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Adding models RD, EN, ET, Stacking, GB, AB, MultiOutput(only for multiple output benchmarks) to all benchmarks #82

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Adding models RD, EN, ET, Stacking, GB, AB, MultiOutput(only for multiple output benchmarks) to all benchmarks #82

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e957486
Adding models RD, EN, and ET to the Fuel Performance benchmark.
ShamanthShastry Mar 4, 2025
d382bf4
Adding models RD, EN, ET to the fuel performance benchmark checking f…
ShamanthShastry Mar 4, 2025
f0fc99f
Adding RD, EN, ET, Stacking, GB, and AB to all benchmarks, taking int…
ShamanthShastry Apr 4, 2025
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61 changes: 51 additions & 10 deletions docs/source/benchmarks/bwr.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -1072,7 +1072,7 @@
},
{
"cell_type": "code",
"execution_count": 7,
"execution_count": null,
"id": "7ab0929e",
"metadata": {
"execution": {
Expand All @@ -1085,7 +1085,7 @@
"outputs": [],
"source": [
"model_settings = {\n",
" \"models\": [\"Linear\", \"Lasso\", \"DT\", \"RF\", \"KN\", \"FNN\"],\n",
" \"models\": [\"Linear\", \"Lasso\", \"DT\", \"RF\", \"KN\", \"FNN\", \"RD\", \"EN\", \"ET\", \"Stacking\", \"MultiOutput\", \"GB\", \"AB\"],\n",
" \"FNN\": {\n",
" \"structural_params\": {\n",
" \"Dense_hidden\": {\n",
Expand Down Expand Up @@ -1118,6 +1118,19 @@
" \"validation_split\": 0.15,\n",
" },\n",
" },\n",
" \"GB\":{\n",
" \"multi_output\": True\n",
" },\n",
" \"AB\":{\n",
" \"multi_output\": True \n",
" },\n",
" \"MultiOutput\":{\n",
" \"estimator\": \"SVM\",\n",
" },\n",
" \"Stacking\":{\n",
" \"estimators\": [\"KN\", \"SVM\"],\n",
" \"_multi_output\": True,\n",
" },\n",
"}\n",
"tuner = mai.Tuner(xtrain, ytrain, model_settings=model_settings)"
]
Expand All @@ -1134,7 +1147,7 @@
},
{
"cell_type": "code",
"execution_count": 8,
"execution_count": null,
"id": "d3c55743",
"metadata": {
"execution": {
Expand Down Expand Up @@ -1177,6 +1190,33 @@
" \"leaf_size\": randint(low=1, high=30), # 1 - 30\n",
" \"p\": randint(low=1, high=10), # 1 - 10\n",
" },\n",
" \"RD\":{\n",
" \"alpha\": uniform(loc=0.0001, scale=0.0099), # 0.0001 - 0.01\n",
" },\n",
" \"EN\":{\n",
" \"alpha\": uniform(loc=0.0001, scale=0.0099), # 0.0001 - 0.01\n",
" },\n",
" \"ET\":{\n",
" \"max_depth\": randint(low=5, high=50), # 5 - 50\n",
" \"min_samples_split\": randint(low=2, high=20), # 2 - 20\n",
" \"min_samples_leaf\": randint(low=1, high=20), # 1 - 20\n",
" },\n",
" \"GB\": {\n",
" \"estimator__learning_rate\": uniform(loc=0.1, scale=1e-2)\n",
" },\n",
" \"AB\":{\n",
" \"estimator__learning_rate\": uniform(loc=1, scale=0.5)\n",
" },\n",
" \"MultiOutput\":{\n",
" \"estimator__C\": uniform(loc=0.01, scale=99.99), # 0.01 - 100\n",
" },\n",
" \"Stacking\":{\n",
" \"estimator__KN__n_neighbors\": randint(low=1, high=20), # 1 - 20\n",
" \"estimator__KN__weights\": [\"uniform\", \"distance\"],\n",
" \"estimator__KN__leaf_size\": randint(low=1, high=30), # 1 - 30\n",
" \"estimator__KN__p\": randint(low=1, high=10), # 1 - 10\n",
" \"estimator__SVM__C\": uniform(loc=0.01, scale=99.99), # 0.01 - 100\n",
" },\n",
"}\n",
"start = time.time()\n",
"random_search_configs = tuner.random_search(\n",
Expand Down Expand Up @@ -4088,7 +4128,7 @@
},
{
"cell_type": "code",
"execution_count": 17,
"execution_count": null,
"id": "7799a9a9",
"metadata": {
"execution": {
Expand Down Expand Up @@ -4172,7 +4212,7 @@
}
],
"source": [
"for model in [\"Lasso\", \"DT\", \"RF\", \"KN\", \"FNN\"]:\n",
"for model in [\"Lasso\", \"DT\", \"RF\", \"KN\", \"FNN\", \"RD\", \"EN\", \"ET\", \"Stacking\", \"MultiOutput\", \"GB\", \"AB\"]:\n",
" postprocessor.print_model(model_type=model)\n",
" print()"
]
Expand Down Expand Up @@ -4230,7 +4270,7 @@
},
{
"cell_type": "code",
"execution_count": 19,
"execution_count": null,
"id": "bde1e6e3",
"metadata": {
"execution": {
Expand All @@ -4254,8 +4294,8 @@
],
"source": [
"def performance_plot(meth, output):\n",
" models = np.array([[\"Linear\", \"Lasso\"], [\"DT\", \"KN\"], [\"RF\", \"FNN\"]])\n",
" fig, axarr = plt.subplots(models.shape[0], models.shape[1], figsize=(15,20))\n",
" models = np.array([[\"Linear\", \"Lasso\"], [\"DT\", \"KN\"], [\"RF\", \"FNN\"], [\"RD\", \"EN\"], [\"ET\", \"Stacking\"], [\"MultiOutput\", \"GB\"], [\"AB\", \"AB\"]])\n",
" fig, axarr = plt.subplots(models.shape[0], models.shape[1], figsize=(15,20), constrained_layout=True)\n",
" for i in range(models.shape[0]):\n",
" for j in range(models.shape[1]):\n",
" plt.sca(axarr[i, j])\n",
Expand Down Expand Up @@ -4394,7 +4434,7 @@
},
{
"cell_type": "code",
"execution_count": 24,
"execution_count": null,
"id": "94e8377c",
"metadata": {
"execution": {
Expand All @@ -4418,7 +4458,7 @@
],
"source": [
"# Output Features and models to plot\n",
"models = np.array([[\"Linear\", \"Lasso\"], [\"DT\", \"KN\"], [\"RF\", \"FNN\"]])\n",
"models = np.array([[\"Linear\", \"Lasso\"], [\"DT\", \"KN\"], [\"RF\", \"FNN\"], [\"RD\", \"EN\"], [\"ET\", \"Stacking\"], [\"MultiOutput\", \"GB\"], [\"AB\", \"AB\"]])\n",
"\n",
"# Plot info\n",
"fig, axarr = plt.subplots(models.shape[0], models.shape[1], figsize=(17,22))\n",
Expand All @@ -4432,6 +4472,7 @@
" axarr[i, j].get_legend().remove()\n",
"\n",
"fig.legend([\"K-eff\", \"Max3Pin\", \"Max4Pin\", \"F-delta-H\", \"Max-Fxy\"], loc=\"upper center\", ncol=5)\n",
"plt.subplots_adjust(hspace=0.5) \n",
"plt.show()"
]
},
Expand Down
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