diff --git a/notebooks/Linear Regression/LR_7_2.ipynb b/notebooks/Linear Regression/LR_7_2.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..a8681673c8a69080fd34b2f111da37f48aeda681
--- /dev/null
+++ b/notebooks/Linear Regression/LR_7_2.ipynb
@@ -0,0 +1,275 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "id": "a8e187e3-0d7b-44a5-bc5b-6a85fa8592b6",
+ "metadata": {},
+ "source": [
+ "# Beispiel 7.2"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "id": "6645d58f-73f2-4bb4-ae9f-17a0b334a652",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import arviz as az\n",
+ "import matplotlib.pyplot as plt\n",
+ "import numpy as np\n",
+ "import pandas as pd\n",
+ "import pymc as pm\n",
+ "import xarray as xr\n",
+ "from scipy.interpolate import PchipInterpolator\n",
+ "from scipy.stats import linregress"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "id": "a76946c6-bb24-4032-9b40-35a2303dec27",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " TV Radio Zeitung Verkauf\n",
+ "0 230.1 37.8 69.2 22.1\n",
+ "1 44.5 39.3 45.1 10.4\n",
+ "2 17.2 45.9 69.3 9.3\n",
+ "3 151.5 41.3 58.5 18.5\n",
+ "4 180.8 10.8 58.4 12.9\n"
+ ]
+ }
+ ],
+ "source": [
+ "import pandas as pd\n",
+ "\n",
+ "werbung = pd.read_csv(\"./Daten/Werbung.csv\").drop([\"Unnamed: 0\"], axis=1)\n",
+ "\n",
+ "werbung.head()\n",
+ "print(werbung.head())"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "id": "97ef4d21-6ffb-4b9e-a973-94c6815600b3",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "Auto-assigning NUTS sampler...\n",
+ "Initializing NUTS using jitter+adapt_diag...\n",
+ "Multiprocess sampling (4 chains in 4 jobs)\n",
+ "NUTS: [sigma, Intercept, TV, Zeitung, Radio]\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">/opt/conda/lib/python3.10/site-packages/rich/live.py:231: UserWarning: install \"ipywidgets\" for Jupyter support\n",
+ " warnings.warn('install \"ipywidgets\" for Jupyter support')\n",
+ "</pre>\n"
+ ],
+ "text/plain": [
+ "/opt/conda/lib/python3.10/site-packages/rich/live.py:231: UserWarning: install \"ipywidgets\" for Jupyter support\n",
+ " warnings.warn('install \"ipywidgets\" for Jupyter support')\n"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/html": [
+ "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
+ ],
+ "text/plain": []
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 5 seconds.\n"
+ ]
+ }
+ ],
+ "source": [
+ "import bambi as bmb\n",
+ "model_trz = bmb.Model(\"Verkauf ~ TV + Zeitung + Radio\", werbung)\n",
+ "idata_trz = model_trz.fit(random_seed=123)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "id": "27f1854b-e66e-432e-aa61-66b928e73f16",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Extract posterior means of coefficients\n",
+ "beta_0 = idata_trz.posterior[\"Intercept\"].mean().item()\n",
+ "beta_tv = idata_trz.posterior[\"TV\"].mean().item()\n",
+ "beta_zeitung = idata_trz.posterior[\"Zeitung\"].mean().item()\n",
+ "beta_radio = idata_trz.posterior[\"Radio\"].mean().item()\n",
+ "\n",
+ "# Compute predictions (Å·)\n",
+ "y_pred = beta_0 + beta_tv * werbung[\"TV\"] + beta_zeitung * werbung[\"Zeitung\"] + beta_radio * werbung[\"Radio\"]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "id": "45172e19-c1df-48ed-a524-cb8408a603e4",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "R²: 0.8972105391174441\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Actual y values\n",
+ "y_obs = werbung[\"Verkauf\"].values\n",
+ "\n",
+ "# Compute total sum of squares (TSS) and residual sum of squares (RSS)\n",
+ "ss_total = np.sum((y_obs - np.mean(y_obs))**2)\n",
+ "ss_residual = np.sum((y_obs - y_pred) ** 2)\n",
+ "\n",
+ "# Compute R²\n",
+ "r2 = 1 - (ss_residual / ss_total)\n",
+ "print(\"R²:\", r2)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "id": "fd86c259-21a6-4ebc-a2c9-6d7165f6a13a",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "Auto-assigning NUTS sampler...\n",
+ "Initializing NUTS using jitter+adapt_diag...\n",
+ "Multiprocess sampling (4 chains in 4 jobs)\n",
+ "NUTS: [sigma, Intercept, TV, Zeitung, Radio]\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">/opt/conda/lib/python3.10/site-packages/rich/live.py:231: UserWarning: install \"ipywidgets\" for Jupyter support\n",
+ " warnings.warn('install \"ipywidgets\" for Jupyter support')\n",
+ "</pre>\n"
+ ],
+ "text/plain": [
+ "/opt/conda/lib/python3.10/site-packages/rich/live.py:231: UserWarning: install \"ipywidgets\" for Jupyter support\n",
+ " warnings.warn('install \"ipywidgets\" for Jupyter support')\n"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/html": [
+ "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
+ ],
+ "text/plain": []
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 5 seconds.\n"
+ ]
+ }
+ ],
+ "source": [
+ "import bambi as bmb\n",
+ "model_tr = bmb.Model(\"Verkauf ~ TV + Radio\", werbung)\n",
+ "idata_tr = model_trz.fit(random_seed=123)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "id": "125cbdce-ae89-456c-945b-b603d8cf3d7d",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Extract posterior means of coefficients\n",
+ "beta_0 = idata_trz.posterior[\"Intercept\"].mean().item()\n",
+ "beta_tv = idata_trz.posterior[\"TV\"].mean().item()\n",
+ "beta_radio = idata_trz.posterior[\"Radio\"].mean().item()\n",
+ "\n",
+ "# Compute predictions (Å·)\n",
+ "y_pred = beta_0 + beta_tv * werbung[\"TV\"] + beta_radio * werbung[\"Radio\"]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "id": "4990d7e2-8761-469b-aca8-7dc283fd8c99",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "R²: 0.897153312886268\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Actual y values\n",
+ "y_obs = werbung[\"Verkauf\"].values\n",
+ "\n",
+ "# Compute total sum of squares (TSS) and residual sum of squares (RSS)\n",
+ "ss_total = np.sum((y_obs - np.mean(y_obs))**2)\n",
+ "ss_residual = np.sum((y_obs - y_pred) ** 2)\n",
+ "\n",
+ "# Compute R²\n",
+ "r2 = 1 - (ss_residual / ss_total)\n",
+ "print(\"R²:\", r2)"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3 (ipykernel)",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.10.11"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/notebooks/Multi-Parameter Distributions/MPD_7_1.ipynb b/notebooks/Multi-Parameter Distributions/MPD_7_1.ipynb
index 279ab75734a528cfaf5dc05118e818e1d7e98517..eccb3d31c72ab0848c92950909b67ad27157bb0b 100644
--- a/notebooks/Multi-Parameter Distributions/MPD_7_1.ipynb
+++ b/notebooks/Multi-Parameter Distributions/MPD_7_1.ipynb
@@ -20,6 +20,7 @@
"name": "stderr",
"output_type": "stream",
"text": [
+ "Matplotlib is building the font cache; this may take a moment.\n",
"WARNING (pytensor.tensor.blas): Using NumPy C-API based implementation for BLAS functions.\n"
]
}
@@ -146,7 +147,7 @@
"name": "stderr",
"output_type": "stream",
"text": [
- "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 4 seconds.\n"
+ "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 2 seconds.\n"
]
}
],
@@ -160,7 +161,7 @@
},
{
"cell_type": "code",
- "execution_count": 6,
+ "execution_count": 4,
"id": "80953dbf-aaef-4d87-bffe-228de730eda3",
"metadata": {
"tags": []
@@ -194,8 +195,8 @@
" <ul class=\"xr-sections group-sections\">\n",
" \n",
" <li class = \"xr-section-item\">\n",
- " <input id=\"idata_posteriorf358607b-8695-4541-b642-fd9aecb62019\" class=\"xr-section-summary-in\" type=\"checkbox\">\n",
- " <label for=\"idata_posteriorf358607b-8695-4541-b642-fd9aecb62019\" class = \"xr-section-summary\">posterior</label>\n",
+ " <input id=\"idata_posteriorcbe33732-f7ce-495f-98c6-aff0e9ab451c\" class=\"xr-section-summary-in\" type=\"checkbox\">\n",
+ " <label for=\"idata_posteriorcbe33732-f7ce-495f-98c6-aff0e9ab451c\" class = \"xr-section-summary\">posterior</label>\n",
" <div class=\"xr-section-inline-details\"></div>\n",
" <div class=\"xr-section-details\">\n",
" <ul id=\"xr-dataset-coord-list\" class=\"xr-var-list\">\n",
@@ -229,14 +230,14 @@
" --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
"}\n",
"\n",
- "html[theme=dark],\n",
- "html[data-theme=dark],\n",
- "body[data-theme=dark],\n",
+ "html[theme=\"dark\"],\n",
+ "html[data-theme=\"dark\"],\n",
+ "body[data-theme=\"dark\"],\n",
"body.vscode-dark {\n",
" --xr-font-color0: rgba(255, 255, 255, 1);\n",
" --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
" --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
- " --xr-border-color: #1F1F1F;\n",
+ " --xr-border-color: #1f1f1f;\n",
" --xr-disabled-color: #515151;\n",
" --xr-background-color: #111111;\n",
" --xr-background-color-row-even: #111111;\n",
@@ -291,6 +292,7 @@
".xr-section-item input {\n",
" display: inline-block;\n",
" opacity: 0;\n",
+ " height: 0;\n",
"}\n",
"\n",
".xr-section-item input + label {\n",
@@ -327,7 +329,7 @@
"\n",
".xr-section-summary-in + label:before {\n",
" display: inline-block;\n",
- " content: 'â–º';\n",
+ " content: \"â–º\";\n",
" font-size: 11px;\n",
" width: 15px;\n",
" text-align: center;\n",
@@ -338,7 +340,7 @@
"}\n",
"\n",
".xr-section-summary-in:checked + label:before {\n",
- " content: 'â–¼';\n",
+ " content: \"â–¼\";\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label > span {\n",
@@ -410,15 +412,15 @@
"}\n",
"\n",
".xr-dim-list:before {\n",
- " content: '(';\n",
+ " content: \"(\";\n",
"}\n",
"\n",
".xr-dim-list:after {\n",
- " content: ')';\n",
+ " content: \")\";\n",
"}\n",
"\n",
".xr-dim-list li:not(:last-child):after {\n",
- " content: ',';\n",
+ " content: \",\";\n",
" padding-right: 5px;\n",
"}\n",
"\n",
@@ -574,39 +576,39 @@
" * chain (chain) int64 32B 0 1 2 3\n",
" * draw (draw) int64 8kB 0 1 2 3 4 5 6 7 ... 993 994 995 996 997 998 999\n",
"Data variables:\n",
- " μ (chain, draw) float64 32kB 53.23 53.18 53.06 ... 53.68 53.31 53.35\n",
- " σ (chain, draw) float64 32kB 3.321 3.217 3.037 ... 3.43 3.526 3.233\n",
+ " μ (chain, draw) float64 32kB 52.87 53.2 53.96 ... 53.92 52.93 52.91\n",
+ " σ (chain, draw) float64 32kB 3.406 3.738 3.214 ... 3.189 3.729 3.777\n",
"Attributes:\n",
- " created_at: 2024-10-13T16:50:52.084344+00:00\n",
+ " created_at: 2025-03-19T13:18:01.626297+00:00\n",
" arviz_version: 0.19.0\n",
" inference_library: pymc\n",
" inference_library_version: 5.16.2\n",
- " sampling_time: 3.5525271892547607\n",
- " tuning_steps: 1000</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-590ed7b0-4f2d-4220-90ef-da39fd591442' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-590ed7b0-4f2d-4220-90ef-da39fd591442' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>chain</span>: 4</li><li><span class='xr-has-index'>draw</span>: 1000</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-1c4852f7-028e-4dff-9b9c-cdb1a0f53b0c' class='xr-section-summary-in' type='checkbox' checked><label for='section-1c4852f7-028e-4dff-9b9c-cdb1a0f53b0c' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>chain</span></div><div class='xr-var-dims'>(chain)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3</div><input id='attrs-eef3078b-ea09-414f-970f-213bbcbf34e0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-eef3078b-ea09-414f-970f-213bbcbf34e0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-64675c5e-f883-42f8-bfd9-8858af6a8305' class='xr-var-data-in' type='checkbox'><label for='data-64675c5e-f883-42f8-bfd9-8858af6a8305' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>draw</span></div><div class='xr-var-dims'>(draw)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 995 996 997 998 999</div><input id='attrs-38332e67-d095-4c7d-be1b-b4eb2b8ea2f0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-38332e67-d095-4c7d-be1b-b4eb2b8ea2f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b06e73fd-5647-4cd2-85af-b803d860b637' class='xr-var-data-in' type='checkbox'><label for='data-b06e73fd-5647-4cd2-85af-b803d860b637' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0, 1, 2, ..., 997, 998, 999])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-13333c4f-8670-4334-b3de-3d84d57aea66' class='xr-section-summary-in' type='checkbox' checked><label for='section-13333c4f-8670-4334-b3de-3d84d57aea66' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>μ</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>53.23 53.18 53.06 ... 53.31 53.35</div><input id='attrs-9b3a5f82-8817-4fdb-9ea0-706c46ddc8ee' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9b3a5f82-8817-4fdb-9ea0-706c46ddc8ee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a917f2c0-998b-4a4e-a9d3-1c6d2637f743' class='xr-var-data-in' type='checkbox'><label for='data-a917f2c0-998b-4a4e-a9d3-1c6d2637f743' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[53.23261948, 53.18251245, 53.05875747, ..., 52.88685738,\n",
- " 52.75484103, 54.17763389],\n",
- " [53.72526718, 54.02276119, 53.15658361, ..., 52.859677 ,\n",
- " 54.31474734, 53.91129188],\n",
- " [53.65676929, 53.20304366, 53.25167534, ..., 53.51140207,\n",
- " 52.58014843, 53.81416347],\n",
- " [53.10712394, 53.52254983, 52.59475358, ..., 53.67696861,\n",
- " 53.30503397, 53.35223167]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>σ</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.321 3.217 3.037 ... 3.526 3.233</div><input id='attrs-b8fed3fd-8105-467a-befd-f5ad7787ae57' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b8fed3fd-8105-467a-befd-f5ad7787ae57' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b2baf73f-4c2c-4ee8-b4f8-c7f7f66a7a45' class='xr-var-data-in' type='checkbox'><label for='data-b2baf73f-4c2c-4ee8-b4f8-c7f7f66a7a45' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[3.32053894, 3.21658896, 3.03730853, ..., 3.05205007, 3.54593739,\n",
- " 3.41845893],\n",
- " [3.78670283, 3.22199741, 3.90740653, ..., 2.85436557, 4.50023062,\n",
- " 4.22420173],\n",
- " [3.13618167, 3.70752269, 3.55244168, ..., 3.94020484, 3.40708183,\n",
- " 3.79198683],\n",
- " [3.84814112, 3.14582526, 3.92515763, ..., 3.43023885, 3.52563954,\n",
- " 3.23332794]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-456d749d-dd73-4d60-a19f-fb77a35d8767' class='xr-section-summary-in' type='checkbox' ><label for='section-456d749d-dd73-4d60-a19f-fb77a35d8767' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>chain</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9c12b7a1-47ce-4e7a-ad10-30e918812d7d' class='xr-index-data-in' type='checkbox'/><label for='index-9c12b7a1-47ce-4e7a-ad10-30e918812d7d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3], dtype='int64', name='chain'))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>draw</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-de53be40-7088-4b1f-841a-48faee657452' class='xr-index-data-in' type='checkbox'/><label for='index-de53be40-7088-4b1f-841a-48faee657452' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9,\n",
+ " sampling_time: 2.1875197887420654\n",
+ " tuning_steps: 1000</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-02196437-a13f-4bd7-b642-956a5a87672a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-02196437-a13f-4bd7-b642-956a5a87672a' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>chain</span>: 4</li><li><span class='xr-has-index'>draw</span>: 1000</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-2e24e410-1480-44a1-8dcc-24e1a7b01063' class='xr-section-summary-in' type='checkbox' checked><label for='section-2e24e410-1480-44a1-8dcc-24e1a7b01063' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>chain</span></div><div class='xr-var-dims'>(chain)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3</div><input id='attrs-65b807d6-ad00-445a-a606-15709a182628' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-65b807d6-ad00-445a-a606-15709a182628' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-83ae18de-f0c0-4344-9ef4-1168b8a170f3' class='xr-var-data-in' type='checkbox'><label for='data-83ae18de-f0c0-4344-9ef4-1168b8a170f3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>draw</span></div><div class='xr-var-dims'>(draw)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 995 996 997 998 999</div><input id='attrs-012eb4a9-5673-4fea-8629-82a9acd2ee12' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-012eb4a9-5673-4fea-8629-82a9acd2ee12' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4da985e5-8b54-4c52-82bb-626a9d522074' class='xr-var-data-in' type='checkbox'><label for='data-4da985e5-8b54-4c52-82bb-626a9d522074' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0, 1, 2, ..., 997, 998, 999])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ce000ee8-ce62-4f11-987d-86ab7d26b6da' class='xr-section-summary-in' type='checkbox' checked><label for='section-ce000ee8-ce62-4f11-987d-86ab7d26b6da' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>μ</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>52.87 53.2 53.96 ... 52.93 52.91</div><input id='attrs-6d26ef9f-5441-4c1d-a08f-9f0975eff583' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6d26ef9f-5441-4c1d-a08f-9f0975eff583' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-645ed6c3-f87c-4a6f-aab9-8962ee62b46b' class='xr-var-data-in' type='checkbox'><label for='data-645ed6c3-f87c-4a6f-aab9-8962ee62b46b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[52.87474305, 53.19619551, 53.96368165, ..., 53.89839688,\n",
+ " 53.4716632 , 53.4716632 ],\n",
+ " [53.44928894, 52.70661497, 53.34456399, ..., 52.92942036,\n",
+ " 53.00914889, 54.70944647],\n",
+ " [53.62908582, 52.52637409, 53.33886298, ..., 54.20504728,\n",
+ " 52.87208394, 54.11731543],\n",
+ " [53.3724063 , 54.39419441, 52.5533357 , ..., 53.91555468,\n",
+ " 52.93276687, 52.90676191]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>σ</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.406 3.738 3.214 ... 3.729 3.777</div><input id='attrs-e5d48308-e39c-435f-a8cb-87fc2a47e1cf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e5d48308-e39c-435f-a8cb-87fc2a47e1cf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e62f10a9-4fd4-4659-8416-f46d18401719' class='xr-var-data-in' type='checkbox'><label for='data-e62f10a9-4fd4-4659-8416-f46d18401719' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[3.40645029, 3.73792996, 3.21442254, ..., 3.65846916, 3.10743334,\n",
+ " 3.10743334],\n",
+ " [3.92700589, 3.61621676, 3.59070864, ..., 3.36859834, 3.48876282,\n",
+ " 3.93428315],\n",
+ " [3.92647291, 3.36405912, 3.54959249, ..., 3.38314455, 3.1643757 ,\n",
+ " 3.58243302],\n",
+ " [4.11425537, 3.23128625, 3.47623458, ..., 3.18878596, 3.72924695,\n",
+ " 3.77733117]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6fa6e016-9e30-49de-a23e-fe7b00852412' class='xr-section-summary-in' type='checkbox' ><label for='section-6fa6e016-9e30-49de-a23e-fe7b00852412' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>chain</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-0fd9fb95-8d77-4125-8d4c-2e22942b311e' class='xr-index-data-in' type='checkbox'/><label for='index-0fd9fb95-8d77-4125-8d4c-2e22942b311e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3], dtype='int64', name='chain'))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>draw</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-6450faeb-daa5-4789-bda4-1914aeed93c5' class='xr-index-data-in' type='checkbox'/><label for='index-6450faeb-daa5-4789-bda4-1914aeed93c5' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9,\n",
" ...\n",
" 990, 991, 992, 993, 994, 995, 996, 997, 998, 999],\n",
- " dtype='int64', name='draw', length=1000))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d97850b5-9daf-4c28-b4dd-f6cf8ac3b2ec' class='xr-section-summary-in' type='checkbox' checked><label for='section-d97850b5-9daf-4c28-b4dd-f6cf8ac3b2ec' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>created_at :</span></dt><dd>2024-10-13T16:50:52.084344+00:00</dd><dt><span>arviz_version :</span></dt><dd>0.19.0</dd><dt><span>inference_library :</span></dt><dd>pymc</dd><dt><span>inference_library_version :</span></dt><dd>5.16.2</dd><dt><span>sampling_time :</span></dt><dd>3.5525271892547607</dd><dt><span>tuning_steps :</span></dt><dd>1000</dd></dl></div></li></ul></div></div><br></div>\n",
+ " dtype='int64', name='draw', length=1000))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ff40f49a-1d3a-4fdd-8065-3ddd007d2161' class='xr-section-summary-in' type='checkbox' checked><label for='section-ff40f49a-1d3a-4fdd-8065-3ddd007d2161' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>created_at :</span></dt><dd>2025-03-19T13:18:01.626297+00:00</dd><dt><span>arviz_version :</span></dt><dd>0.19.0</dd><dt><span>inference_library :</span></dt><dd>pymc</dd><dt><span>inference_library_version :</span></dt><dd>5.16.2</dd><dt><span>sampling_time :</span></dt><dd>2.1875197887420654</dd><dt><span>tuning_steps :</span></dt><dd>1000</dd></dl></div></li></ul></div></div><br></div>\n",
" </ul>\n",
" </div>\n",
" </li>\n",
" \n",
" <li class = \"xr-section-item\">\n",
- " <input id=\"idata_posterior_predictivec27e76f5-f947-405f-a74a-16f573525240\" class=\"xr-section-summary-in\" type=\"checkbox\">\n",
- " <label for=\"idata_posterior_predictivec27e76f5-f947-405f-a74a-16f573525240\" class = \"xr-section-summary\">posterior_predictive</label>\n",
+ " <input id=\"idata_posterior_predictive065a397a-2efb-4599-948c-6d64617fbb20\" class=\"xr-section-summary-in\" type=\"checkbox\">\n",
+ " <label for=\"idata_posterior_predictive065a397a-2efb-4599-948c-6d64617fbb20\" class = \"xr-section-summary\">posterior_predictive</label>\n",
" <div class=\"xr-section-inline-details\"></div>\n",
" <div class=\"xr-section-details\">\n",
" <ul id=\"xr-dataset-coord-list\" class=\"xr-var-list\">\n",
@@ -640,14 +642,14 @@
" --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
"}\n",
"\n",
- "html[theme=dark],\n",
- "html[data-theme=dark],\n",
- "body[data-theme=dark],\n",
+ "html[theme=\"dark\"],\n",
+ "html[data-theme=\"dark\"],\n",
+ "body[data-theme=\"dark\"],\n",
"body.vscode-dark {\n",
" --xr-font-color0: rgba(255, 255, 255, 1);\n",
" --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
" --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
- " --xr-border-color: #1F1F1F;\n",
+ " --xr-border-color: #1f1f1f;\n",
" --xr-disabled-color: #515151;\n",
" --xr-background-color: #111111;\n",
" --xr-background-color-row-even: #111111;\n",
@@ -702,6 +704,7 @@
".xr-section-item input {\n",
" display: inline-block;\n",
" opacity: 0;\n",
+ " height: 0;\n",
"}\n",
"\n",
".xr-section-item input + label {\n",
@@ -738,7 +741,7 @@
"\n",
".xr-section-summary-in + label:before {\n",
" display: inline-block;\n",
- " content: 'â–º';\n",
+ " content: \"â–º\";\n",
" font-size: 11px;\n",
" width: 15px;\n",
" text-align: center;\n",
@@ -749,7 +752,7 @@
"}\n",
"\n",
".xr-section-summary-in:checked + label:before {\n",
- " content: 'â–¼';\n",
+ " content: \"â–¼\";\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label > span {\n",
@@ -821,15 +824,15 @@
"}\n",
"\n",
".xr-dim-list:before {\n",
- " content: '(';\n",
+ " content: \"(\";\n",
"}\n",
"\n",
".xr-dim-list:after {\n",
- " content: ')';\n",
+ " content: \")\";\n",
"}\n",
"\n",
".xr-dim-list li:not(:last-child):after {\n",
- " content: ',';\n",
+ " content: \",\";\n",
" padding-right: 5px;\n",
"}\n",
"\n",
@@ -987,67 +990,67 @@
" * y_dim_2 (y_dim_2) int64 384B 0 1 2 3 4 5 6 7 8 ... 40 41 42 43 44 45 46 47\n",
" * y_dim_3 (y_dim_3) int64 8B 0\n",
"Data variables:\n",
- " y (chain, draw, y_dim_2, y_dim_3) float64 2MB 51.74 60.0 ... 52.93\n",
+ " y (chain, draw, y_dim_2, y_dim_3) float64 2MB 51.34 59.82 ... 52.41\n",
"Attributes:\n",
- " created_at: 2024-10-13T16:55:03.974523+00:00\n",
+ " created_at: 2025-03-19T13:18:01.997671+00:00\n",
" arviz_version: 0.19.0\n",
" inference_library: pymc\n",
- " inference_library_version: 5.16.2</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-ad67341b-d8a6-429d-b52b-b3007355279e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ad67341b-d8a6-429d-b52b-b3007355279e' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>chain</span>: 4</li><li><span class='xr-has-index'>draw</span>: 1000</li><li><span class='xr-has-index'>y_dim_2</span>: 48</li><li><span class='xr-has-index'>y_dim_3</span>: 1</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-89d1eed8-a40e-4994-bc34-fc0c92d31aee' class='xr-section-summary-in' type='checkbox' checked><label for='section-89d1eed8-a40e-4994-bc34-fc0c92d31aee' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>chain</span></div><div class='xr-var-dims'>(chain)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3</div><input id='attrs-0138792b-626f-403f-b693-1290830590c7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0138792b-626f-403f-b693-1290830590c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e54b28b6-b85e-44e5-b2eb-ce29a26c43f0' class='xr-var-data-in' type='checkbox'><label for='data-e54b28b6-b85e-44e5-b2eb-ce29a26c43f0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>draw</span></div><div class='xr-var-dims'>(draw)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 995 996 997 998 999</div><input id='attrs-32f5107f-9a78-4bab-bdf3-191b9f4f10d8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-32f5107f-9a78-4bab-bdf3-191b9f4f10d8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-04f7a1f2-d6a8-47b0-9f86-2878de51a6fb' class='xr-var-data-in' type='checkbox'><label for='data-04f7a1f2-d6a8-47b0-9f86-2878de51a6fb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0, 1, 2, ..., 997, 998, 999])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y_dim_2</span></div><div class='xr-var-dims'>(y_dim_2)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 42 43 44 45 46 47</div><input id='attrs-aee1286d-8694-4cf8-b7a4-1e97a486e89a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-aee1286d-8694-4cf8-b7a4-1e97a486e89a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-17031d78-6e15-4733-bcfb-37313a815f22' class='xr-var-data-in' type='checkbox'><label for='data-17031d78-6e15-4733-bcfb-37313a815f22' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
+ " inference_library_version: 5.16.2</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-ddfad215-2ac9-456c-ad75-8a48809eb9e5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ddfad215-2ac9-456c-ad75-8a48809eb9e5' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>chain</span>: 4</li><li><span class='xr-has-index'>draw</span>: 1000</li><li><span class='xr-has-index'>y_dim_2</span>: 48</li><li><span class='xr-has-index'>y_dim_3</span>: 1</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-4840f015-5ff7-4524-8d9f-a1010a9c974d' class='xr-section-summary-in' type='checkbox' checked><label for='section-4840f015-5ff7-4524-8d9f-a1010a9c974d' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>chain</span></div><div class='xr-var-dims'>(chain)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3</div><input id='attrs-302651be-ed4e-4be4-9b03-8a82eda7f5c1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-302651be-ed4e-4be4-9b03-8a82eda7f5c1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7adb833e-68d8-4481-b230-7cdcdd9bbda0' class='xr-var-data-in' type='checkbox'><label for='data-7adb833e-68d8-4481-b230-7cdcdd9bbda0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>draw</span></div><div class='xr-var-dims'>(draw)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 995 996 997 998 999</div><input id='attrs-8310e032-c157-4e7c-bbb2-7a8da79e8ea5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8310e032-c157-4e7c-bbb2-7a8da79e8ea5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d222319-18e4-47de-8161-d727cc5dd036' class='xr-var-data-in' type='checkbox'><label for='data-8d222319-18e4-47de-8161-d727cc5dd036' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0, 1, 2, ..., 997, 998, 999])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y_dim_2</span></div><div class='xr-var-dims'>(y_dim_2)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 42 43 44 45 46 47</div><input id='attrs-bc4b1b75-5ab2-4b0f-bc78-76e968a32c71' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bc4b1b75-5ab2-4b0f-bc78-76e968a32c71' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9cfd79ea-4619-4938-8abb-f1e0686bdf3e' class='xr-var-data-in' type='checkbox'><label for='data-9cfd79ea-4619-4938-8abb-f1e0686bdf3e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
" 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
- " 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y_dim_3</span></div><div class='xr-var-dims'>(y_dim_3)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-caa7286d-5800-4886-9155-5800a3f8e652' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-caa7286d-5800-4886-9155-5800a3f8e652' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-870d12ed-b7ef-4491-9514-ae1438a39f4d' class='xr-var-data-in' type='checkbox'><label for='data-870d12ed-b7ef-4491-9514-ae1438a39f4d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8be9c274-49e0-4d54-a33f-3cb53cf84946' class='xr-section-summary-in' type='checkbox' checked><label for='section-8be9c274-49e0-4d54-a33f-3cb53cf84946' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>y</span></div><div class='xr-var-dims'>(chain, draw, y_dim_2, y_dim_3)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>51.74 60.0 52.9 ... 51.38 52.93</div><input id='attrs-ca6ce269-83d7-4576-afcd-c0dfe9d81336' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ca6ce269-83d7-4576-afcd-c0dfe9d81336' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f8a129d-3da4-4179-9016-b524b4b1998c' class='xr-var-data-in' type='checkbox'><label for='data-3f8a129d-3da4-4179-9016-b524b4b1998c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[[51.73957714],\n",
- " [60.00415395],\n",
- " [52.89608826],\n",
+ " 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y_dim_3</span></div><div class='xr-var-dims'>(y_dim_3)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-370563ad-ab4a-4df6-9fde-cad1c7ac8e5a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-370563ad-ab4a-4df6-9fde-cad1c7ac8e5a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be08a6fa-9769-4aef-8c1d-20db5d8a9bfb' class='xr-var-data-in' type='checkbox'><label for='data-be08a6fa-9769-4aef-8c1d-20db5d8a9bfb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d8262df8-3728-4a93-aea6-0a89e89124d0' class='xr-section-summary-in' type='checkbox' checked><label for='section-d8262df8-3728-4a93-aea6-0a89e89124d0' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>y</span></div><div class='xr-var-dims'>(chain, draw, y_dim_2, y_dim_3)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>51.34 59.82 52.53 ... 50.6 52.41</div><input id='attrs-da0c57ed-3c67-4e75-984b-60095873d395' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-da0c57ed-3c67-4e75-984b-60095873d395' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4f342352-1167-4462-80f3-f9034dd6d37c' class='xr-var-data-in' type='checkbox'><label for='data-4f342352-1167-4462-80f3-f9034dd6d37c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[[51.34307165],\n",
+ " [59.82147549],\n",
+ " [52.52950486],\n",
" ...,\n",
- " [49.67834517],\n",
- " [49.91922993],\n",
- " [56.71858708]],\n",
+ " [49.22851002],\n",
+ " [49.47562712],\n",
+ " [56.45090209]],\n",
"\n",
- " [[54.62664302],\n",
- " [54.06501245],\n",
- " [60.19421591],\n",
+ " [[54.87438907],\n",
+ " [54.22173007],\n",
+ " [61.34434771],\n",
" ...,\n",
- " [48.43345209],\n",
- " [51.1323349 ],\n",
- " [51.97586264]],\n",
+ " [47.67741296],\n",
+ " [50.81372756],\n",
+ " [51.79397329]],\n",
"\n",
- " [[52.41277329],\n",
- " [51.21853464],\n",
- " [49.87638836],\n",
+ " [[53.28002832],\n",
+ " [52.01615025],\n",
+ " [50.59573964],\n",
" ...,\n",
"...\n",
" ...,\n",
- " [49.84917853],\n",
- " [56.86215152],\n",
- " [53.16613865]],\n",
+ " [50.35720093],\n",
+ " [56.87653406],\n",
+ " [53.4406818 ]],\n",
"\n",
- " [[55.37868563],\n",
- " [56.44263558],\n",
- " [59.02731904],\n",
+ " [[55.12617292],\n",
+ " [56.25156651],\n",
+ " [58.9855167 ],\n",
" ...,\n",
- " [53.86733241],\n",
- " [52.19221997],\n",
- " [50.3411012 ]],\n",
+ " [53.52753832],\n",
+ " [51.75568732],\n",
+ " [49.79766553]],\n",
"\n",
- " [[53.10894819],\n",
- " [56.99538444],\n",
- " [48.931168 ],\n",
+ " [[52.62254631],\n",
+ " [57.16287042],\n",
+ " [47.74186002],\n",
" ...,\n",
- " [58.51995554],\n",
- " [51.37529538],\n",
- " [52.92865879]]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d8c36f0a-fa93-450f-ad1b-fd1ae34e4c5e' class='xr-section-summary-in' type='checkbox' ><label for='section-d8c36f0a-fa93-450f-ad1b-fd1ae34e4c5e' class='xr-section-summary' >Indexes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>chain</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6e73edab-7bdf-4b07-96a7-4462db2e6e54' class='xr-index-data-in' type='checkbox'/><label for='index-6e73edab-7bdf-4b07-96a7-4462db2e6e54' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3], dtype='int64', name='chain'))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>draw</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7d54192e-cde6-48e5-8592-0d4917e29b37' class='xr-index-data-in' type='checkbox'/><label for='index-7d54192e-cde6-48e5-8592-0d4917e29b37' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9,\n",
+ " [58.94394862],\n",
+ " [50.59720866],\n",
+ " [52.41192345]]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7f65ad80-3efb-43f3-86b0-116f16d08afa' class='xr-section-summary-in' type='checkbox' ><label for='section-7f65ad80-3efb-43f3-86b0-116f16d08afa' class='xr-section-summary' >Indexes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>chain</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-017ea54d-9889-4bc5-abae-3df865b47274' class='xr-index-data-in' type='checkbox'/><label for='index-017ea54d-9889-4bc5-abae-3df865b47274' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3], dtype='int64', name='chain'))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>draw</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-a1291f90-1cc5-4f8a-bb4c-ff98e4214b38' class='xr-index-data-in' type='checkbox'/><label for='index-a1291f90-1cc5-4f8a-bb4c-ff98e4214b38' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9,\n",
" ...\n",
" 990, 991, 992, 993, 994, 995, 996, 997, 998, 999],\n",
- " dtype='int64', name='draw', length=1000))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y_dim_2</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-fc80f8ca-c8ec-4ad0-85f0-0047721c2079' class='xr-index-data-in' type='checkbox'/><label for='index-fc80f8ca-c8ec-4ad0-85f0-0047721c2079' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
+ " dtype='int64', name='draw', length=1000))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y_dim_2</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-11b7bea7-4ab7-40e0-964a-aa3452bb00ae' class='xr-index-data-in' type='checkbox'/><label for='index-11b7bea7-4ab7-40e0-964a-aa3452bb00ae' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
" 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
" 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47],\n",
- " dtype='int64', name='y_dim_2'))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y_dim_3</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0fa4a873-9150-4d08-a02a-a0a94f1a3002' class='xr-index-data-in' type='checkbox'/><label for='index-0fa4a873-9150-4d08-a02a-a0a94f1a3002' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0], dtype='int64', name='y_dim_3'))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3c84c22c-e635-42e5-9415-e81cecbb84a9' class='xr-section-summary-in' type='checkbox' checked><label for='section-3c84c22c-e635-42e5-9415-e81cecbb84a9' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>created_at :</span></dt><dd>2024-10-13T16:55:03.974523+00:00</dd><dt><span>arviz_version :</span></dt><dd>0.19.0</dd><dt><span>inference_library :</span></dt><dd>pymc</dd><dt><span>inference_library_version :</span></dt><dd>5.16.2</dd></dl></div></li></ul></div></div><br></div>\n",
+ " dtype='int64', name='y_dim_2'))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y_dim_3</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-688e7984-9bd0-45a7-9583-51792afb3657' class='xr-index-data-in' type='checkbox'/><label for='index-688e7984-9bd0-45a7-9583-51792afb3657' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0], dtype='int64', name='y_dim_3'))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5aaf8607-d28c-454a-8a2b-b93fbab9a611' class='xr-section-summary-in' type='checkbox' checked><label for='section-5aaf8607-d28c-454a-8a2b-b93fbab9a611' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>created_at :</span></dt><dd>2025-03-19T13:18:01.997671+00:00</dd><dt><span>arviz_version :</span></dt><dd>0.19.0</dd><dt><span>inference_library :</span></dt><dd>pymc</dd><dt><span>inference_library_version :</span></dt><dd>5.16.2</dd></dl></div></li></ul></div></div><br></div>\n",
" </ul>\n",
" </div>\n",
" </li>\n",
" \n",
" <li class = \"xr-section-item\">\n",
- " <input id=\"idata_sample_stats3094411e-f416-40de-908c-6848a554d354\" class=\"xr-section-summary-in\" type=\"checkbox\">\n",
- " <label for=\"idata_sample_stats3094411e-f416-40de-908c-6848a554d354\" class = \"xr-section-summary\">sample_stats</label>\n",
+ " <input id=\"idata_sample_stats1e01b063-ad7f-488b-940b-f4e29dc796b6\" class=\"xr-section-summary-in\" type=\"checkbox\">\n",
+ " <label for=\"idata_sample_stats1e01b063-ad7f-488b-940b-f4e29dc796b6\" class = \"xr-section-summary\">sample_stats</label>\n",
" <div class=\"xr-section-inline-details\"></div>\n",
" <div class=\"xr-section-details\">\n",
" <ul id=\"xr-dataset-coord-list\" class=\"xr-var-list\">\n",
@@ -1081,14 +1084,14 @@
" --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
"}\n",
"\n",
- "html[theme=dark],\n",
- "html[data-theme=dark],\n",
- "body[data-theme=dark],\n",
+ "html[theme=\"dark\"],\n",
+ "html[data-theme=\"dark\"],\n",
+ "body[data-theme=\"dark\"],\n",
"body.vscode-dark {\n",
" --xr-font-color0: rgba(255, 255, 255, 1);\n",
" --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
" --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
- " --xr-border-color: #1F1F1F;\n",
+ " --xr-border-color: #1f1f1f;\n",
" --xr-disabled-color: #515151;\n",
" --xr-background-color: #111111;\n",
" --xr-background-color-row-even: #111111;\n",
@@ -1143,6 +1146,7 @@
".xr-section-item input {\n",
" display: inline-block;\n",
" opacity: 0;\n",
+ " height: 0;\n",
"}\n",
"\n",
".xr-section-item input + label {\n",
@@ -1179,7 +1183,7 @@
"\n",
".xr-section-summary-in + label:before {\n",
" display: inline-block;\n",
- " content: 'â–º';\n",
+ " content: \"â–º\";\n",
" font-size: 11px;\n",
" width: 15px;\n",
" text-align: center;\n",
@@ -1190,7 +1194,7 @@
"}\n",
"\n",
".xr-section-summary-in:checked + label:before {\n",
- " content: 'â–¼';\n",
+ " content: \"â–¼\";\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label > span {\n",
@@ -1262,15 +1266,15 @@
"}\n",
"\n",
".xr-dim-list:before {\n",
- " content: '(';\n",
+ " content: \"(\";\n",
"}\n",
"\n",
".xr-dim-list:after {\n",
- " content: ')';\n",
+ " content: \")\";\n",
"}\n",
"\n",
".xr-dim-list li:not(:last-child):after {\n",
- " content: ',';\n",
+ " content: \",\";\n",
" padding-right: 5px;\n",
"}\n",
"\n",
@@ -1426,127 +1430,127 @@
" * chain (chain) int64 32B 0 1 2 3\n",
" * draw (draw) int64 8kB 0 1 2 3 4 5 ... 995 996 997 998 999\n",
"Data variables: (12/17)\n",
- " acceptance_rate (chain, draw) float64 32kB 0.9823 0.9202 ... 0.9129\n",
+ " acceptance_rate (chain, draw) float64 32kB 0.7979 0.8998 ... 0.9705\n",
" diverging (chain, draw) bool 4kB False False ... False False\n",
- " energy (chain, draw) float64 32kB 131.2 130.4 ... 130.5\n",
- " energy_error (chain, draw) float64 32kB -0.3593 ... 0.03753\n",
- " index_in_trajectory (chain, draw) int64 32kB 1 -1 1 1 1 -3 ... 3 2 0 3 -2\n",
+ " energy (chain, draw) float64 32kB 131.5 131.7 ... 131.0\n",
+ " energy_error (chain, draw) float64 32kB 0.1648 ... 0.02993\n",
+ " index_in_trajectory (chain, draw) int64 32kB -1 -2 2 0 -2 ... -3 -1 2 -1\n",
" largest_eigval (chain, draw) float64 32kB nan nan nan ... nan nan\n",
" ... ...\n",
- " process_time_diff (chain, draw) float64 32kB 0.0005456 ... 0.0005263\n",
+ " process_time_diff (chain, draw) float64 32kB 0.0006074 ... 0.000412\n",
" reached_max_treedepth (chain, draw) bool 4kB False False ... False False\n",
" smallest_eigval (chain, draw) float64 32kB nan nan nan ... nan nan\n",
- " step_size (chain, draw) float64 32kB 1.203 1.203 ... 0.9818\n",
- " step_size_bar (chain, draw) float64 32kB 1.104 1.104 ... 1.036\n",
- " tree_depth (chain, draw) int64 32kB 2 1 1 2 2 2 ... 2 2 2 2 2 2\n",
+ " step_size (chain, draw) float64 32kB 1.823 1.823 ... 1.24 1.24\n",
+ " step_size_bar (chain, draw) float64 32kB 1.188 1.188 ... 1.081\n",
+ " tree_depth (chain, draw) int64 32kB 2 2 2 1 2 2 ... 1 2 2 2 2 1\n",
"Attributes:\n",
- " created_at: 2024-10-13T16:50:52.100578+00:00\n",
+ " created_at: 2025-03-19T13:18:01.661695+00:00\n",
" arviz_version: 0.19.0\n",
" inference_library: pymc\n",
" inference_library_version: 5.16.2\n",
- " sampling_time: 3.5525271892547607\n",
- " tuning_steps: 1000</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-0c489ef3-fee7-497e-a542-80545d951c2a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0c489ef3-fee7-497e-a542-80545d951c2a' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>chain</span>: 4</li><li><span class='xr-has-index'>draw</span>: 1000</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-2c8abe2f-0059-43d3-a6eb-e1df07b4499f' class='xr-section-summary-in' type='checkbox' checked><label for='section-2c8abe2f-0059-43d3-a6eb-e1df07b4499f' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>chain</span></div><div class='xr-var-dims'>(chain)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3</div><input id='attrs-75d26120-4bcc-4ed3-a7a1-8c40e585e0e1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-75d26120-4bcc-4ed3-a7a1-8c40e585e0e1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-12bad50c-a76c-4701-a7a3-84ba96f8889f' class='xr-var-data-in' type='checkbox'><label for='data-12bad50c-a76c-4701-a7a3-84ba96f8889f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>draw</span></div><div class='xr-var-dims'>(draw)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 995 996 997 998 999</div><input id='attrs-106cfc87-0386-4f6c-a6b6-0dae4675b716' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-106cfc87-0386-4f6c-a6b6-0dae4675b716' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b7c5b6d-4944-4203-8556-7adbf66839f6' class='xr-var-data-in' type='checkbox'><label for='data-9b7c5b6d-4944-4203-8556-7adbf66839f6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0, 1, 2, ..., 997, 998, 999])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2e4506d3-baa3-4003-afd0-5b253ba81357' class='xr-section-summary-in' type='checkbox' ><label for='section-2e4506d3-baa3-4003-afd0-5b253ba81357' class='xr-section-summary' >Data variables: <span>(17)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>acceptance_rate</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9823 0.9202 ... 0.9831 0.9129</div><input id='attrs-756b85f8-9734-4895-a2e8-0585fe142b5f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-756b85f8-9734-4895-a2e8-0585fe142b5f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-439c1ef8-e6b7-41b3-aa8e-8814c416e763' class='xr-var-data-in' type='checkbox'><label for='data-439c1ef8-e6b7-41b3-aa8e-8814c416e763' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.98233142, 0.9201508 , 0.72828057, ..., 1. , 1. ,\n",
- " 1. ],\n",
- " [0.84745381, 0.87863004, 0.85667218, ..., 0.80435482, 0.98775848,\n",
- " 1. ],\n",
- " [1. , 1. , 1. , ..., 0.84996779, 0.84830199,\n",
+ " sampling_time: 2.1875197887420654\n",
+ " tuning_steps: 1000</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-01b7a854-2c5d-43d4-9f37-a389fda3bb8b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-01b7a854-2c5d-43d4-9f37-a389fda3bb8b' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>chain</span>: 4</li><li><span class='xr-has-index'>draw</span>: 1000</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-ab9326d3-cf9e-42af-80fa-6d3c48ac121d' class='xr-section-summary-in' type='checkbox' checked><label for='section-ab9326d3-cf9e-42af-80fa-6d3c48ac121d' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>chain</span></div><div class='xr-var-dims'>(chain)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3</div><input id='attrs-2eee7344-c5c9-4e58-b169-bb672b0286c9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2eee7344-c5c9-4e58-b169-bb672b0286c9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-97cb6724-7e6e-4b99-bc22-e11a428ed103' class='xr-var-data-in' type='checkbox'><label for='data-97cb6724-7e6e-4b99-bc22-e11a428ed103' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>draw</span></div><div class='xr-var-dims'>(draw)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 995 996 997 998 999</div><input id='attrs-a14751fb-6095-4f85-b30c-7c5141fde4e5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a14751fb-6095-4f85-b30c-7c5141fde4e5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3e58a75f-5020-4cd6-be5c-9b2ca65eeb63' class='xr-var-data-in' type='checkbox'><label for='data-3e58a75f-5020-4cd6-be5c-9b2ca65eeb63' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0, 1, 2, ..., 997, 998, 999])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fe25203a-1f9e-495e-82db-2029ca43744d' class='xr-section-summary-in' type='checkbox' ><label for='section-fe25203a-1f9e-495e-82db-2029ca43744d' class='xr-section-summary' >Data variables: <span>(17)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>acceptance_rate</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.7979 0.8998 ... 0.8626 0.9705</div><input id='attrs-90ed610b-8326-4205-903e-93203c7a18f8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-90ed610b-8326-4205-903e-93203c7a18f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-12b382e0-f2cf-4ef8-84c0-56ceef430db1' class='xr-var-data-in' type='checkbox'><label for='data-12b382e0-f2cf-4ef8-84c0-56ceef430db1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.79792099, 0.89982757, 0.96031375, ..., 0.99999595, 0.88435208,\n",
+ " 0.45039559],\n",
+ " [1. , 0.91501636, 1. , ..., 0.81788599, 1. ,\n",
+ " 0.38978998],\n",
+ " [0.83345461, 0.74658734, 1. , ..., 1. , 0.50055777,\n",
" 1. ],\n",
- " [0.97257294, 0.93319246, 0.32041334, ..., 0.813945 , 0.98310079,\n",
- " 0.91287219]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>diverging</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>bool</div><div class='xr-var-preview xr-preview'>False False False ... False False</div><input id='attrs-fb4690e7-dd52-4523-a8a7-0ab6c5856632' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fb4690e7-dd52-4523-a8a7-0ab6c5856632' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8993b4d3-6493-4903-a7b8-f219bd04e152' class='xr-var-data-in' type='checkbox'><label for='data-8993b4d3-6493-4903-a7b8-f219bd04e152' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[False, False, False, ..., False, False, False],\n",
+ " [0.79209379, 0.86757642, 0.68684326, ..., 0.91428891, 0.86260453,\n",
+ " 0.97051069]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>diverging</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>bool</div><div class='xr-var-preview xr-preview'>False False False ... False False</div><input id='attrs-0e924ff0-21ac-42ff-ab31-f87e121f3088' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0e924ff0-21ac-42ff-ab31-f87e121f3088' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-134ae90c-3378-4d81-af09-2566fa5acaef' class='xr-var-data-in' type='checkbox'><label for='data-134ae90c-3378-4d81-af09-2566fa5acaef' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[False, False, False, ..., False, False, False],\n",
" [False, False, False, ..., False, False, False],\n",
" [False, False, False, ..., False, False, False],\n",
- " [False, False, False, ..., False, False, False]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>energy</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>131.2 130.4 131.3 ... 130.1 130.5</div><input id='attrs-3ad4887a-22ca-4c99-b9f2-e9926c633827' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3ad4887a-22ca-4c99-b9f2-e9926c633827' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de4654f1-8fd1-4b3e-b4b1-490c5c601a10' class='xr-var-data-in' type='checkbox'><label for='data-de4654f1-8fd1-4b3e-b4b1-490c5c601a10' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[131.19091503, 130.41935028, 131.33910596, ..., 132.44913327,\n",
- " 132.25887889, 131.14988804],\n",
- " [131.0180807 , 131.52426119, 132.36925829, ..., 135.68535857,\n",
- " 134.09522099, 133.38022683],\n",
- " [130.92808258, 130.48102424, 130.22242544, ..., 130.84844841,\n",
- " 132.36011807, 131.51635626],\n",
- " [132.19928038, 131.54915516, 135.35139367, ..., 130.94586712,\n",
- " 130.11157009, 130.51005873]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>energy_error</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.3593 0.08322 ... 0.03753</div><input id='attrs-7dab5f7b-7a39-439d-aa8d-26a5dc7a53af' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7dab5f7b-7a39-439d-aa8d-26a5dc7a53af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee2c5fa6-6d53-4ff5-80bb-9e09a1fdba59' class='xr-var-data-in' type='checkbox'><label for='data-ee2c5fa6-6d53-4ff5-80bb-9e09a1fdba59' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-0.35930722, 0.08321771, 0.31706891, ..., -0.25877446,\n",
- " -0.30030873, -0.0532621 ],\n",
- " [ 0.13235953, 0.0593723 , 0.00539839, ..., -0.47077221,\n",
- " 0.0374159 , -0.23553976],\n",
- " [-0.27263982, -0.05775146, -0.06321763, ..., 0.25962611,\n",
- " 0.30333856, -0.38015259],\n",
- " [-0.36433533, -0.2160436 , 0.60675273, ..., 0. ,\n",
- " 0.00572578, 0.03752763]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>index_in_trajectory</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 -1 1 1 1 -3 -1 ... -2 3 2 0 3 -2</div><input id='attrs-82563cd0-eae4-49b1-a12e-52446461f243' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-82563cd0-eae4-49b1-a12e-52446461f243' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4a92906a-325d-43ac-b01f-5576c3e35c11' class='xr-var-data-in' type='checkbox'><label for='data-4a92906a-325d-43ac-b01f-5576c3e35c11' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 1, -1, 1, ..., -2, 1, -3],\n",
- " [ 1, -2, 3, ..., 1, -3, 1],\n",
- " [-1, 2, 1, ..., -2, -2, 2],\n",
- " [-2, 3, 2, ..., 0, 3, -2]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>largest_eigval</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-10181b9a-a094-45b4-aa4f-1f2d11aa18e8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-10181b9a-a094-45b4-aa4f-1f2d11aa18e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ba649ae-5b65-465f-9809-5c3f3d857c76' class='xr-var-data-in' type='checkbox'><label for='data-8ba649ae-5b65-465f-9809-5c3f3d857c76' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
+ " [False, False, False, ..., False, False, False]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>energy</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>131.5 131.7 130.6 ... 131.5 131.0</div><input id='attrs-709d19f3-04dd-4e62-a5d3-13b41dacf4ba' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-709d19f3-04dd-4e62-a5d3-13b41dacf4ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c45795d-a972-4fd1-a5c5-b7ad52b61613' class='xr-var-data-in' type='checkbox'><label for='data-6c45795d-a972-4fd1-a5c5-b7ad52b61613' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[131.51200285, 131.711268 , 130.64965678, ..., 131.02498301,\n",
+ " 130.95175649, 131.53995313],\n",
+ " [130.98847083, 131.68859971, 130.94393698, ..., 132.39947446,\n",
+ " 130.63399397, 135.4337436 ],\n",
+ " [131.59356146, 132.63865438, 131.37076202, ..., 132.24331263,\n",
+ " 133.61730164, 131.08219726],\n",
+ " [131.88861169, 133.2274752 , 133.38994301, ..., 130.90120875,\n",
+ " 131.49205148, 131.04159927]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>energy_error</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1648 -0.04214 ... 0.02993</div><input id='attrs-c52663f8-5cea-49ac-b3fd-f7e90075957d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c52663f8-5cea-49ac-b3fd-f7e90075957d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-35850906-bfab-4ae5-8b88-89b1ffc58256' class='xr-var-data-in' type='checkbox'><label for='data-35850906-bfab-4ae5-8b88-89b1ffc58256' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0.16475342, -0.04213594, 0.11168819, ..., -0.25120366,\n",
+ " -0.00960077, 0. ],\n",
+ " [-0.01193614, 0.04232269, -0.28449123, ..., -0.22432634,\n",
+ " -0.09346809, 1.01290724],\n",
+ " [ 0.13354072, 0.43052059, -0.62020265, ..., -0.71239663,\n",
+ " 0.60430078, -0.18812152],\n",
+ " [ 0.30223495, 0.30741412, 0.34491794, ..., 0.09810645,\n",
+ " -0.03313635, 0.02993286]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>index_in_trajectory</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-1 -2 2 0 -2 1 ... -1 -3 -3 -1 2 -1</div><input id='attrs-57963196-e085-41e7-8871-47b11d60fd4c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-57963196-e085-41e7-8871-47b11d60fd4c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a474154f-8d34-4789-a8f2-1b6de3e516be' class='xr-var-data-in' type='checkbox'><label for='data-a474154f-8d34-4789-a8f2-1b6de3e516be' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-1, -2, 2, ..., -1, -1, 0],\n",
+ " [-1, -1, 1, ..., 2, 1, -1],\n",
+ " [ 3, -2, 1, ..., 1, -2, -2],\n",
+ " [ 3, 2, -3, ..., -1, 2, -1]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>largest_eigval</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-5fb89591-2e66-4bc3-ae18-af8ed51beeb9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5fb89591-2e66-4bc3-ae18-af8ed51beeb9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-122434a4-220d-463b-b255-f749eeb0a42d' class='xr-var-data-in' type='checkbox'><label for='data-122434a4-220d-463b-b255-f749eeb0a42d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
" [nan, nan, nan, ..., nan, nan, nan],\n",
" [nan, nan, nan, ..., nan, nan, nan],\n",
- " [nan, nan, nan, ..., nan, nan, nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lp</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-130.1 -130.4 ... -130.0 -130.1</div><input id='attrs-5ace2106-d6ab-43e1-b995-3505fd0134db' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5ace2106-d6ab-43e1-b995-3505fd0134db' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0ce41c7-9b55-47ce-a78b-0fb6308d5f68' class='xr-var-data-in' type='checkbox'><label for='data-b0ce41c7-9b55-47ce-a78b-0fb6308d5f68' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-130.10971049, -130.36148843, -131.22979234, ..., -131.626767 ,\n",
- " -130.97736249, -130.83176282],\n",
- " [-130.34742887, -130.75082089, -130.73795739, ..., -133.02991673,\n",
- " -133.47566227, -131.80040698],\n",
- " [-130.40551379, -130.26628605, -130.0372137 , ..., -130.64073597,\n",
- " -131.64172585, -130.43851267],\n",
- " [-130.65294074, -130.31604114, -131.88157395, ..., -129.94745787,\n",
- " -129.97577584, -130.14226251]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>max_energy_error</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.3593 0.08322 ... 0.04354 0.1923</div><input id='attrs-b535fd4b-1faf-4fde-a6e1-e439582d54b7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b535fd4b-1faf-4fde-a6e1-e439582d54b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c3b411b-a6c7-4197-86fe-5d7ee331fe5e' class='xr-var-data-in' type='checkbox'><label for='data-9c3b411b-a6c7-4197-86fe-5d7ee331fe5e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-0.35930722, 0.08321771, 0.31706891, ..., -0.29018412,\n",
- " -0.30030873, -0.17690912],\n",
- " [ 0.40596205, 0.2170257 , 0.28001157, ..., -0.47077221,\n",
- " -0.53641729, -0.23553976],\n",
- " [-0.27263982, -0.10931441, -0.06321763, ..., 0.25962611,\n",
- " 0.30333856, -0.38015259],\n",
- " [-0.36433533, 0.21751894, 2.45598624, ..., 0.30450419,\n",
- " 0.04353744, 0.19225052]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>n_steps</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.0 1.0 1.0 3.0 ... 3.0 3.0 3.0 3.0</div><input id='attrs-d5317dd5-f702-4181-b0f4-a4ef96654d36' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d5317dd5-f702-4181-b0f4-a4ef96654d36' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b51c3ac2-8b83-42ea-946a-b3702969147b' class='xr-var-data-in' type='checkbox'><label for='data-b51c3ac2-8b83-42ea-946a-b3702969147b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[3., 1., 1., ..., 3., 3., 3.],\n",
- " [3., 3., 3., ..., 3., 3., 1.],\n",
- " [1., 3., 1., ..., 3., 3., 3.],\n",
- " [3., 3., 3., ..., 3., 3., 3.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>perf_counter_diff</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0005454 0.0002798 ... 0.0005262</div><input id='attrs-d6030922-4b20-454b-80ab-1d2c983bf3e8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d6030922-4b20-454b-80ab-1d2c983bf3e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-edd80a82-58a3-4e4b-bd42-7860df581f0f' class='xr-var-data-in' type='checkbox'><label for='data-edd80a82-58a3-4e4b-bd42-7860df581f0f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.00054541, 0.00027978, 0.00027614, ..., 0.00063151, 0.00060207,\n",
- " 0.0005959 ],\n",
- " [0.00063947, 0.00063165, 0.00061651, ..., 0.00052794, 0.00054546,\n",
- " 0.0003091 ],\n",
- " [0.00091833, 0.00119509, 0.00050863, ..., 0.0005161 , 0.00050907,\n",
- " 0.00051113],\n",
- " [0.0014636 , 0.00146821, 0.00139667, ..., 0.00048676, 0.00049692,\n",
- " 0.00052621]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>perf_counter_start</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.136e+06 4.136e+06 ... 4.136e+06</div><input id='attrs-039a5645-5a34-44ab-be7f-84aba2db4062' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-039a5645-5a34-44ab-be7f-84aba2db4062' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ac5802b9-99e2-4df2-b4f1-0f1cb928f4c5' class='xr-var-data-in' type='checkbox'><label for='data-ac5802b9-99e2-4df2-b4f1-0f1cb928f4c5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[4135721.03959939, 4135721.04030435, 4135721.04072397, ...,\n",
- " 4135722.43649118, 4135722.4372895 , 4135722.43805224],\n",
- " [4135721.16133643, 4135721.16217489, 4135721.1629728 , ...,\n",
- " 4135722.53532741, 4135722.53602953, 4135722.53674517],\n",
- " [4135721.13614271, 4135721.13956542, 4135721.14107429, ...,\n",
- " 4135722.63322503, 4135722.6338902 , 4135722.63454816],\n",
- " [4135721.30518586, 4135721.30703612, 4135721.3088868 , ...,\n",
- " 4135722.77030724, 4135722.77093305, 4135722.77156876]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>process_time_diff</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0005456 0.0002807 ... 0.0005263</div><input id='attrs-0ed15fcb-3390-4b6c-978f-722e01612e3b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0ed15fcb-3390-4b6c-978f-722e01612e3b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e4ccfd84-d286-4817-b665-929d6630195d' class='xr-var-data-in' type='checkbox'><label for='data-e4ccfd84-d286-4817-b665-929d6630195d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.0005456 , 0.00028066, 0.00027682, ..., 0.00063288, 0.00060338,\n",
- " 0.00059713],\n",
- " [0.00063986, 0.0006329 , 0.00061771, ..., 0.00052919, 0.00054699,\n",
- " 0.00031033],\n",
- " [0.00079344, 0.001162 , 0.00051004, ..., 0.00051735, 0.00051064,\n",
- " 0.0005123 ],\n",
- " [0.00146425, 0.00146951, 0.0013982 , ..., 0.00048736, 0.00049749,\n",
- " 0.0005263 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>reached_max_treedepth</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>bool</div><div class='xr-var-preview xr-preview'>False False False ... False False</div><input id='attrs-d771608f-593e-41c5-8793-271d4dd41b02' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d771608f-593e-41c5-8793-271d4dd41b02' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fda612d8-c930-4c6e-ba2b-832a9a4e9596' class='xr-var-data-in' type='checkbox'><label for='data-fda612d8-c930-4c6e-ba2b-832a9a4e9596' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[False, False, False, ..., False, False, False],\n",
+ " [nan, nan, nan, ..., nan, nan, nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lp</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-130.7 -130.3 ... -130.7 -130.8</div><input id='attrs-0fad0977-4146-4688-9ce8-384f4931a44b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0fad0977-4146-4688-9ce8-384f4931a44b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3effc86-f4e3-46a0-bac6-480f55eecc91' class='xr-var-data-in' type='checkbox'><label for='data-f3effc86-f4e3-46a0-bac6-480f55eecc91' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-130.69939099, -130.32507047, -130.63475738, ..., -130.32012118,\n",
+ " -130.44352618, -130.44352618],\n",
+ " [-130.6082252 , -131.13908661, -129.99813993, ..., -130.59920256,\n",
+ " -130.36265716, -132.89577378],\n",
+ " [-130.62832974, -131.92650271, -129.96714432, ..., -130.94630131,\n",
+ " -131.20467578, -130.65920868],\n",
+ " [-131.20528211, -131.94068812, -131.66718447, ..., -130.60414607,\n",
+ " -130.70719513, -130.83758624]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>max_energy_error</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.2632 0.3574 ... 0.3693 0.02993</div><input id='attrs-6d73e72d-6a14-4a33-81f8-c070a7c644a8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6d73e72d-6a14-4a33-81f8-c070a7c644a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e89b7e6a-ce97-4b67-bcaf-c9b47d5cd516' class='xr-var-data-in' type='checkbox'><label for='data-e89b7e6a-ce97-4b67-bcaf-c9b47d5cd516' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0.26316149, 0.35741422, -0.13717102, ..., -0.25120366,\n",
+ " 0.21718953, 0.797629 ],\n",
+ " [-0.17491513, 0.1885537 , -0.28449123, ..., 0.45237617,\n",
+ " -0.09346809, 2.6052669 ],\n",
+ " [ 0.4694086 , 0.43052059, -0.62020265, ..., -0.80406465,\n",
+ " 1.09589618, -0.44689216],\n",
+ " [ 0.450802 , 0.30741412, 0.5106574 , ..., 0.17875075,\n",
+ " 0.3692728 , 0.02993286]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>n_steps</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.0 3.0 3.0 1.0 ... 3.0 3.0 3.0 1.0</div><input id='attrs-d337480a-cae5-4c7b-b00a-fa22085f7af0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d337480a-cae5-4c7b-b00a-fa22085f7af0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ec4be650-25fb-4fa8-84cf-ed372260e089' class='xr-var-data-in' type='checkbox'><label for='data-ec4be650-25fb-4fa8-84cf-ed372260e089' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[3., 3., 3., ..., 3., 3., 1.],\n",
+ " [3., 3., 3., ..., 3., 1., 3.],\n",
+ " [3., 3., 3., ..., 3., 3., 3.],\n",
+ " [3., 3., 3., ..., 3., 3., 1.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>perf_counter_diff</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0006068 0.0009142 ... 0.0004112</div><input id='attrs-01550c05-7b72-4a0d-938a-f64e3b3130d5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-01550c05-7b72-4a0d-938a-f64e3b3130d5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44d95fd8-74cc-494f-89e3-976cba3b5fe3' class='xr-var-data-in' type='checkbox'><label for='data-44d95fd8-74cc-494f-89e3-976cba3b5fe3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.00060683, 0.00091422, 0.00065711, ..., 0.00056121, 0.00063096,\n",
+ " 0.00031638],\n",
+ " [0.00070667, 0.00060245, 0.00058008, ..., 0.00057894, 0.00032669,\n",
+ " 0.00059684],\n",
+ " [0.00080347, 0.00081011, 0.00063724, ..., 0.00061178, 0.00058437,\n",
+ " 0.00058251],\n",
+ " [0.00061695, 0.00059909, 0.00058734, ..., 0.00078536, 0.00077919,\n",
+ " 0.00041121]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>perf_counter_start</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>8.467e+06 8.467e+06 ... 8.467e+06</div><input id='attrs-6097b176-5436-4ace-afc5-4f26e8b6b966' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6097b176-5436-4ace-afc5-4f26e8b6b966' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45668345-5e7c-46a0-8041-d2eb1074e353' class='xr-var-data-in' type='checkbox'><label for='data-45668345-5e7c-46a0-8041-d2eb1074e353' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[8467095.97598259, 8467095.97675897, 8467095.97783994, ...,\n",
+ " 8467096.71342678, 8467096.71414343, 8467096.71492966],\n",
+ " [8467096.05371151, 8467096.05460757, 8467096.05537647, ...,\n",
+ " 8467096.85320091, 8467096.85391505, 8467096.85441908],\n",
+ " [8467096.02089957, 8467096.02194074, 8467096.02292597, ...,\n",
+ " 8467096.80215896, 8467096.80292145, 8467096.8036485 ],\n",
+ " [8467096.16146957, 8467096.16226455, 8467096.16301826, ...,\n",
+ " 8467097.01017232, 8467097.01118537, 8467097.01220153]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>process_time_diff</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0006074 0.0009159 ... 0.000412</div><input id='attrs-e21f2928-9b91-4507-a24b-5b2acfd2b0b3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e21f2928-9b91-4507-a24b-5b2acfd2b0b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-176fdb3f-bdc3-463d-88ac-00e20b229448' class='xr-var-data-in' type='checkbox'><label for='data-176fdb3f-bdc3-463d-88ac-00e20b229448' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.00060737, 0.00091594, 0.00065835, ..., 0.00056189, 0.00063216,\n",
+ " 0.00031699],\n",
+ " [0.00070784, 0.00060344, 0.00058119, ..., 0.00057959, 0.00032767,\n",
+ " 0.00059793],\n",
+ " [0.00080441, 0.00081053, 0.00063849, ..., 0.00061284, 0.00058525,\n",
+ " 0.00058309],\n",
+ " [0.00061749, 0.00059977, 0.00058835, ..., 0.00078661, 0.00077973,\n",
+ " 0.00041198]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>reached_max_treedepth</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>bool</div><div class='xr-var-preview xr-preview'>False False False ... False False</div><input id='attrs-d984c07c-4b17-4dc4-8087-eb1be7bf06ce' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d984c07c-4b17-4dc4-8087-eb1be7bf06ce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fd2d1f52-c492-4002-9f8b-14d073799d3a' class='xr-var-data-in' type='checkbox'><label for='data-fd2d1f52-c492-4002-9f8b-14d073799d3a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[False, False, False, ..., False, False, False],\n",
" [False, False, False, ..., False, False, False],\n",
" [False, False, False, ..., False, False, False],\n",
- " [False, False, False, ..., False, False, False]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>smallest_eigval</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-3550d901-ed76-4dbe-b9f1-c92d4b6bd93c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3550d901-ed76-4dbe-b9f1-c92d4b6bd93c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-75e80411-db74-4a23-b7e1-89d4e4d8c8dc' class='xr-var-data-in' type='checkbox'><label for='data-75e80411-db74-4a23-b7e1-89d4e4d8c8dc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
+ " [False, False, False, ..., False, False, False]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>smallest_eigval</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-fda7fb95-aade-4f6c-83a8-a36537108fe2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fda7fb95-aade-4f6c-83a8-a36537108fe2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-99e9c104-2783-4120-9223-d04732d17b82' class='xr-var-data-in' type='checkbox'><label for='data-99e9c104-2783-4120-9223-d04732d17b82' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
" [nan, nan, nan, ..., nan, nan, nan],\n",
" [nan, nan, nan, ..., nan, nan, nan],\n",
- " [nan, nan, nan, ..., nan, nan, nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>step_size</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.203 1.203 1.203 ... 0.9818 0.9818</div><input id='attrs-6074ecaf-7fc8-41e6-8c0b-b2c7b5673062' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6074ecaf-7fc8-41e6-8c0b-b2c7b5673062' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-302bda79-340a-43ce-b421-0bf16b6b6cf4' class='xr-var-data-in' type='checkbox'><label for='data-302bda79-340a-43ce-b421-0bf16b6b6cf4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.2029647 , 1.2029647 , 1.2029647 , ..., 1.2029647 , 1.2029647 ,\n",
- " 1.2029647 ],\n",
- " [1.414844 , 1.414844 , 1.414844 , ..., 1.414844 , 1.414844 ,\n",
- " 1.414844 ],\n",
- " [1.34163623, 1.34163623, 1.34163623, ..., 1.34163623, 1.34163623,\n",
- " 1.34163623],\n",
- " [0.98177644, 0.98177644, 0.98177644, ..., 0.98177644, 0.98177644,\n",
- " 0.98177644]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>step_size_bar</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.104 1.104 1.104 ... 1.036 1.036</div><input id='attrs-f9052a32-f9ae-48bd-951d-43cef1fe927c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f9052a32-f9ae-48bd-951d-43cef1fe927c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5c5521e2-87d2-44db-bc16-f92881887bdd' class='xr-var-data-in' type='checkbox'><label for='data-5c5521e2-87d2-44db-bc16-f92881887bdd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.10443619, 1.10443619, 1.10443619, ..., 1.10443619, 1.10443619,\n",
- " 1.10443619],\n",
- " [1.08544818, 1.08544818, 1.08544818, ..., 1.08544818, 1.08544818,\n",
- " 1.08544818],\n",
- " [1.05973092, 1.05973092, 1.05973092, ..., 1.05973092, 1.05973092,\n",
- " 1.05973092],\n",
- " [1.03643435, 1.03643435, 1.03643435, ..., 1.03643435, 1.03643435,\n",
- " 1.03643435]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tree_depth</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>2 1 1 2 2 2 2 2 ... 2 2 2 2 2 2 2 2</div><input id='attrs-7b558199-e630-40ba-a402-cd6496b28ec9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7b558199-e630-40ba-a402-cd6496b28ec9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6cd51d40-65e4-4a70-8615-38abbb3b7f70' class='xr-var-data-in' type='checkbox'><label for='data-6cd51d40-65e4-4a70-8615-38abbb3b7f70' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[2, 1, 1, ..., 2, 2, 2],\n",
- " [2, 2, 2, ..., 2, 2, 1],\n",
- " [1, 2, 1, ..., 2, 2, 2],\n",
- " [2, 2, 2, ..., 2, 2, 2]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-07a0ebd1-cdc7-4c4c-87d4-3449dffc1815' class='xr-section-summary-in' type='checkbox' ><label for='section-07a0ebd1-cdc7-4c4c-87d4-3449dffc1815' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>chain</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3c26ca2f-3175-4b64-a1b4-78cb1eac8d58' class='xr-index-data-in' type='checkbox'/><label for='index-3c26ca2f-3175-4b64-a1b4-78cb1eac8d58' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3], dtype='int64', name='chain'))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>draw</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e9292f89-ed9b-46e5-b1a5-1bf604fcbcc7' class='xr-index-data-in' type='checkbox'/><label for='index-e9292f89-ed9b-46e5-b1a5-1bf604fcbcc7' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9,\n",
+ " [nan, nan, nan, ..., nan, nan, nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>step_size</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.823 1.823 1.823 ... 1.24 1.24</div><input id='attrs-a5341598-f3d6-4af5-8cc4-32abece0082d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a5341598-f3d6-4af5-8cc4-32abece0082d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-189588ff-af5c-4291-91c1-0686afd06f86' class='xr-var-data-in' type='checkbox'><label for='data-189588ff-af5c-4291-91c1-0686afd06f86' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.82265066, 1.82265066, 1.82265066, ..., 1.82265066, 1.82265066,\n",
+ " 1.82265066],\n",
+ " [0.8493574 , 0.8493574 , 0.8493574 , ..., 0.8493574 , 0.8493574 ,\n",
+ " 0.8493574 ],\n",
+ " [1.0754537 , 1.0754537 , 1.0754537 , ..., 1.0754537 , 1.0754537 ,\n",
+ " 1.0754537 ],\n",
+ " [1.23955234, 1.23955234, 1.23955234, ..., 1.23955234, 1.23955234,\n",
+ " 1.23955234]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>step_size_bar</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.188 1.188 1.188 ... 1.081 1.081</div><input id='attrs-63ca0633-261c-4bd3-9d09-35853eb273e3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-63ca0633-261c-4bd3-9d09-35853eb273e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-82d64c57-69aa-436e-aa8e-7462bf2b7898' class='xr-var-data-in' type='checkbox'><label for='data-82d64c57-69aa-436e-aa8e-7462bf2b7898' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.18796714, 1.18796714, 1.18796714, ..., 1.18796714, 1.18796714,\n",
+ " 1.18796714],\n",
+ " [1.06064336, 1.06064336, 1.06064336, ..., 1.06064336, 1.06064336,\n",
+ " 1.06064336],\n",
+ " [1.12122313, 1.12122313, 1.12122313, ..., 1.12122313, 1.12122313,\n",
+ " 1.12122313],\n",
+ " [1.08120921, 1.08120921, 1.08120921, ..., 1.08120921, 1.08120921,\n",
+ " 1.08120921]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tree_depth</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>2 2 2 1 2 2 2 2 ... 1 2 1 2 2 2 2 1</div><input id='attrs-5605e257-39d3-4ba9-9453-48ef5f76cc99' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5605e257-39d3-4ba9-9453-48ef5f76cc99' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-296db331-ee93-4608-a32b-b800dfe9e7a3' class='xr-var-data-in' type='checkbox'><label for='data-296db331-ee93-4608-a32b-b800dfe9e7a3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[2, 2, 2, ..., 2, 2, 1],\n",
+ " [2, 2, 2, ..., 2, 1, 2],\n",
+ " [2, 2, 2, ..., 2, 2, 2],\n",
+ " [2, 2, 2, ..., 2, 2, 1]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-88b14325-db74-40fe-b0d1-9deaefab3bbb' class='xr-section-summary-in' type='checkbox' ><label for='section-88b14325-db74-40fe-b0d1-9deaefab3bbb' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>chain</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-bb2d0344-4f01-45f1-b644-09719927c1d1' class='xr-index-data-in' type='checkbox'/><label for='index-bb2d0344-4f01-45f1-b644-09719927c1d1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3], dtype='int64', name='chain'))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>draw</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-1edd6d6f-a1af-4e6b-8861-5526c1abe206' class='xr-index-data-in' type='checkbox'/><label for='index-1edd6d6f-a1af-4e6b-8861-5526c1abe206' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9,\n",
" ...\n",
" 990, 991, 992, 993, 994, 995, 996, 997, 998, 999],\n",
- " dtype='int64', name='draw', length=1000))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8358c3a9-1e6f-483e-8cbd-56211f1091a9' class='xr-section-summary-in' type='checkbox' checked><label for='section-8358c3a9-1e6f-483e-8cbd-56211f1091a9' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>created_at :</span></dt><dd>2024-10-13T16:50:52.100578+00:00</dd><dt><span>arviz_version :</span></dt><dd>0.19.0</dd><dt><span>inference_library :</span></dt><dd>pymc</dd><dt><span>inference_library_version :</span></dt><dd>5.16.2</dd><dt><span>sampling_time :</span></dt><dd>3.5525271892547607</dd><dt><span>tuning_steps :</span></dt><dd>1000</dd></dl></div></li></ul></div></div><br></div>\n",
+ " dtype='int64', name='draw', length=1000))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-792ca585-1ec5-44b1-9c21-b161793f683a' class='xr-section-summary-in' type='checkbox' checked><label for='section-792ca585-1ec5-44b1-9c21-b161793f683a' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>created_at :</span></dt><dd>2025-03-19T13:18:01.661695+00:00</dd><dt><span>arviz_version :</span></dt><dd>0.19.0</dd><dt><span>inference_library :</span></dt><dd>pymc</dd><dt><span>inference_library_version :</span></dt><dd>5.16.2</dd><dt><span>sampling_time :</span></dt><dd>2.1875197887420654</dd><dt><span>tuning_steps :</span></dt><dd>1000</dd></dl></div></li></ul></div></div><br></div>\n",
" </ul>\n",
" </div>\n",
" </li>\n",
" \n",
" <li class = \"xr-section-item\">\n",
- " <input id=\"idata_observed_data63156ff0-9b7f-4522-89d0-9bb2c93ea913\" class=\"xr-section-summary-in\" type=\"checkbox\">\n",
- " <label for=\"idata_observed_data63156ff0-9b7f-4522-89d0-9bb2c93ea913\" class = \"xr-section-summary\">observed_data</label>\n",
+ " <input id=\"idata_observed_dataca7a4fe5-c287-4ea4-8aff-392d9c3ea725\" class=\"xr-section-summary-in\" type=\"checkbox\">\n",
+ " <label for=\"idata_observed_dataca7a4fe5-c287-4ea4-8aff-392d9c3ea725\" class = \"xr-section-summary\">observed_data</label>\n",
" <div class=\"xr-section-inline-details\"></div>\n",
" <div class=\"xr-section-details\">\n",
" <ul id=\"xr-dataset-coord-list\" class=\"xr-var-list\">\n",
@@ -1580,14 +1584,14 @@
" --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
"}\n",
"\n",
- "html[theme=dark],\n",
- "html[data-theme=dark],\n",
- "body[data-theme=dark],\n",
+ "html[theme=\"dark\"],\n",
+ "html[data-theme=\"dark\"],\n",
+ "body[data-theme=\"dark\"],\n",
"body.vscode-dark {\n",
" --xr-font-color0: rgba(255, 255, 255, 1);\n",
" --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
" --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
- " --xr-border-color: #1F1F1F;\n",
+ " --xr-border-color: #1f1f1f;\n",
" --xr-disabled-color: #515151;\n",
" --xr-background-color: #111111;\n",
" --xr-background-color-row-even: #111111;\n",
@@ -1642,6 +1646,7 @@
".xr-section-item input {\n",
" display: inline-block;\n",
" opacity: 0;\n",
+ " height: 0;\n",
"}\n",
"\n",
".xr-section-item input + label {\n",
@@ -1678,7 +1683,7 @@
"\n",
".xr-section-summary-in + label:before {\n",
" display: inline-block;\n",
- " content: 'â–º';\n",
+ " content: \"â–º\";\n",
" font-size: 11px;\n",
" width: 15px;\n",
" text-align: center;\n",
@@ -1689,7 +1694,7 @@
"}\n",
"\n",
".xr-section-summary-in:checked + label:before {\n",
- " content: 'â–¼';\n",
+ " content: \"â–¼\";\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label > span {\n",
@@ -1761,15 +1766,15 @@
"}\n",
"\n",
".xr-dim-list:before {\n",
- " content: '(';\n",
+ " content: \"(\";\n",
"}\n",
"\n",
".xr-dim-list:after {\n",
- " content: ')';\n",
+ " content: \")\";\n",
"}\n",
"\n",
".xr-dim-list li:not(:last-child):after {\n",
- " content: ',';\n",
+ " content: \",\";\n",
" padding-right: 5px;\n",
"}\n",
"\n",
@@ -1927,12 +1932,12 @@
"Data variables:\n",
" y (y_dim_0, y_dim_1) float64 384B 51.06 55.12 53.73 ... 53.84 53.16\n",
"Attributes:\n",
- " created_at: 2024-10-13T16:50:52.106181+00:00\n",
+ " created_at: 2025-03-19T13:18:01.667983+00:00\n",
" arviz_version: 0.19.0\n",
" inference_library: pymc\n",
- " inference_library_version: 5.16.2</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-3f8e9f69-818c-48f9-8c64-6d35d11bdb40' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3f8e9f69-818c-48f9-8c64-6d35d11bdb40' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y_dim_0</span>: 48</li><li><span class='xr-has-index'>y_dim_1</span>: 1</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d6ada524-a790-4fb2-917a-12fdf182e306' class='xr-section-summary-in' type='checkbox' checked><label for='section-d6ada524-a790-4fb2-917a-12fdf182e306' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y_dim_0</span></div><div class='xr-var-dims'>(y_dim_0)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 42 43 44 45 46 47</div><input id='attrs-83f5440d-be07-4105-bb4c-bc3c44b65601' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-83f5440d-be07-4105-bb4c-bc3c44b65601' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-24558f26-b91b-4259-b2cf-2e069423ee31' class='xr-var-data-in' type='checkbox'><label for='data-24558f26-b91b-4259-b2cf-2e069423ee31' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
+ " inference_library_version: 5.16.2</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-04a5de78-aa68-40ad-8bc2-07c2f8715563' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-04a5de78-aa68-40ad-8bc2-07c2f8715563' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y_dim_0</span>: 48</li><li><span class='xr-has-index'>y_dim_1</span>: 1</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-f9519b71-3c46-400c-9582-7b22cffec306' class='xr-section-summary-in' type='checkbox' checked><label for='section-f9519b71-3c46-400c-9582-7b22cffec306' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y_dim_0</span></div><div class='xr-var-dims'>(y_dim_0)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 42 43 44 45 46 47</div><input id='attrs-86dc43f6-5fb4-49bd-a633-a8506a926080' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-86dc43f6-5fb4-49bd-a633-a8506a926080' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-05a1901e-a73f-421c-8bd9-e563026a8b9c' class='xr-var-data-in' type='checkbox'><label for='data-05a1901e-a73f-421c-8bd9-e563026a8b9c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
" 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
- " 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y_dim_1</span></div><div class='xr-var-dims'>(y_dim_1)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-0c72d3a4-9801-4a07-8582-03b557cfca0f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0c72d3a4-9801-4a07-8582-03b557cfca0f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b8399c01-84f4-4179-ae1f-bcc13a606a62' class='xr-var-data-in' type='checkbox'><label for='data-b8399c01-84f4-4179-ae1f-bcc13a606a62' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cc8134ff-af7b-4270-acb4-539f2e7432e3' class='xr-section-summary-in' type='checkbox' checked><label for='section-cc8134ff-af7b-4270-acb4-539f2e7432e3' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>y</span></div><div class='xr-var-dims'>(y_dim_0, y_dim_1)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>51.06 55.12 53.73 ... 53.84 53.16</div><input id='attrs-75599a2c-b32c-4cf1-913b-5ca238d4d314' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-75599a2c-b32c-4cf1-913b-5ca238d4d314' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8828c8bd-f823-4844-93d9-2ab24d72fa02' class='xr-var-data-in' type='checkbox'><label for='data-8828c8bd-f823-4844-93d9-2ab24d72fa02' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[51.06],\n",
+ " 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y_dim_1</span></div><div class='xr-var-dims'>(y_dim_1)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-f1f75366-0941-47a6-a579-f12938c1b41a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f1f75366-0941-47a6-a579-f12938c1b41a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-06d2b14a-2d03-4c6d-876f-d6be150688dc' class='xr-var-data-in' type='checkbox'><label for='data-06d2b14a-2d03-4c6d-876f-d6be150688dc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-81d1641e-085a-4b56-9be6-e60aa30a7727' class='xr-section-summary-in' type='checkbox' checked><label for='section-81d1641e-085a-4b56-9be6-e60aa30a7727' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>y</span></div><div class='xr-var-dims'>(y_dim_0, y_dim_1)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>51.06 55.12 53.73 ... 53.84 53.16</div><input id='attrs-2f121361-d176-408f-b300-21c28ef78ac0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2f121361-d176-408f-b300-21c28ef78ac0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9616b687-3401-4e44-b0a0-854993000d5f' class='xr-var-data-in' type='checkbox'><label for='data-9616b687-3401-4e44-b0a0-854993000d5f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[51.06],\n",
" [55.12],\n",
" [53.73],\n",
" [50.24],\n",
@@ -1972,10 +1977,10 @@
" [52.42],\n",
" [54.3 ],\n",
" [53.84],\n",
- " [53.16]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-25e6db25-d933-4319-8ac6-3f430fa49e03' class='xr-section-summary-in' type='checkbox' ><label for='section-25e6db25-d933-4319-8ac6-3f430fa49e03' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>y_dim_0</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e6e607fc-8dd8-4b02-8bb7-981eb6d8c6dd' class='xr-index-data-in' type='checkbox'/><label for='index-e6e607fc-8dd8-4b02-8bb7-981eb6d8c6dd' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
+ " [53.16]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-60517bae-3c47-4986-bd39-5b8bef580c0b' class='xr-section-summary-in' type='checkbox' ><label for='section-60517bae-3c47-4986-bd39-5b8bef580c0b' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>y_dim_0</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-a7e988ab-e806-489b-a8c1-7e7839946855' class='xr-index-data-in' type='checkbox'/><label for='index-a7e988ab-e806-489b-a8c1-7e7839946855' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
" 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
" 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47],\n",
- " dtype='int64', name='y_dim_0'))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y_dim_1</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5e709680-2c43-473e-914d-e675675f8027' class='xr-index-data-in' type='checkbox'/><label for='index-5e709680-2c43-473e-914d-e675675f8027' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0], dtype='int64', name='y_dim_1'))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d410beeb-0fdd-40c8-8f8a-55ec9540c348' class='xr-section-summary-in' type='checkbox' checked><label for='section-d410beeb-0fdd-40c8-8f8a-55ec9540c348' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>created_at :</span></dt><dd>2024-10-13T16:50:52.106181+00:00</dd><dt><span>arviz_version :</span></dt><dd>0.19.0</dd><dt><span>inference_library :</span></dt><dd>pymc</dd><dt><span>inference_library_version :</span></dt><dd>5.16.2</dd></dl></div></li></ul></div></div><br></div>\n",
+ " dtype='int64', name='y_dim_0'))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y_dim_1</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-b285520c-09b7-4743-90a1-4282a75e648f' class='xr-index-data-in' type='checkbox'/><label for='index-b285520c-09b7-4743-90a1-4282a75e648f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0], dtype='int64', name='y_dim_1'))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-10672edc-0f2a-4085-8182-cf5dbe99fbf4' class='xr-section-summary-in' type='checkbox' checked><label for='section-10672edc-0f2a-4085-8182-cf5dbe99fbf4' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>created_at :</span></dt><dd>2025-03-19T13:18:01.667983+00:00</dd><dt><span>arviz_version :</span></dt><dd>0.19.0</dd><dt><span>inference_library :</span></dt><dd>pymc</dd><dt><span>inference_library_version :</span></dt><dd>5.16.2</dd></dl></div></li></ul></div></div><br></div>\n",
" </ul>\n",
" </div>\n",
" </li>\n",
@@ -2332,7 +2337,7 @@
"\t> observed_data"
]
},
- "execution_count": 6,
+ "execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}