b941602401d91542211134fc71a",
"metadata": {},
"source": [
"(model_deployment)=\n",
"# Model deployment"
]
},
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19 changes: 11 additions & 8 deletions docs/source/notebooks/mmm/mmm_example.ipynb
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Expand Up @@ -10302,7 +10302,7 @@
"metadata": {},
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"source": [
"## 10. Save Model\n",
"After your model is train, you can quickly save it using the `save` method."
"After your model is train, you can quickly save it using the `save` method. For more information about model deployment see {ref}`model_deployment`."
]
},
{
Expand All @@ -10316,27 +10316,30 @@
},
{
"cell_type": "code",
"execution_count": 60,
"execution_count": 62,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Last updated: Thu Jun 27 2024\n",
"The watermark extension is already loaded. To reload it, use:\n",
" %reload_ext watermark\n",
"Last updated: Fri Aug 02 2024\n",
"\n",
"Python implementation: CPython\n",
"Python version : 3.12.4\n",
"IPython version : 8.25.0\n",
"\n",
"pytensor: 2.22.1\n",
"pymc_marketing: 0.8.0\n",
"pytensor : 2.22.1\n",
"\n",
"matplotlib: 3.9.0\n",
"numpy : 1.26.4\n",
"seaborn : 0.13.2\n",
"matplotlib: 3.9.0\n",
"pymc : 5.15.1\n",
"arviz : 0.18.0\n",
"numpy : 1.26.4\n",
"pandas : 2.2.2\n",
"pymc : 5.15.1\n",
"\n",
"Watermark: 2.4.3\n",
"\n"
Expand All @@ -10345,7 +10348,7 @@
],
"source": [
"%load_ext watermark\n",
"%watermark -n -u -v -iv -w -p pytensor"
"%watermark -n -u -v -iv -w -p pymc_marketing,pytensor"
]
}
],
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