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Merge pull request #45 from sgbaird/dev
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tutorial content
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@sgbaird
sgbaird authored May 2, 2024
2 parents 931eae2 + 82d00b4 commit 24f238c
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4 changes: 3 additions & 1 deletion docs/docs.md → docs/concepts.md
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# Docs

```{toctree}
```{nbgallery}
:maxdepth: 1
tutorials/sobo-vs-mobo/sobo-vs-mobo.md
tutorials/freq-vs-bayes/freq-vs-bayes.md
```
7 changes: 7 additions & 0 deletions docs/conf.py
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# so a file named "default.css" will overwrite the builtin "default.css".
html_static_path = ["_static"]

nbsphinx_thumbnails = {
"tutorials/sobo-tutorial": "_static/sobo-tutorial-thumbnail.jpg",
"tutorials/mobo-tutorial": "_static/mobo-tutorial-thumbnail.jpg",
"tutorials/sobo-vs-mobo/sobo-vs-mobo": "_static/sobo-vs-mobo-thumbnail.png",
"tutorials/freq-vs-bayes/freq-vs-bayes": "_static/freq-vs-bayes-thumbnail.jpg",
}

# If not '', a 'Last updated on:' timestamp is inserted at every page bottom,
# using the given strftime format.
# html_last_updated_fmt = '%b %d, %Y'
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8 changes: 4 additions & 4 deletions ...mposition_constraint-False+categorical-False+custom_threshold-False+synchrony-batch.ipynb
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"cells": [
{
"cell_type": "markdown",
"id": "e1ef5215",
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"<a href=\"https://colab.research.google.com/github/sgbaird/honegumi/blob/main/docs/generated_notebooks/ax/objective-multi%2Bmodel-FULLYBAYESIAN%2Bcustom_gen-True%2Bexisting_data-False%2Bsum_constraint-False%2Border_constraint-False%2Blinear_constraint-False%2Bcomposition_constraint-False%2Bcategorical-False%2Bcustom_threshold-False%2Bsynchrony-batch.ipynb\"><img alt=\"Open In Colab\" src=\"https://colab.research.google.com/assets/colab-badge.svg\"></a>"
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{
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{
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"source": [
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" model=Models.FULLYBAYESIANMOO,\n",
" num_trials=-1,\n",
" max_parallelism=3,\n",
" model_kwargs={\"num_samples\": 256, \"warmup_steps\": 512},\n",
" model_kwargs={\"num_samples\": 1024, \"warmup_steps\": 1024},\n",
" ),\n",
" ]\n",
")\n",
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8 changes: 4 additions & 4 deletions ...position_constraint-False+categorical-False+custom_threshold-False+synchrony-single.ipynb
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"cells": [
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"<a href=\"https://colab.research.google.com/github/sgbaird/honegumi/blob/main/docs/generated_notebooks/ax/objective-multi%2Bmodel-FULLYBAYESIAN%2Bcustom_gen-True%2Bexisting_data-False%2Bsum_constraint-False%2Border_constraint-False%2Blinear_constraint-False%2Bcomposition_constraint-False%2Bcategorical-False%2Bcustom_threshold-False%2Bsynchrony-single.ipynb\"><img alt=\"Open In Colab\" src=\"https://colab.research.google.com/assets/colab-badge.svg\"></a>"
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{
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{
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" model=Models.FULLYBAYESIANMOO,\n",
" num_trials=-1,\n",
" max_parallelism=3,\n",
" model_kwargs={\"num_samples\": 256, \"warmup_steps\": 512},\n",
" model_kwargs={\"num_samples\": 1024, \"warmup_steps\": 1024},\n",
" ),\n",
" ]\n",
")\n",
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8 changes: 4 additions & 4 deletions ...omposition_constraint-False+categorical-False+custom_threshold-True+synchrony-batch.ipynb
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"cells": [
{
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"<a href=\"https://colab.research.google.com/github/sgbaird/honegumi/blob/main/docs/generated_notebooks/ax/objective-multi%2Bmodel-FULLYBAYESIAN%2Bcustom_gen-True%2Bexisting_data-False%2Bsum_constraint-False%2Border_constraint-False%2Blinear_constraint-False%2Bcomposition_constraint-False%2Bcategorical-False%2Bcustom_threshold-True%2Bsynchrony-batch.ipynb\"><img alt=\"Open In Colab\" src=\"https://colab.research.google.com/assets/colab-badge.svg\"></a>"
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{
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{
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" model=Models.FULLYBAYESIANMOO,\n",
" num_trials=-1,\n",
" max_parallelism=3,\n",
" model_kwargs={\"num_samples\": 256, \"warmup_steps\": 512},\n",
" model_kwargs={\"num_samples\": 1024, \"warmup_steps\": 1024},\n",
" ),\n",
" ]\n",
")\n",
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8 changes: 4 additions & 4 deletions ...mposition_constraint-False+categorical-False+custom_threshold-True+synchrony-single.ipynb
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"cells": [
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{
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{
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" model=Models.FULLYBAYESIANMOO,\n",
" num_trials=-1,\n",
" max_parallelism=3,\n",
" model_kwargs={\"num_samples\": 256, \"warmup_steps\": 512},\n",
" model_kwargs={\"num_samples\": 1024, \"warmup_steps\": 1024},\n",
" ),\n",
" ]\n",
")\n",
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8 changes: 4 additions & 4 deletions ...omposition_constraint-False+categorical-True+custom_threshold-False+synchrony-batch.ipynb
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"cells": [
{
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{
"cell_type": "code",
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"id": "ee099c5a",
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{
"cell_type": "code",
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"id": "f5206987",
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"metadata": {},
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"source": [
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" model=Models.FULLYBAYESIANMOO,\n",
" num_trials=-1,\n",
" max_parallelism=3,\n",
" model_kwargs={\"num_samples\": 256, \"warmup_steps\": 512},\n",
" model_kwargs={\"num_samples\": 1024, \"warmup_steps\": 1024},\n",
" ),\n",
" ]\n",
")\n",
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8 changes: 4 additions & 4 deletions ...mposition_constraint-False+categorical-True+custom_threshold-False+synchrony-single.ipynb
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"cells": [
{
"cell_type": "markdown",
"id": "fef05336",
"id": "d29b3ff6",
"metadata": {},
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"<a href=\"https://colab.research.google.com/github/sgbaird/honegumi/blob/main/docs/generated_notebooks/ax/objective-multi%2Bmodel-FULLYBAYESIAN%2Bcustom_gen-True%2Bexisting_data-False%2Bsum_constraint-False%2Border_constraint-False%2Blinear_constraint-False%2Bcomposition_constraint-False%2Bcategorical-True%2Bcustom_threshold-False%2Bsynchrony-single.ipynb\"><img alt=\"Open In Colab\" src=\"https://colab.research.google.com/assets/colab-badge.svg\"></a>"
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{
"cell_type": "code",
"execution_count": null,
"id": "39ddad51",
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{
"cell_type": "code",
"execution_count": null,
"id": "05964b52",
"id": "5ffd7775",
"metadata": {},
"outputs": [],
"source": [
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" model=Models.FULLYBAYESIANMOO,\n",
" num_trials=-1,\n",
" max_parallelism=3,\n",
" model_kwargs={\"num_samples\": 256, \"warmup_steps\": 512},\n",
" model_kwargs={\"num_samples\": 1024, \"warmup_steps\": 1024},\n",
" ),\n",
" ]\n",
")\n",
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8 changes: 4 additions & 4 deletions ...composition_constraint-False+categorical-True+custom_threshold-True+synchrony-batch.ipynb
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"cells": [
{
"cell_type": "markdown",
"id": "e87a6015",
"id": "ea53ec54",
"metadata": {},
"source": [
"<a href=\"https://colab.research.google.com/github/sgbaird/honegumi/blob/main/docs/generated_notebooks/ax/objective-multi%2Bmodel-FULLYBAYESIAN%2Bcustom_gen-True%2Bexisting_data-False%2Bsum_constraint-False%2Border_constraint-False%2Blinear_constraint-False%2Bcomposition_constraint-False%2Bcategorical-True%2Bcustom_threshold-True%2Bsynchrony-batch.ipynb\"><img alt=\"Open In Colab\" src=\"https://colab.research.google.com/assets/colab-badge.svg\"></a>"
Expand All @@ -11,7 +11,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "dbb128be",
"id": "bb0026e6",
"metadata": {},
"outputs": [],
"source": [
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{
"cell_type": "code",
"execution_count": null,
"id": "286284a1",
"id": "199a22e9",
"metadata": {},
"outputs": [],
"source": [
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" model=Models.FULLYBAYESIANMOO,\n",
" num_trials=-1,\n",
" max_parallelism=3,\n",
" model_kwargs={\"num_samples\": 256, \"warmup_steps\": 512},\n",
" model_kwargs={\"num_samples\": 1024, \"warmup_steps\": 1024},\n",
" ),\n",
" ]\n",
")\n",
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8 changes: 4 additions & 4 deletions ...omposition_constraint-False+categorical-True+custom_threshold-True+synchrony-single.ipynb
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"cells": [
{
"cell_type": "markdown",
"id": "9fbef3a0",
"id": "28b4b609",
"metadata": {},
"source": [
"<a href=\"https://colab.research.google.com/github/sgbaird/honegumi/blob/main/docs/generated_notebooks/ax/objective-multi%2Bmodel-FULLYBAYESIAN%2Bcustom_gen-True%2Bexisting_data-False%2Bsum_constraint-False%2Border_constraint-False%2Blinear_constraint-False%2Bcomposition_constraint-False%2Bcategorical-True%2Bcustom_threshold-True%2Bsynchrony-single.ipynb\"><img alt=\"Open In Colab\" src=\"https://colab.research.google.com/assets/colab-badge.svg\"></a>"
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{
"cell_type": "code",
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"id": "61ad52b6",
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{
"cell_type": "code",
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Expand Down Expand Up @@ -75,7 +75,7 @@
" model=Models.FULLYBAYESIANMOO,\n",
" num_trials=-1,\n",
" max_parallelism=3,\n",
" model_kwargs={\"num_samples\": 256, \"warmup_steps\": 512},\n",
" model_kwargs={\"num_samples\": 1024, \"warmup_steps\": 1024},\n",
" ),\n",
" ]\n",
")\n",
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8 changes: 4 additions & 4 deletions ...omposition_constraint-True+categorical-False+custom_threshold-False+synchrony-batch.ipynb
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"cells": [
{
"cell_type": "markdown",
"id": "de9aa73f",
"id": "420602e1",
"metadata": {},
"source": [
"<a href=\"https://colab.research.google.com/github/sgbaird/honegumi/blob/main/docs/generated_notebooks/ax/objective-multi%2Bmodel-FULLYBAYESIAN%2Bcustom_gen-True%2Bexisting_data-False%2Bsum_constraint-False%2Border_constraint-False%2Blinear_constraint-False%2Bcomposition_constraint-True%2Bcategorical-False%2Bcustom_threshold-False%2Bsynchrony-batch.ipynb\"><img alt=\"Open In Colab\" src=\"https://colab.research.google.com/assets/colab-badge.svg\"></a>"
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{
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{
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"id": "bde45f7c",
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"source": [
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" model=Models.FULLYBAYESIANMOO,\n",
" num_trials=-1,\n",
" max_parallelism=3,\n",
" model_kwargs={\"num_samples\": 256, \"warmup_steps\": 512},\n",
" model_kwargs={\"num_samples\": 1024, \"warmup_steps\": 1024},\n",
" ),\n",
" ]\n",
")\n",
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8 changes: 4 additions & 4 deletions ...mposition_constraint-True+categorical-False+custom_threshold-False+synchrony-single.ipynb
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"cells": [
{
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"id": "6b89aff8",
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{
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"id": "99c9525c",
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{
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"metadata": {},
"outputs": [],
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" model=Models.FULLYBAYESIANMOO,\n",
" num_trials=-1,\n",
" max_parallelism=3,\n",
" model_kwargs={\"num_samples\": 256, \"warmup_steps\": 512},\n",
" model_kwargs={\"num_samples\": 1024, \"warmup_steps\": 1024},\n",
" ),\n",
" ]\n",
")\n",
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