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@aseyboldt
Created July 21, 2023 02:20
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "8019882e-e80b-4903-a6e4-0ec9b38686d5",
"metadata": {},
"outputs": [],
"source": [
"import pymc as pm\n",
"import nutpie\n",
"import numpy as np\n",
"import sklearn\n",
"import sklearn.model_selection\n",
"import sklearn.ensemble\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "bb41ecfa-eb88-4173-a1b4-a46a4444982c",
"metadata": {},
"outputs": [],
"source": [
"with pm.Model() as model:\n",
" sd = pm.HalfNormal(\"sd\")\n",
" pm.Normal(\"mu\", sigma=sd, shape=10)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "4dcb8ce7-53ab-4367-8efd-5dfe35594849",
"metadata": {},
"outputs": [],
"source": [
"compiled = nutpie.compile_pymc_model(model)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "fffe4338-0af9-4783-99da-b702da9cafba",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"<style>\n",
" /* Turns off some styling */\n",
" progress {\n",
" /* gets rid of default border in Firefox and Opera. */\n",
" border: none;\n",
" /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
" background-size: auto;\n",
" }\n",
" progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
" background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
" }\n",
" .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
" background: #F44336;\n",
" }\n",
"</style>\n"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"\n",
" <div>\n",
" <progress value='7800' class='' max='7800' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
" 100.00% [7800/7800 00:00&lt;00:00 Chains in warmup: 0, Divergences: 679]\n",
" </div>\n",
" "
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"tr = nutpie.sample(\n",
" compiled,\n",
" seed=42,\n",
" store_gradient=True,\n",
" store_unconstrained=True,\n",
" store_mass_matrix=True,\n",
" max_energy_error=20,\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "173a509a-c5f4-4996-b810-8d0c119e9af7",
"metadata": {},
"outputs": [],
"source": [
"def find_divergence_variables(tr, *, use_gradients=True):\n",
" stats = tr.sample_stats.stack(sample=[\"chain\", \"draw\"])\n",
"\n",
" if use_gradients:\n",
" X_good = stats.gradient.values.T\n",
" X_divs = stats.divergence_start_gradient.dropna(\"sample\").values.T\n",
" else:\n",
" X_good = stats.unconstrained_draw.values.T\n",
" X_divs = stats.divergence_start.dropna(\"sample\").values.T\n",
" \n",
" X = np.concatenate([X_good, X_divs], axis=0)\n",
" is_div = np.zeros(len(X_good) + len(X_divs))\n",
" is_div[len(X_good):] = 1\n",
"\n",
" model = sklearn.ensemble.RandomForestClassifier()\n",
" cv = sklearn.model_selection.RepeatedStratifiedKFold()\n",
" scores = sklearn.model_selection.cross_val_score(\n",
" model, X, is_div, scoring='accuracy', cv=cv, n_jobs=-1, error_score='raise'\n",
" )\n",
"\n",
" model.fit(X, is_div)\n",
" importances = pd.Series(model.feature_importances_, tr.sample_stats.unconstrained_parameter)\n",
" return scores.mean(), importances.sort_values(ascending=False)\n",
"\n",
"\n",
"def plot_pair(tr, var1, var2):\n",
" fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(13, 6))\n",
"\n",
" stats = tr.sample_stats.stack(sample=[\"chain\", \"draw\"])\n",
" \n",
" draws_a = stats.unconstrained_draw.sel(unconstrained_parameter=var1)\n",
" draws_b = stats.unconstrained_draw.sel(unconstrained_parameter=var2)\n",
" grads_a = stats.gradient.sel(unconstrained_parameter=var1)\n",
" grads_b = stats.gradient.sel(unconstrained_parameter=var2)\n",
" \n",
" div_vals_a = stats.divergence_start.sel(unconstrained_parameter=var1).dropna(\"sample\")\n",
" div_vals_b = stats.divergence_start.sel(unconstrained_parameter=var2).dropna(\"sample\")\n",
" \n",
" div_grads_a = stats.divergence_start_gradient.sel(unconstrained_parameter=var1).dropna(\"sample\")\n",
" div_grads_b = stats.divergence_start_gradient.sel(unconstrained_parameter=var2).dropna(\"sample\")\n",
" \n",
" \n",
" ax1.scatter(draws_a, draws_b, marker=\".\", label=\"draw\")\n",
" ax2.scatter(grads_a, grads_b, marker=\".\", label=\"draw\")\n",
" \n",
" ax1.scatter(div_vals_a, div_vals_b, marker=\"+\", label=\"divergence\")\n",
" ax2.scatter(div_grads_a, div_grads_b, marker=\"+\", label=\"divergence\")\n",
" \n",
" ax1.set_xlabel(var1)\n",
" ax1.set_ylabel(var2)\n",
" \n",
" ax2.set_xlabel(var1)\n",
" ax2.set_ylabel(var2)\n",
" \n",
" ax1.set_title(\"values\")\n",
" ax2.set_title(\"gradients\")"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "1f8019c4-af78-48a1-ba5b-8cd1a7c93ee4",
"metadata": {},
"outputs": [],
"source": [
"score, importance = find_divergence_variables(tr, use_gradients=True)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "7eeae899-dcf7-4e79-8c0f-f70f57b07bcb",
"metadata": {},
"outputs": [
{
"data": {
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",
"text/plain": [
"<Figure size 1300x600 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"a = importance.index[0]\n",
"b = importance.index[1]\n",
"\n",
"plot_pair(tr, a, b)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "809c5841-798a-41ba-b336-24f36b6ccbba",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "dev",
"language": "python",
"name": "dev"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.4"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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