04_2PL_MDNRMb_gamma_numpyro.ipynb

{"cells":[{"cell_type":"markdown","metadata":{"id":"view-in-github"},"source":["<a href=\"https://colab.research.google.com/github/jurader/2PL-MDNRM/blob/main/04_2PL_MDNRMb_gamma_numpyro.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"]},{"cell_type":"markdown","metadata":{"id":"aXuHT7ESzWcn"},"source":["# MDNRMb with gamma distribution\n"]},{"cell_type":"code","execution_count":4,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"SbNsogL9zWcn","outputId":"48e9a262-4132-4a1c-8d29-fb145246cac0","executionInfo":{"status":"ok","timestamp":1712354159827,"user_tz":-540,"elapsed":18339,"user":{"displayName":"Eiji Ohta","userId":"15998100295259505885"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m292.7/292.7 kB\u001b[0m \u001b[31m1.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.6/1.6 MB\u001b[0m \u001b[31m25.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25h"]}],"source":["! pip install -q numpyro==0.10.1 watermark==2.3.1"]},{"cell_type":"code","execution_count":5,"metadata":{"id":"K6MbPew0gKQ_","executionInfo":{"status":"ok","timestamp":1712354159827,"user_tz":-540,"elapsed":3,"user":{"displayName":"Eiji Ohta","userId":"15998100295259505885"}}},"outputs":[],"source":["import numpy as np\n","import pandas as pd\n","\n","import matplotlib.pyplot as plt\n","import seaborn as sns"]},{"cell_type":"code","execution_count":6,"metadata":{"id":"ukB0HOcOzWco","executionInfo":{"status":"ok","timestamp":1712354162954,"user_tz":-540,"elapsed":3129,"user":{"displayName":"Eiji Ohta","userId":"15998100295259505885"}}},"outputs":[],"source":["import jax\n","import numpyro\n","import numpyro.distributions as dist\n","\n","import arviz as az\n","import jax.numpy as jnp"]},{"cell_type":"code","execution_count":7,"metadata":{"id":"U03BclmYzWco","executionInfo":{"status":"ok","timestamp":1712354162954,"user_tz":-540,"elapsed":4,"user":{"displayName":"Eiji Ohta","userId":"15998100295259505885"}}},"outputs":[],"source":["numpyro.set_platform('cpu')\n","numpyro.set_host_device_count(8)"]},{"cell_type":"markdown","metadata":{"id":"YQiPeoTmzWco"},"source":["## Import & Check Data"]},{"cell_type":"code","execution_count":8,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"nnc9cu91zbzD","outputId":"9459c212-876f-4535-9cc9-7000e8b277fc","executionInfo":{"status":"ok","timestamp":1712354163265,"user_tz":-540,"elapsed":314,"user":{"displayName":"Eiji Ohta","userId":"15998100295259505885"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["--2024-04-05 21:56:02--  https://filedn.com/lpAczQGgeBjkX6l7SpI5JJy/__ws/stan_irt_nrm_rad/nrm_ground_truth_and_results.csv\n","Resolving filedn.com (filedn.com)... 74.120.9.25\n","Connecting to filedn.com (filedn.com)|74.120.9.25|:443... connected.\n","HTTP request sent, awaiting response... 200 OK\n","Length: 2272 (2.2K) [text/csv]\n","Saving to: ‘ground_truth_and_results.csv’\n","\n","\r          ground_tr   0%[                    ]       0  --.-KB/s               \rground_truth_and_re 100%[===================>]   2.22K  --.-KB/s    in 0s      \n","\n","2024-04-05 21:56:02 (883 MB/s) - ‘ground_truth_and_results.csv’ saved [2272/2272]\n","\n"]}],"source":["! wget https://filedn.com/lpAczQGgeBjkX6l7SpI5JJy/__ws/stan_irt_nrm_rad/nrm_ground_truth_and_results.csv -O ground_truth_and_results.csv"]},{"cell_type":"code","execution_count":9,"metadata":{"id":"6d34VYxOdiz3","executionInfo":{"status":"ok","timestamp":1712354163265,"user_tz":-540,"elapsed":11,"user":{"displayName":"Eiji Ohta","userId":"15998100295259505885"}}},"outputs":[],"source":["df = pd.read_csv('./ground_truth_and_results.csv')"]},{"cell_type":"code","execution_count":10,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":206},"id":"mA8nVf1qiG7r","outputId":"ef328172-5c78-4971-c304-08c4177d9fcd","executionInfo":{"status":"ok","timestamp":1712354163265,"user_tz":-540,"elapsed":11,"user":{"displayName":"Eiji Ohta","userId":"15998100295259505885"}}},"outputs":[{"output_type":"execute_result","data":{"text/plain":["   GT  MN  YU  EN  HM  DK  YW\n","0   1   1   0   1   1   1   1\n","1   1   1   1   1   1   1   0\n","2   0   1   0   0   0   0   0\n","3   1   1   1   2   2   2   2\n","4   1   1   1   1   1   2   2"],"text/html":["\n","  <div id=\"df-e932fec3-42f3-4bc2-8581-a77dafe10620\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>GT</th>\n","      <th>MN</th>\n","      <th>YU</th>\n","      <th>EN</th>\n","      <th>HM</th>\n","      <th>DK</th>\n","      <th>YW</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>2</td>\n","      <td>2</td>\n","      <td>2</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>2</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-e932fec3-42f3-4bc2-8581-a77dafe10620')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    .colab-df-buttons div {\n","      margin-bottom: 4px;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","    <script>\n","      const buttonEl =\n","        document.querySelector('#df-e932fec3-42f3-4bc2-8581-a77dafe10620 button.colab-df-convert');\n","      buttonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 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Ohta","userId":"15998100295259505885"}}},"outputs":[],"source":["df = df + 1\n"]},{"cell_type":"code","execution_count":12,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":206},"id":"kXSVRtDhkOmi","outputId":"db855b2a-64d3-4013-8f4b-1cf869a5d406","executionInfo":{"status":"ok","timestamp":1712354163266,"user_tz":-540,"elapsed":11,"user":{"displayName":"Eiji Ohta","userId":"15998100295259505885"}}},"outputs":[{"output_type":"execute_result","data":{"text/plain":["   GT  MN  YU  EN  HM  DK  YW\n","0   2   2   1   2   2   2   2\n","1   2   2   2   2   2   2   1\n","2   1   2   1   1   1   1   1\n","3   2   2   2   3   3   3   3\n","4   2   2   2   2   2   3   3"],"text/html":["\n","  <div id=\"df-631b9781-ac7d-42bb-a8d2-6f3749b9fb10\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    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    3.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"}},"metadata":{},"execution_count":13}],"source":["df.describe()"]},{"cell_type":"code","execution_count":14,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"Kdi0fXEDijkm","outputId":"7a36712d-f23c-4bd3-9c42-55f2ab03ee76","executionInfo":{"status":"ok","timestamp":1712354163267,"user_tz":-540,"elapsed":10,"user":{"displayName":"Eiji Ohta","userId":"15998100295259505885"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["0 0\n","1 50\n","2 50\n","3 50\n"]}],"source":["print( 0, (df[\"GT\"]==0).sum() )\n","print( 1, (df[\"GT\"]==1).sum() )\n","print( 2, (df[\"GT\"]==2).sum() )\n","print( 3, (df[\"GT\"]==2).sum() )\n","\n","# 1 -> normal\n","# 2 -> non-COVID19 pneumonia\n","# 3 -> COVID19 pneumonia"]},{"cell_type":"markdown","metadata":{"id":"p5M6z3FbzWcp"},"source":["## Convert Data"]},{"cell_type":"code","execution_count":15,"metadata":{"id":"Dccdo8NAzWcp","executionInfo":{"status":"ok","timestamp":1712354163267,"user_tz":-540,"elapsed":8,"user":{"displayName":"Eiji Ohta","userId":"15998100295259505885"}}},"outputs":[],"source":["num_classes = 3"]},{"cell_type":"code","execution_count":16,"metadata":{"id":"WdTyR9Buk5lA","executionInfo":{"status":"ok","timestamp":1712354163267,"user_tz":-540,"elapsed":8,"user":{"displayName":"Eiji Ohta","userId":"15998100295259505885"}}},"outputs":[],"source":["rad_resp = df.iloc[:,1:].copy()\n"]},{"cell_type":"code","execution_count":17,"metadata":{"id":"gnCFgoKQj0a2","executionInfo":{"status":"ok","timestamp":1712354163542,"user_tz":-540,"elapsed":16,"user":{"displayName":"Eiji Ohta","userId":"15998100295259505885"}}},"outputs":[],"source":["num_cases = rad_resp.shape[0]\n","num_doctors = rad_resp.shape[1]\n","gt_types = df[\"GT\"]\n"]},{"cell_type":"code","execution_count":18,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"4J66KTdDlekC","outputId":"de97355e-64cf-4f48-9206-8c6b651fd267","executionInfo":{"status":"ok","timestamp":1712354163543,"user_tz":-540,"elapsed":16,"user":{"displayName":"Eiji Ohta","userId":"15998100295259505885"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["150\n","6\n"]}],"source":["print(num_cases)\n","print(num_doctors)"]},{"cell_type":"code","execution_count":19,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"PP8y40CslC3C","outputId":"0adabe2f-39c7-4efd-b867-5981c5c128f1","executionInfo":{"status":"ok","timestamp":1712354163543,"user_tz":-540,"elapsed":14,"user":{"displayName":"Eiji Ohta","userId":"15998100295259505885"}}},"outputs":[{"output_type":"execute_result","data":{"text/plain":["0      2\n","1      2\n","2      1\n","3      2\n","4      2\n","      ..\n","145    2\n","146    2\n","147    3\n","148    3\n","149    3\n","Name: GT, Length: 150, dtype: int64"]},"metadata":{},"execution_count":19}],"source":["gt_types"]},{"cell_type":"code","execution_count":20,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":424},"id":"ilpKXzE3k-tm","outputId":"15b77863-9046-441c-ae56-02167dc197e2","executionInfo":{"status":"ok","timestamp":1712354163543,"user_tz":-540,"elapsed":12,"user":{"displayName":"Eiji Ohta","userId":"15998100295259505885"}}},"outputs":[{"output_type":"execute_result","data":{"text/plain":["     MN  YU  EN  HM  DK  YW\n","0     2   1   2   2   2   2\n","1     2   2   2   2   2   1\n","2     2   1   1   1   1   1\n","3     2   2   3   3   3   3\n","4     2   2   2   2   3   3\n","..   ..  ..  ..  ..  ..  ..\n","145   2   2   2   3   3   3\n","146   2   2   2   2   2   2\n","147   3   3   2   3   3   3\n","148   3   3   3   1   2   3\n","149   3   2   3   2   2   2\n","\n","[150 rows x 6 columns]"],"text/html":["\n","  <div id=\"df-7ff440e0-744d-47d6-bc17-98d97367f17c\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>MN</th>\n","      <th>YU</th>\n","      <th>EN</th>\n","      <th>HM</th>\n","      <th>DK</th>\n","      <th>YW</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>2</td>\n","      <td>2</td>\n","      <td>2</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>2</td>\n","      <td>2</td>\n","      <td>2</td>\n","      <td>2</td>\n","      <td>2</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      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<td>2</td>\n","      <td>2</td>\n","    </tr>\n","    <tr>\n","      <th>147</th>\n","      <td>3</td>\n","      <td>3</td>\n","      <td>2</td>\n","      <td>3</td>\n","      <td>3</td>\n","      <td>3</td>\n","    </tr>\n","    <tr>\n","      <th>148</th>\n","      <td>3</td>\n","      <td>3</td>\n","      <td>3</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>3</td>\n","    </tr>\n","    <tr>\n","      <th>149</th>\n","      <td>3</td>\n","      <td>2</td>\n","      <td>3</td>\n","      <td>2</td>\n","      <td>2</td>\n","      <td>2</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>150 rows × 6 columns</p>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-7ff440e0-744d-47d6-bc17-98d97367f17c')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg 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3\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"EN\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 1,\n        \"max\": 3,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          2,\n          1,\n          3\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"HM\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 1,\n        \"max\": 3,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          2,\n          1,\n          3\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"DK\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 1,\n        \"max\": 3,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          2,\n          1,\n          3\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"YW\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 1,\n        \"max\": 3,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          2,\n          1,\n          3\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"}},"metadata":{},"execution_count":20}],"source":["rad_resp"]},{"cell_type":"code","execution_count":21,"metadata":{"id":"y0pmIkI_zWcp","executionInfo":{"status":"ok","timestamp":1712354163543,"user_tz":-540,"elapsed":10,"user":{"displayName":"Eiji Ohta","userId":"15998100295259505885"}}},"outputs":[],"source":["num_classes = 3"]},{"cell_type":"code","execution_count":22,"metadata":{"id":"WoitygN0zWcp","executionInfo":{"status":"ok","timestamp":1712354163543,"user_tz":-540,"elapsed":9,"user":{"displayName":"Eiji Ohta","userId":"15998100295259505885"}}},"outputs":[],"source":["y = rad_resp.to_numpy() - 1\n","y_true = gt_types.to_numpy() - 1"]},{"cell_type":"code","execution_count":23,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"2r2n_0EnzWcp","outputId":"9621ab9e-b4ae-4000-9e18-54f8823bebd9","executionInfo":{"status":"ok","timestamp":1712354163543,"user_tz":-540,"elapsed":9,"user":{"displayName":"Eiji Ohta","userId":"15998100295259505885"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["(150, 6)\n","(150,)\n"]}],"source":["print(y.shape)\n","print(y_true.shape)"]},{"cell_type":"markdown","metadata":{"id":"SqzB0ltjzWcq"},"source":["## Generate Index"]},{"cell_type":"code","execution_count":24,"metadata":{"id":"OBv-IJ1gzWcq","executionInfo":{"status":"ok","timestamp":1712354163543,"user_tz":-540,"elapsed":7,"user":{"displayName":"Eiji Ohta","userId":"15998100295259505885"}}},"outputs":[],"source":["i_alpha = np.zeros((num_cases, num_doctors, num_classes), dtype=int)\n","\n","for i in range(num_cases):\n","    for j in range(num_doctors):\n","        for k in range(num_classes):\n","            i_alpha[i, j, k] = k"]},{"cell_type":"markdown","metadata":{"id":"P4bbiO0SzWcq"},"source":["## Define Model\n","\n","### Overview of Paramters\n","\n","**theta**: radiologist's ability\n","- theta.shape: (number of classes) x (number of radiologists) x (number of classes)\n","\n","**alpha**: item's discrimination\n","- alpha.shape: (number of classes)\n","\n","**beta**: difficulty based on class\n","- beta.shape: (number of items) x (number of classes)\n"]},{"cell_type":"code","execution_count":25,"metadata":{"id":"7af-qrPVzWcq","executionInfo":{"status":"ok","timestamp":1712354163543,"user_tz":-540,"elapsed":6,"user":{"displayName":"Eiji Ohta","userId":"15998100295259505885"}}},"outputs":[],"source":["theta_sd = 2\n","beta_sd = 2"]},{"cell_type":"code","execution_count":26,"metadata":{"id":"TRZjNCsrzWcq","executionInfo":{"status":"ok","timestamp":1712354163543,"user_tz":-540,"elapsed":6,"user":{"displayName":"Eiji Ohta","userId":"15998100295259505885"}}},"outputs":[],"source":["def model(y=None, y_true=None, i_alpha=None, num_cases=0, num_doctors=0, num_classes=0):\n","\n","    theta = numpyro.sample('theta', dist.Normal(0, theta_sd), sample_shape=(num_classes, num_doctors, num_classes))\n","    alpha = numpyro.sample('alpha', dist.Gamma(2, 2), sample_shape=(num_cases,))\n","    beta = numpyro.sample('beta', dist.Normal(0, beta_sd), sample_shape=(num_cases, 1, num_classes))\n","\n","    beta_tiled = jnp.tile(beta, (1, num_doctors, 1))\n","\n","    # logits.shape : (num_cases, num_doctors, num_classes)\n","    logits = theta[y_true, :, :] * alpha[i_alpha] + beta_tiled\n","\n","    numpyro.sample('obs', dist.Categorical(logits=logits), obs=y)"]},{"cell_type":"markdown","metadata":{"id":"P23PyE8_zWcq"},"source":["## Inference"]},{"cell_type":"code","execution_count":27,"metadata":{"id":"IPSOabLWzWcq","executionInfo":{"status":"ok","timestamp":1712354163544,"user_tz":-540,"elapsed":6,"user":{"displayName":"Eiji Ohta","userId":"15998100295259505885"}}},"outputs":[],"source":["nuts = numpyro.infer.NUTS(model)"]},{"cell_type":"code","execution_count":28,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":308,"referenced_widgets":["fd7b4e2a6e0a44f58b372876f4ae3874","405b40a5d9534a00b5d5a450f2451859","df3d821b85cc46d69a59f78f1941a3f5","9d9f87e4796241208c7b3f6f30ceeb02","64f1851f648049a981a928088a039e3b","b3dd95e30fef4389a4b0d9bd0b3387b4","cc7eecc8e218485185ac9fdabc9f07eb","22c2d18f912d44bba22b29fda71fa2a0","58a5f0c0062647f0870415d383c2132e","ccf81bf5bbd14d9aa584c307f0abe1e3","ece5a22bd1bb434bbb0fc65adf3b818b","81575f09b6904c3f89772f5743e196ec","79f7b38814b741039e090062846ae1e8","e40248b7c8ee42fc833dbeb05fbf1ad0","c95163532db14fadb0b3c70c66ef55e5","42dd89b9b3a845f29702f980708d37cc","0ecde0eef60a418ebfafa3272d3d58ca","4cd285f0cb7941b497821ce2c31966f1","d4e79d06add24e41888f0ab207cb4bca","98f664a99a36475d8558ec51f68829de","62bb81e9300544ad951d0a07820f42bc","594eb0e0163d4c61b06fd940c0e08168","f728414ebc714a6a98652ccd39a7df84","49df9707ed1941e9b861b50b4015594e","be349b0e41264dad8c76b0e81c9da6c7","6a960edaed6b4fd5b438c690d546b3b1","3a3316fbd93647d889a37d2fa98482e7","c8304a33bad64ac0a6d38bcd27560e68","f39111228773421891c8314f7b1d96ba","7111eaaf3d9f46368fa39fca8009e7e7","08b44d87d123489a984d1ffe172b87f9","ca39df8ca8594051beca25fa6f028759","3c0617c537e0410cae307e50a2b8a9c1","c01d0fea70594d63bd7913f6568eb8f9","b45b7e707634443c9d1d57fedf47592e","2c77e6689a7645f1a9fce5036511d574","b0e82f7c035f4d28bed9149e6052844b","df7fab3142a947ae8bc7c802799d7a41","7e37381241324d128cf4204690a68afa","416b4d03cf944af2b26b66d94e8df818","5590dac401ba4b469e319b00def85b4a","9fb4c8fc075045b1b057f1a277d3cbce","41ae37a0dbc04ddda6aae04d350af16f","1bfb3766632d47ce8b7b07bc21b63009","4181efa7ccd7467dbd7505b1be08c5d9","64ed74d637134c38a0711cf119fe4716","86ef04d9311e4d2d9acb8857ff545f4b","94b69973fd6c4509a76dcd34d712993b","beb7662b7ae746b3ab8bb674bd7f315b","45267a7673424c8397d4d28e1180f127","37782928e01542ec8aeb0cd9ce3ec21b","2a4ab01638fc48dd8adb732797c92092","f956b00a35804dd3aaf07686ded8694f","963745acaa55457bb8bf43d59d347346","9f0c3371d6a449b7a8aac207fc254b23","dc2bad4beeae468d92321623e403ca1e","597d32beb71b47ffb8734090f0132eed","aa014aed94bd4ade970e2075171e885d","3bfefe2383344e83bf2f6d77def65903","df5e4416ec76435ab4a9f4b7a1357c8c","44187a133b2f4d5c8d51422ce94d90b0","bb42c8953eac4903a11f71cd1e4a18cd","8932dfa30dfa4457951427114744108d","5fea4d64cec8468292361d81f3d39419","19b16255bb584c348aef7a8a6a56acd1","2f03640dbf5841fbbe1763aa5e171f53","3c33758106af44bea28c58122893ce06","e8a047f0c2bc42bba3155f4bef03feeb","031b857c3eed493ca1dd2f2027ebc4d9","53d960f862d34c6f9b0741ed0c2e85e0","5ae792678a044d60940c876116844e65","ed33ffe9395a40b8a1d485db5e8fbee0","89cc58d5ea57456786c56db731dd1396","b427533a7a5b46cd9038af3e0f77bab2","6a4b3480ff554ce8a87ee89a8ee76215","73f5af9f6db44a33b77cc70feac8e8b1","b3557c35e6ae422d97441b160eaad597","e828e306491f4b8d8405701a8f6098ab","724906a530424bff9e1895cbe068c061","3219b23f13b34cdd9e396fa5af1ecf3e","002f2c9190a048edb9c4520c67cc4c3e","02fcb92cdf8f4f73ae04b15a948c2ef8","6a00bc883b9746b8a6e02473422729e8","d75d06acd6ca45f797d3cb3cd4a449c2","bba5545f56074654bf558ab38d1fcee9","2218afc0e2c44ef290f4d14f7f78ebf2","4d6b87bfdf594e5dbaad908464f24152","3484713831a8435abc6ac53fa365d968"]},"id":"fbqPX8hnzWcq","outputId":"5895472d-6922-495d-9e8a-e5b8a660d3bb","executionInfo":{"status":"ok","timestamp":1712354357890,"user_tz":-540,"elapsed":194352,"user":{"displayName":"Eiji Ohta","userId":"15998100295259505885"}}},"outputs":[{"output_type":"display_data","data":{"text/plain":["  0%|          | 0/9000 [00:00<?, ?it/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"fd7b4e2a6e0a44f58b372876f4ae3874"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["  0%|          | 0/9000 [00:00<?, ?it/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"81575f09b6904c3f89772f5743e196ec"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["  0%|          | 0/9000 [00:00<?, ?it/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"f728414ebc714a6a98652ccd39a7df84"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["  0%|          | 0/9000 [00:00<?, ?it/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"c01d0fea70594d63bd7913f6568eb8f9"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["  0%|          | 0/9000 [00:00<?, ?it/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"4181efa7ccd7467dbd7505b1be08c5d9"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["  0%|          | 0/9000 [00:00<?, ?it/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"dc2bad4beeae468d92321623e403ca1e"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["  0%|          | 0/9000 [00:00<?, ?it/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"3c33758106af44bea28c58122893ce06"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["  0%|          | 0/9000 [00:00<?, ?it/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"e828e306491f4b8d8405701a8f6098ab"}},"metadata":{}},{"output_type":"stream","name":"stdout","text":["CPU times: user 5min 9s, sys: 1.22 s, total: 5min 10s\n","Wall time: 3min 14s\n"]}],"source":["%%time\n","\n","mcmc = numpyro.infer.MCMC(nuts, num_warmup=1000, num_samples=8000, num_chains=8)\n","\n","mcmc.run(jax.random.PRNGKey(0), y=y, y_true=y_true, i_alpha=i_alpha, num_cases=num_cases, num_doctors=num_doctors, num_classes=num_classes)\n","mcmc_samples = mcmc.get_samples()"]},{"cell_type":"markdown","metadata":{"id":"ra4Nv7EYzWcq"},"source":["## Evaluate Results"]},{"cell_type":"code","execution_count":29,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":161},"id":"osbbULx3g04H","outputId":"0d89e557-f096-488a-fbe6-7b5c05f0a11f","executionInfo":{"status":"ok","timestamp":1712354364458,"user_tz":-540,"elapsed":6603,"user":{"displayName":"Eiji Ohta","userId":"15998100295259505885"}}},"outputs":[{"output_type":"execute_result","data":{"text/plain":["Inference data with groups:\n","\t> posterior\n","\t> log_likelihood\n","\t> sample_stats\n","\t> observed_data"],"text/html":["\n","            <div>\n","              <div class='xr-header'>\n","                <div class=\"xr-obj-type\">arviz.InferenceData</div>\n","              </div>\n","              <ul class=\"xr-sections group-sections\">\n","              \n","            <li class = \"xr-section-item\">\n","                  <input id=\"idata_posterior86b30be0-cf63-4097-a7af-477ae4d2ed4b\" class=\"xr-section-summary-in\" type=\"checkbox\">\n","                  <label for=\"idata_posterior86b30be0-cf63-4097-a7af-477ae4d2ed4b\" 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\" 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4;\n","}\n","\n",".xr-index-preview {\n","  grid-column: 2 / 5;\n","  color: var(--xr-font-color2);\n","}\n","\n",".xr-var-name,\n",".xr-var-dims,\n",".xr-var-dtype,\n",".xr-preview,\n",".xr-attrs dt {\n","  white-space: nowrap;\n","  overflow: hidden;\n","  text-overflow: ellipsis;\n","  padding-right: 10px;\n","}\n","\n",".xr-var-name:hover,\n",".xr-var-dims:hover,\n",".xr-var-dtype:hover,\n",".xr-attrs dt:hover {\n","  overflow: visible;\n","  width: auto;\n","  z-index: 1;\n","}\n","\n",".xr-var-attrs,\n",".xr-var-data,\n",".xr-index-data {\n","  display: none;\n","  background-color: var(--xr-background-color) !important;\n","  padding-bottom: 5px !important;\n","}\n","\n",".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",".xr-var-data-in:checked ~ .xr-var-data,\n",".xr-index-data-in:checked ~ .xr-index-data {\n","  display: block;\n","}\n","\n",".xr-var-data > table {\n","  float: right;\n","}\n","\n",".xr-var-name span,\n",".xr-var-data,\n",".xr-index-name div,\n",".xr-index-data,\n",".xr-attrs {\n","  padding-left: 25px !important;\n","}\n","\n",".xr-attrs,\n",".xr-var-attrs,\n",".xr-var-data,\n",".xr-index-data {\n","  grid-column: 1 / -1;\n","}\n","\n","dl.xr-attrs {\n","  padding: 0;\n","  margin: 0;\n","  display: grid;\n","  grid-template-columns: 125px auto;\n","}\n","\n",".xr-attrs dt,\n",".xr-attrs dd {\n","  padding: 0;\n","  margin: 0;\n","  float: left;\n","  padding-right: 10px;\n","  width: auto;\n","}\n","\n",".xr-attrs dt {\n","  font-weight: normal;\n","  grid-column: 1;\n","}\n","\n",".xr-attrs dt:hover span {\n","  display: inline-block;\n","  background: var(--xr-background-color);\n","  padding-right: 10px;\n","}\n","\n",".xr-attrs dd {\n","  grid-column: 2;\n","  white-space: pre-wrap;\n","  word-break: break-all;\n","}\n","\n",".xr-icon-database,\n",".xr-icon-file-text2,\n",".xr-no-icon {\n","  display: inline-block;\n","  vertical-align: middle;\n","  width: 1em;\n","  height: 1.5em !important;\n","  stroke-width: 0;\n","  stroke: currentColor;\n","  fill: currentColor;\n","}\n","</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n","Dimensions:      (chain: 8, draw: 8000, alpha_dim_0: 150, beta_dim_0: 150,\n","                  beta_dim_1: 1, beta_dim_2: 3, theta_dim_0: 3, theta_dim_1: 6,\n","                  theta_dim_2: 3)\n","Coordinates:\n","  * chain        (chain) int64 0 1 2 3 4 5 6 7\n","  * draw         (draw) int64 0 1 2 3 4 5 6 ... 7994 7995 7996 7997 7998 7999\n","  * alpha_dim_0  (alpha_dim_0) int64 0 1 2 3 4 5 6 ... 144 145 146 147 148 149\n","  * beta_dim_0   (beta_dim_0) int64 0 1 2 3 4 5 6 ... 144 145 146 147 148 149\n","  * beta_dim_1   (beta_dim_1) int64 0\n","  * beta_dim_2   (beta_dim_2) int64 0 1 2\n","  * theta_dim_0  (theta_dim_0) int64 0 1 2\n","  * theta_dim_1  (theta_dim_1) int64 0 1 2 3 4 5\n","  * theta_dim_2  (theta_dim_2) int64 0 1 2\n","Data variables:\n","    alpha        (chain, draw, alpha_dim_0) float32 2.06 0.2391 ... 1.548 0.8216\n","    beta         (chain, draw, beta_dim_0, beta_dim_1, beta_dim_2) float32 -0...\n","    theta        (chain, draw, theta_dim_0, theta_dim_1, theta_dim_2) float32 ...\n","Attributes:\n","    created_at:                 2024-04-05T21:59:19.504300\n","    arviz_version:              0.15.1\n","    inference_library:          numpyro\n","    inference_library_version:  0.10.1</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-a9d56af3-ea85-4793-b56a-eefead15529e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a9d56af3-ea85-4793-b56a-eefead15529e' 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>: 8</li><li><span class='xr-has-index'>draw</span>: 8000</li><li><span class='xr-has-index'>alpha_dim_0</span>: 150</li><li><span class='xr-has-index'>beta_dim_0</span>: 150</li><li><span class='xr-has-index'>beta_dim_1</span>: 1</li><li><span class='xr-has-index'>beta_dim_2</span>: 3</li><li><span class='xr-has-index'>theta_dim_0</span>: 3</li><li><span class='xr-has-index'>theta_dim_1</span>: 6</li><li><span class='xr-has-index'>theta_dim_2</span>: 3</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-c1313f4b-1f77-4033-b524-e6c841b0b65f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c1313f4b-1f77-4033-b524-e6c841b0b65f' class='xr-section-summary' >Coordinates: <span>(9)</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 4 5 6 7</div><input id='attrs-f88f1b9c-2192-4981-bc3b-d2831fd9b592' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f88f1b9c-2192-4981-bc3b-d2831fd9b592' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4e64dfdc-ae72-4c5c-9e2a-2da589535954' class='xr-var-data-in' type='checkbox'><label for='data-4e64dfdc-ae72-4c5c-9e2a-2da589535954' 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])</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 ... 7996 7997 7998 7999</div><input id='attrs-dc8dc8af-5fb7-486d-afcc-5834fc3389f3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-dc8dc8af-5fb7-486d-afcc-5834fc3389f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8baee592-7000-43ab-8964-ec8c74152386' class='xr-var-data-in' type='checkbox'><label for='data-8baee592-7000-43ab-8964-ec8c74152386' 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, ..., 7997, 7998, 7999])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>alpha_dim_0</span></div><div class='xr-var-dims'>(alpha_dim_0)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 145 146 147 148 149</div><input id='attrs-f265b278-d682-41f6-9cb2-235bc80475bf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f265b278-d682-41f6-9cb2-235bc80475bf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5b391bb0-afba-41f5-a533-c3954ce2a828' class='xr-var-data-in' type='checkbox'><label for='data-5b391bb0-afba-41f5-a533-c3954ce2a828' 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,\n","        14,  15,  16,  17,  18,  19,  20,  21,  22,  23,  24,  25,  26,  27,\n","        28,  29,  30,  31,  32,  33,  34,  35,  36,  37,  38,  39,  40,  41,\n","        42,  43,  44,  45,  46,  47,  48,  49,  50,  51,  52,  53,  54,  55,\n","        56,  57,  58,  59,  60,  61,  62,  63,  64,  65,  66,  67,  68,  69,\n","        70,  71,  72,  73,  74,  75,  76,  77,  78,  79,  80,  81,  82,  83,\n","        84,  85,  86,  87,  88,  89,  90,  91,  92,  93,  94,  95,  96,  97,\n","        98,  99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111,\n","       112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125,\n","       126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139,\n","       140, 141, 142, 143, 144, 145, 146, 147, 148, 149])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>beta_dim_0</span></div><div class='xr-var-dims'>(beta_dim_0)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 145 146 147 148 149</div><input id='attrs-e2289668-8c9b-4499-9cba-ac41ef399f08' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e2289668-8c9b-4499-9cba-ac41ef399f08' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bbe02852-5a3e-439d-af50-20d94d0417df' class='xr-var-data-in' type='checkbox'><label for='data-bbe02852-5a3e-439d-af50-20d94d0417df' 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,\n","        14,  15,  16,  17,  18,  19,  20,  21,  22,  23,  24,  25,  26,  27,\n","        28,  29,  30,  31,  32,  33,  34,  35,  36,  37,  38,  39,  40,  41,\n","        42,  43,  44,  45,  46,  47,  48,  49,  50,  51,  52,  53,  54,  55,\n","        56,  57,  58,  59,  60,  61,  62,  63,  64,  65,  66,  67,  68,  69,\n","        70,  71,  72,  73,  74,  75,  76,  77,  78,  79,  80,  81,  82,  83,\n","        84,  85,  86,  87,  88,  89,  90,  91,  92,  93,  94,  95,  96,  97,\n","        98,  99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111,\n","       112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125,\n","       126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139,\n","       140, 141, 142, 143, 144, 145, 146, 147, 148, 149])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>beta_dim_1</span></div><div class='xr-var-dims'>(beta_dim_1)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-36dc7fe5-6472-4646-bafc-2880bfa672a3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-36dc7fe5-6472-4646-bafc-2880bfa672a3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f137d519-b03d-4247-a9af-c771c81bbff7' class='xr-var-data-in' type='checkbox'><label for='data-f137d519-b03d-4247-a9af-c771c81bbff7' 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><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>beta_dim_2</span></div><div class='xr-var-dims'>(beta_dim_2)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2</div><input id='attrs-41d8c84a-bc52-4747-bf7b-b9bfa8b4102b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-41d8c84a-bc52-4747-bf7b-b9bfa8b4102b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-149d3644-e9c3-4e4f-b248-0f5c986c4e94' class='xr-var-data-in' type='checkbox'><label for='data-149d3644-e9c3-4e4f-b248-0f5c986c4e94' 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])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>theta_dim_0</span></div><div class='xr-var-dims'>(theta_dim_0)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2</div><input id='attrs-d8af3c6f-1013-4a9d-9809-805f67724bf2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d8af3c6f-1013-4a9d-9809-805f67724bf2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f8901c54-b6a4-4b8c-8ef7-2520e169397f' class='xr-var-data-in' type='checkbox'><label for='data-f8901c54-b6a4-4b8c-8ef7-2520e169397f' 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])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>theta_dim_1</span></div><div class='xr-var-dims'>(theta_dim_1)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5</div><input id='attrs-0b728621-5c79-457e-b18c-404da60653a2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0b728621-5c79-457e-b18c-404da60653a2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-60686e84-fdf3-4cd3-b1af-9d0e6bcde95e' class='xr-var-data-in' type='checkbox'><label for='data-60686e84-fdf3-4cd3-b1af-9d0e6bcde95e' 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])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>theta_dim_2</span></div><div class='xr-var-dims'>(theta_dim_2)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2</div><input id='attrs-5e9db831-139c-4afe-b023-3622763ad3c9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5e9db831-139c-4afe-b023-3622763ad3c9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7da847ad-4a06-4369-8312-8d3486a4b8e7' class='xr-var-data-in' type='checkbox'><label for='data-7da847ad-4a06-4369-8312-8d3486a4b8e7' 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])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0d907421-0221-40ff-8cef-f4aea41c632e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0d907421-0221-40ff-8cef-f4aea41c632e' class='xr-section-summary' >Data variables: <span>(3)</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>alpha</span></div><div class='xr-var-dims'>(chain, draw, alpha_dim_0)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>2.06 0.2391 0.507 ... 1.548 0.8216</div><input id='attrs-e85d06ad-e082-43fe-8c69-75b1d5a2694f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e85d06ad-e082-43fe-8c69-75b1d5a2694f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bad3f9be-4240-411c-99e3-5d2532d96bff' class='xr-var-data-in' type='checkbox'><label for='data-bad3f9be-4240-411c-99e3-5d2532d96bff' 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([[[2.0600655 , 0.23914915, 0.5070013 , ..., 0.5675614 ,\n","         2.7091963 , 1.075877  ],\n","        [1.7141604 , 0.30662102, 0.28953475, ..., 2.1536267 ,\n","         0.28022784, 1.0061449 ],\n","        [1.983891  , 0.5017614 , 0.20333178, ..., 1.3988553 ,\n","         2.3716855 , 0.6107177 ],\n","        ...,\n","        [2.4803133 , 0.6831391 , 0.53042424, ..., 0.6135788 ,\n","         1.070165  , 0.24557826],\n","        [1.8023796 , 0.31086302, 0.7401147 , ..., 0.71216667,\n","         0.8242003 , 0.11283973],\n","        [1.9668009 , 0.12336884, 0.41948944, ..., 0.94435096,\n","         1.245383  , 3.0656033 ]],\n","\n","       [[1.2846758 , 0.4740387 , 0.5792633 , ..., 1.8027943 ,\n","         1.1539183 , 0.88627005],\n","        [1.472783  , 0.31665707, 0.20940813, ..., 0.48031747,\n","         0.8524514 , 0.91171104],\n","        [1.5569909 , 0.4155544 , 0.2657897 , ..., 0.3115693 ,\n","         1.1879532 , 0.19339521],\n","...\n","        [1.4249523 , 0.33013266, 0.39023513, ..., 2.4994955 ,\n","         1.1902785 , 0.6971618 ],\n","        [1.4719379 , 0.29713666, 0.42502192, ..., 0.67830163,\n","         1.366422  , 0.73677886],\n","        [1.5274924 , 0.37575662, 0.48734632, ..., 1.1872897 ,\n","         1.3004043 , 0.9806611 ]],\n","\n","       [[1.4269345 , 0.58818233, 0.5831634 , ..., 0.7192924 ,\n","         0.02838784, 0.37294883],\n","        [1.309188  , 0.23042676, 0.61335576, ..., 1.2176415 ,\n","         0.05618552, 2.524612  ],\n","        [1.2481239 , 0.4540315 , 0.5596062 , ..., 0.7444999 ,\n","         0.03962385, 0.98240435],\n","        ...,\n","        [1.4835514 , 0.37941694, 0.6345002 , ..., 2.9770508 ,\n","         1.0877388 , 0.50472933],\n","        [2.036234  , 0.5047881 , 0.5201102 , ..., 0.22775707,\n","         0.9363774 , 1.3819075 ],\n","        [1.7439046 , 0.19716325, 0.4919221 , ..., 0.40126342,\n","         1.5483681 , 0.82160366]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>beta</span></div><div class='xr-var-dims'>(chain, draw, beta_dim_0, beta_dim_1, beta_dim_2)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.1229 0.313 ... 2.175 0.6658</div><input id='attrs-53315626-cc36-4548-adce-269023a8c6c5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-53315626-cc36-4548-adce-269023a8c6c5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f7a93d7-a40f-4f9f-8af4-30a0d7c8ac86' class='xr-var-data-in' type='checkbox'><label for='data-3f7a93d7-a40f-4f9f-8af4-30a0d7c8ac86' 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([[[[[-1.22932963e-01,  3.13034087e-01, -1.54525650e+00]],\n","\n","         [[ 5.07252216e-01,  1.38519287e+00, -1.42840612e+00]],\n","\n","         [[ 2.01091599e+00,  2.09944773e+00,  1.76047921e+00]],\n","\n","         ...,\n","\n","         [[ 7.27718294e-01,  4.75681067e-01,  3.09991479e+00]],\n","\n","         [[ 1.00399695e-01,  2.31021762e+00,  2.59069133e+00]],\n","\n","         [[-1.33980656e+00,  1.24917591e+00, -6.78265452e-01]]],\n","\n","\n","        [[[ 1.53754497e+00,  2.42819166e+00, -1.42753935e+00]],\n","\n","         [[ 3.12411642e+00,  2.23552537e+00,  3.27525735e-01]],\n","\n","         [[-2.95523977e+00, -9.95647013e-01, -2.00692010e+00]],\n","...\n","\n","         [[-1.52770376e+00, -8.45894217e-02,  9.96245027e-01]],\n","\n","         [[ 2.09213242e-01,  1.39380491e+00, -1.57694352e+00]]],\n","\n","\n","        [[[ 3.16747952e+00,  1.73525608e+00, -1.83060515e+00]],\n","\n","         [[ 1.06578875e+00,  6.22570896e+00,  1.83072543e+00]],\n","\n","         [[-1.68968439e+00, -3.88453197e+00, -4.68842697e+00]],\n","\n","         ...,\n","\n","         [[-1.17236567e+00,  1.53714406e+00,  1.14112985e+00]],\n","\n","         [[ 1.44746876e+00,  4.65086043e-01, -3.89189750e-01]],\n","\n","         [[-3.22380590e+00,  2.17465544e+00,  6.65806949e-01]]]]],\n","      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>theta</span></div><div class='xr-var-dims'>(chain, draw, theta_dim_0, theta_dim_1, theta_dim_2)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>2.407 5.139 ... -2.092 -0.1901</div><input id='attrs-f43d7671-cca9-46bd-a2ed-e1bde799a84f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f43d7671-cca9-46bd-a2ed-e1bde799a84f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-33953df1-472a-4113-a1c0-1ec172eda0d7' class='xr-var-data-in' type='checkbox'><label for='data-33953df1-472a-4113-a1c0-1ec172eda0d7' 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([[[[[ 2.40681982e+00,  5.13901472e+00,  5.14954567e-01],\n","          [ 2.48942733e+00,  1.58589590e+00,  3.38100195e+00],\n","          [ 2.16941404e+00, -8.87859404e-01,  6.97455481e-02],\n","          [ 2.58132815e+00,  1.14081132e+00,  6.37835503e-01],\n","          [ 1.49344945e+00, -5.44885635e-01, -4.49920982e-01],\n","          [ 3.16524076e+00,  8.01180840e-01, -1.97726262e+00]],\n","\n","         [[-1.12832010e+00,  1.63690925e+00, -1.81938320e-01],\n","          [-6.68970406e-01,  2.68550587e+00, -1.93117952e+00],\n","          [-1.55968118e+00, -1.48140872e+00, -3.30862045e+00],\n","          [-9.01885688e-01, -1.54438341e+00, -1.33667040e+00],\n","          [-6.46634936e-01,  2.39139390e+00,  6.42387867e-01],\n","          [ 6.21735752e-01,  1.85149598e+00,  9.61540461e-01]],\n","\n","         [[-1.76744187e+00, -4.06814766e+00,  7.89152443e-01],\n","          [-1.48932242e+00, -3.94005328e-01,  1.22981811e+00],\n","          [-2.65274286e+00, -1.03785360e+00,  2.28450680e+00],\n","          [ 9.06588256e-01, -9.46438074e-01,  3.69676471e+00],\n","          [-5.56667030e-01, -7.85159394e-02, -4.28848527e-02],\n","          [ 6.00656688e-01,  1.40881491e+00, -6.83243692e-01]]],\n","...\n","          [ 1.35801685e+00, -1.57207823e+00, -1.73855686e+00],\n","          [ 2.14672804e+00, -2.38302803e+00,  2.73408264e-01],\n","          [ 3.16898370e+00, -1.78707492e+00,  7.32283413e-01],\n","          [ 1.05141521e+00, -4.42796141e-01, -1.65402281e+00],\n","          [ 3.70408130e+00,  2.46861339e+00, -6.06334090e-01]],\n","\n","         [[-1.56648695e+00,  3.41015720e+00,  1.06817865e+00],\n","          [-1.50927162e+00,  1.48522997e+00, -4.70232248e-01],\n","          [-1.67626405e+00,  1.60104656e+00, -6.66116953e-01],\n","          [-7.55521119e-01, -2.74729824e+00, -1.07705092e+00],\n","          [-7.87685275e-01,  7.86587834e-01,  1.23124421e+00],\n","          [ 2.63197541e-01,  5.10377824e-01,  9.68750715e-01]],\n","\n","         [[-1.71820498e+00, -3.87334132e+00,  3.37650776e-01],\n","          [-1.66176736e+00, -5.45096815e-01,  2.68017864e+00],\n","          [-1.51136291e+00, -5.01415730e-01,  3.09167218e+00],\n","          [ 2.85403937e-01, -4.42997360e+00,  1.79916489e+00],\n","          [-8.95549774e-01,  7.74219394e-01,  1.72673583e+00],\n","          [ 1.30918980e-01, -2.09234262e+00, -1.90062419e-01]]]]],\n","      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-640d63c2-f18e-4f6d-9dbb-ff693748c992' class='xr-section-summary-in' type='checkbox'  ><label for='section-640d63c2-f18e-4f6d-9dbb-ff693748c992' class='xr-section-summary' >Indexes: <span>(9)</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-f8495eb5-c154-4498-a963-78ba08cd3a25' class='xr-index-data-in' type='checkbox'/><label for='index-f8495eb5-c154-4498-a963-78ba08cd3a25' 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], dtype=&#x27;int64&#x27;, name=&#x27;chain&#x27;))</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-da9f2c26-bb81-45c9-90fc-dafc93a38246' class='xr-index-data-in' type='checkbox'/><label for='index-da9f2c26-bb81-45c9-90fc-dafc93a38246' 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","       7990, 7991, 7992, 7993, 7994, 7995, 7996, 7997, 7998, 7999],\n","      dtype=&#x27;int64&#x27;, name=&#x27;draw&#x27;, length=8000))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>alpha_dim_0</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e99ed149-4cec-426c-aa18-475b620a91ec' class='xr-index-data-in' type='checkbox'/><label for='index-e99ed149-4cec-426c-aa18-475b620a91ec' 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","       140, 141, 142, 143, 144, 145, 146, 147, 148, 149],\n","      dtype=&#x27;int64&#x27;, name=&#x27;alpha_dim_0&#x27;, length=150))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>beta_dim_0</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2d20f6bc-7fd0-46a4-9e7c-00a6035023ac' class='xr-index-data-in' type='checkbox'/><label for='index-2d20f6bc-7fd0-46a4-9e7c-00a6035023ac' 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","       140, 141, 142, 143, 144, 145, 146, 147, 148, 149],\n","      dtype=&#x27;int64&#x27;, name=&#x27;beta_dim_0&#x27;, length=150))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>beta_dim_1</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-206c17fd-d250-4a64-84c2-7fbc78b9f323' class='xr-index-data-in' type='checkbox'/><label for='index-206c17fd-d250-4a64-84c2-7fbc78b9f323' 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=&#x27;int64&#x27;, name=&#x27;beta_dim_1&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>beta_dim_2</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5d49ed66-8508-492d-9b57-aeefa2371748' class='xr-index-data-in' type='checkbox'/><label for='index-5d49ed66-8508-492d-9b57-aeefa2371748' 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], dtype=&#x27;int64&#x27;, name=&#x27;beta_dim_2&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>theta_dim_0</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b00c83c6-3457-421e-b66c-b11c833ae933' class='xr-index-data-in' type='checkbox'/><label for='index-b00c83c6-3457-421e-b66c-b11c833ae933' 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], dtype=&#x27;int64&#x27;, name=&#x27;theta_dim_0&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>theta_dim_1</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-49047b0b-a302-48d0-bf00-8887357cc29f' class='xr-index-data-in' type='checkbox'/><label for='index-49047b0b-a302-48d0-bf00-8887357cc29f' 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], dtype=&#x27;int64&#x27;, name=&#x27;theta_dim_1&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>theta_dim_2</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6e0240e9-6177-40b9-820d-c90cd3f584ae' class='xr-index-data-in' type='checkbox'/><label for='index-6e0240e9-6177-40b9-820d-c90cd3f584ae' 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], dtype=&#x27;int64&#x27;, name=&#x27;theta_dim_2&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-89133d69-fc58-4242-b56a-2bf2f8b49314' class='xr-section-summary-in' type='checkbox'  checked><label for='section-89133d69-fc58-4242-b56a-2bf2f8b49314' 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>2024-04-05T21:59:19.504300</dd><dt><span>arviz_version :</span></dt><dd>0.15.1</dd><dt><span>inference_library :</span></dt><dd>numpyro</dd><dt><span>inference_library_version :</span></dt><dd>0.10.1</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_log_likelihoodc6f91689-e92f-4df3-8adc-0ccd0f1eae35\" class=\"xr-section-summary-in\" type=\"checkbox\">\n","                  <label for=\"idata_log_likelihoodc6f91689-e92f-4df3-8adc-0ccd0f1eae35\" class = \"xr-section-summary\">log_likelihood</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","                          <div style=\"padding-left:2rem;\"><div><svg style=\"position: absolute; width: 0; height: 0; overflow: 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!important;\n","}\n","\n",".xr-attrs,\n",".xr-var-attrs,\n",".xr-var-data,\n",".xr-index-data {\n","  grid-column: 1 / -1;\n","}\n","\n","dl.xr-attrs {\n","  padding: 0;\n","  margin: 0;\n","  display: grid;\n","  grid-template-columns: 125px auto;\n","}\n","\n",".xr-attrs dt,\n",".xr-attrs dd {\n","  padding: 0;\n","  margin: 0;\n","  float: left;\n","  padding-right: 10px;\n","  width: auto;\n","}\n","\n",".xr-attrs dt {\n","  font-weight: normal;\n","  grid-column: 1;\n","}\n","\n",".xr-attrs dt:hover span {\n","  display: inline-block;\n","  background: var(--xr-background-color);\n","  padding-right: 10px;\n","}\n","\n",".xr-attrs dd {\n","  grid-column: 2;\n","  white-space: pre-wrap;\n","  word-break: break-all;\n","}\n","\n",".xr-icon-database,\n",".xr-icon-file-text2,\n",".xr-no-icon {\n","  display: inline-block;\n","  vertical-align: middle;\n","  width: 1em;\n","  height: 1.5em !important;\n","  stroke-width: 0;\n","  stroke: currentColor;\n","  fill: currentColor;\n","}\n","</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n","Dimensions:    (chain: 8, draw: 8000, obs_dim_0: 150, obs_dim_1: 6)\n","Coordinates:\n","  * chain      (chain) int64 0 1 2 3 4 5 6 7\n","  * draw       (draw) int64 0 1 2 3 4 5 6 ... 7993 7994 7995 7996 7997 7998 7999\n","  * obs_dim_0  (obs_dim_0) int64 0 1 2 3 4 5 6 7 ... 143 144 145 146 147 148 149\n","  * obs_dim_1  (obs_dim_1) int64 0 1 2 3 4 5\n","Data variables:\n","    obs        (chain, draw, obs_dim_0, obs_dim_1) float32 -0.1301 ... -0.2722\n","Attributes:\n","    created_at:                 2024-04-05T21:59:23.840356\n","    arviz_version:              0.15.1\n","    inference_library:          numpyro\n","    inference_library_version:  0.10.1</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-de108c21-095b-48e3-985c-2d22925f48d9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-de108c21-095b-48e3-985c-2d22925f48d9' 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>: 8</li><li><span class='xr-has-index'>draw</span>: 8000</li><li><span class='xr-has-index'>obs_dim_0</span>: 150</li><li><span class='xr-has-index'>obs_dim_1</span>: 6</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-9f3b3920-14ef-4303-a4cb-0c97666f8057' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9f3b3920-14ef-4303-a4cb-0c97666f8057' 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 4 5 6 7</div><input id='attrs-4c42ecfc-8ed6-441e-99c1-be6ba480a3ef' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4c42ecfc-8ed6-441e-99c1-be6ba480a3ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d0bccdd4-2057-478b-8534-9fb7812def11' class='xr-var-data-in' type='checkbox'><label for='data-d0bccdd4-2057-478b-8534-9fb7812def11' 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])</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 ... 7996 7997 7998 7999</div><input id='attrs-0b671bd8-821e-42ff-a3da-c9de9b2332cd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0b671bd8-821e-42ff-a3da-c9de9b2332cd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-48ef5fd3-6e6c-4ab9-b442-b22ef37c80ae' class='xr-var-data-in' type='checkbox'><label for='data-48ef5fd3-6e6c-4ab9-b442-b22ef37c80ae' 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, ..., 7997, 7998, 7999])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>obs_dim_0</span></div><div class='xr-var-dims'>(obs_dim_0)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 145 146 147 148 149</div><input id='attrs-ff21bbe7-ae45-400e-b3cf-2c26965282df' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ff21bbe7-ae45-400e-b3cf-2c26965282df' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c8f7fd2-b886-4aa4-a1dd-2be17d15db90' class='xr-var-data-in' type='checkbox'><label for='data-6c8f7fd2-b886-4aa4-a1dd-2be17d15db90' 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,\n","        14,  15,  16,  17,  18,  19,  20,  21,  22,  23,  24,  25,  26,  27,\n","        28,  29,  30,  31,  32,  33,  34,  35,  36,  37,  38,  39,  40,  41,\n","        42,  43,  44,  45,  46,  47,  48,  49,  50,  51,  52,  53,  54,  55,\n","        56,  57,  58,  59,  60,  61,  62,  63,  64,  65,  66,  67,  68,  69,\n","        70,  71,  72,  73,  74,  75,  76,  77,  78,  79,  80,  81,  82,  83,\n","        84,  85,  86,  87,  88,  89,  90,  91,  92,  93,  94,  95,  96,  97,\n","        98,  99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111,\n","       112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125,\n","       126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139,\n","       140, 141, 142, 143, 144, 145, 146, 147, 148, 149])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>obs_dim_1</span></div><div class='xr-var-dims'>(obs_dim_1)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5</div><input id='attrs-e3e2d6e6-8f60-4900-9a70-741ac5ba2a54' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e3e2d6e6-8f60-4900-9a70-741ac5ba2a54' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-99849442-0e9b-4c5d-a3bc-15c580916047' class='xr-var-data-in' type='checkbox'><label for='data-99849442-0e9b-4c5d-a3bc-15c580916047' 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])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9af8d320-954c-41b8-afa3-480975eaf93a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9af8d320-954c-41b8-afa3-480975eaf93a' 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>obs</span></div><div class='xr-var-dims'>(chain, draw, obs_dim_0, obs_dim_1)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.1301 -2.567 ... -0.3679 -0.2722</div><input id='attrs-b5f2c28e-b458-4b0c-b587-37c564b94fe9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b5f2c28e-b458-4b0c-b587-37c564b94fe9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7557bb90-cb5d-4a1a-b316-39947b6e63fb' class='xr-var-data-in' type='checkbox'><label for='data-7557bb90-cb5d-4a1a-b316-39947b6e63fb' 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([[[[-1.30070269e-01, -2.56658602e+00, -7.56654963e-02,\n","          -2.31507868e-01, -1.97404325e-01, -9.77566361e-01],\n","         [-6.24824762e-02, -6.48252964e-02, -3.90344858e-02,\n","          -1.29162550e-01, -1.03291392e-01, -7.44791150e-01],\n","         [-3.67347527e+00, -3.44729424e-02, -1.91779137e-02,\n","          -1.22385025e-02, -7.02772141e-02, -2.36701965e-03],\n","         ...,\n","         [-1.98085308e-02, -3.69994640e-02, -4.04841089e+00,\n","          -9.67011452e-02, -9.80265141e-02, -4.68843699e-01],\n","         [-1.76338434e-01, -3.15249920e-01, -1.69909954e-01,\n","          -2.65801334e+00, -8.56689930e-01, -1.06471705e+00],\n","         [-1.01161802e+00, -2.63998032e-01, -9.87450719e-01,\n","          -1.02912772e+00, -1.56487823e-01, -2.29740620e-01]],\n","\n","        [[-1.46644115e-02, -5.36121559e+00, -9.09543037e-03,\n","          -4.28833961e-02, -5.32488823e-02, -4.16824818e-01],\n","         [-9.11459923e-02, -5.09219170e-02, -5.71558475e-02,\n","          -2.39065647e-01, -3.11188579e-01, -3.45381975e-01],\n","         [-1.26666951e+00, -4.29275841e-01, -1.65020764e-01,\n","          -9.06697512e-02, -6.31118059e-01, -2.03037262e-02],\n","...\n","          -7.83956051e-02, -4.87721562e-02, -1.96433067e-01],\n","         [-5.47542572e-02, -5.19371033e-02, -1.00203276e-01,\n","          -3.07301831e+00, -2.74886942e+00, -1.53545141e-01],\n","         [-1.45749867e+00, -2.98480392e-01, -1.95698202e+00,\n","          -2.22757339e+00, -4.12146091e-01, -1.73893642e+00]],\n","\n","        [[-1.51515961e-01, -1.70897031e+00, -1.64713383e-01,\n","          -1.08394516e+00, -6.69042349e-01, -1.95077586e+00],\n","         [-1.07860565e-02, -7.58504868e-03, -6.68716431e-03,\n","          -1.50156021e-02, -2.03986168e-02, -4.82740641e+00],\n","         [-4.57693768e+00, -9.58859921e-03, -2.99286842e-03,\n","          -5.95808029e-04, -1.96515918e-02, -3.41415405e-04],\n","         ...,\n","         [-4.64098573e-01, -3.06382895e-01, -1.48274910e+00,\n","          -2.80037642e-01, -5.59118986e-01, -7.95921326e-01],\n","         [-7.85207152e-01, -5.05114436e-01, -4.46870565e-01,\n","          -2.84999490e-01, -8.48102152e-01, -2.43059921e+00],\n","         [-1.02433538e+00, -6.52683258e-01, -6.39415026e-01,\n","          -8.33504796e-01, -3.67936134e-01, -2.72211552e-01]]]],\n","      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6ab8a73d-10a3-482c-bb70-d63b6b459fa1' class='xr-section-summary-in' type='checkbox'  ><label for='section-6ab8a73d-10a3-482c-bb70-d63b6b459fa1' 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-5a967324-387f-46a1-a344-28b74c391ec0' class='xr-index-data-in' type='checkbox'/><label for='index-5a967324-387f-46a1-a344-28b74c391ec0' 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], dtype=&#x27;int64&#x27;, name=&#x27;chain&#x27;))</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-03d022a8-336e-4c7d-a85d-f47d8411c5b0' class='xr-index-data-in' type='checkbox'/><label for='index-03d022a8-336e-4c7d-a85d-f47d8411c5b0' 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","       7990, 7991, 7992, 7993, 7994, 7995, 7996, 7997, 7998, 7999],\n","      dtype=&#x27;int64&#x27;, name=&#x27;draw&#x27;, length=8000))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>obs_dim_0</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-99d8ee21-7579-4dbf-9af1-88d411865bab' class='xr-index-data-in' type='checkbox'/><label for='index-99d8ee21-7579-4dbf-9af1-88d411865bab' 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","       140, 141, 142, 143, 144, 145, 146, 147, 148, 149],\n","      dtype=&#x27;int64&#x27;, name=&#x27;obs_dim_0&#x27;, length=150))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>obs_dim_1</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d181f9dc-a1d5-4e91-aed3-1d059d48f085' class='xr-index-data-in' type='checkbox'/><label for='index-d181f9dc-a1d5-4e91-aed3-1d059d48f085' 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], dtype=&#x27;int64&#x27;, name=&#x27;obs_dim_1&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-62cb8890-6b6d-4f13-b5cf-e5e3b1ccc607' class='xr-section-summary-in' type='checkbox'  checked><label for='section-62cb8890-6b6d-4f13-b5cf-e5e3b1ccc607' 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>2024-04-05T21:59:23.840356</dd><dt><span>arviz_version :</span></dt><dd>0.15.1</dd><dt><span>inference_library :</span></dt><dd>numpyro</dd><dt><span>inference_library_version :</span></dt><dd>0.10.1</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_statsaf5b3972-e42d-4743-947d-367ec0607319\" class=\"xr-section-summary-in\" type=\"checkbox\">\n","                  <label for=\"idata_sample_statsaf5b3972-e42d-4743-947d-367ec0607319\" 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","                          <div style=\"padding-left:2rem;\"><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n","<defs>\n","<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n","<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n","<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n","<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n","</symbol>\n","<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n","<path d=\"M28.681 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min-width: 300px;\n","  max-width: 700px;\n","}\n","\n",".xr-text-repr-fallback {\n","  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n","  display: none;\n","}\n","\n",".xr-header {\n","  padding-top: 6px;\n","  padding-bottom: 6px;\n","  margin-bottom: 4px;\n","  border-bottom: solid 1px var(--xr-border-color);\n","}\n","\n",".xr-header > div,\n",".xr-header > ul {\n","  display: inline;\n","  margin-top: 0;\n","  margin-bottom: 0;\n","}\n","\n",".xr-obj-type,\n",".xr-array-name {\n","  margin-left: 2px;\n","  margin-right: 10px;\n","}\n","\n",".xr-obj-type {\n","  color: var(--xr-font-color2);\n","}\n","\n",".xr-sections {\n","  padding-left: 0 !important;\n","  display: grid;\n","  grid-template-columns: 150px auto auto 1fr 20px 20px;\n","}\n","\n",".xr-section-item {\n","  display: contents;\n","}\n","\n",".xr-section-item input {\n","  display: none;\n","}\n","\n",".xr-section-item input + label {\n","  color: var(--xr-disabled-color);\n","}\n","\n",".xr-section-item input:enabled + label {\n","  cursor: pointer;\n","  color: var(--xr-font-color2);\n","}\n","\n",".xr-section-item input:enabled + label:hover {\n","  color: var(--xr-font-color0);\n","}\n","\n",".xr-section-summary {\n","  grid-column: 1;\n","  color: var(--xr-font-color2);\n","  font-weight: 500;\n","}\n","\n",".xr-section-summary > span {\n","  display: inline-block;\n","  padding-left: 0.5em;\n","}\n","\n",".xr-section-summary-in:disabled + label {\n","  color: var(--xr-font-color2);\n","}\n","\n",".xr-section-summary-in + label:before {\n","  display: inline-block;\n","  content: '►';\n","  font-size: 11px;\n","  width: 15px;\n","  text-align: center;\n","}\n","\n",".xr-section-summary-in:disabled + label:before {\n","  color: var(--xr-disabled-color);\n","}\n","\n",".xr-section-summary-in:checked + label:before {\n","  content: '▼';\n","}\n","\n",".xr-section-summary-in:checked + label > span {\n","  display: none;\n","}\n","\n",".xr-section-summary,\n",".xr-section-inline-details {\n","  padding-top: 4px;\n","  padding-bottom: 4px;\n","}\n","\n",".xr-section-inline-details {\n","  grid-column: 2 / -1;\n","}\n","\n",".xr-section-details {\n","  display: none;\n","  grid-column: 1 / -1;\n","  margin-bottom: 5px;\n","}\n","\n",".xr-section-summary-in:checked ~ .xr-section-details {\n","  display: contents;\n","}\n","\n",".xr-array-wrap {\n","  grid-column: 1 / -1;\n","  display: grid;\n","  grid-template-columns: 20px auto;\n","}\n","\n",".xr-array-wrap > label {\n","  grid-column: 1;\n","  vertical-align: top;\n","}\n","\n",".xr-preview {\n","  color: var(--xr-font-color3);\n","}\n","\n",".xr-array-preview,\n",".xr-array-data {\n","  padding: 0 5px !important;\n","  grid-column: 2;\n","}\n","\n",".xr-array-data,\n",".xr-array-in:checked ~ .xr-array-preview {\n","  display: none;\n","}\n","\n",".xr-array-in:checked ~ .xr-array-data,\n",".xr-array-preview {\n","  display: inline-block;\n","}\n","\n",".xr-dim-list {\n","  display: inline-block !important;\n","  list-style: none;\n","  padding: 0 !important;\n","  margin: 0;\n","}\n","\n",".xr-dim-list li {\n","  display: inline-block;\n","  padding: 0;\n","  margin: 0;\n","}\n","\n",".xr-dim-list:before {\n","  content: '(';\n","}\n","\n",".xr-dim-list:after {\n","  content: ')';\n","}\n","\n",".xr-dim-list li:not(:last-child):after {\n","  content: ',';\n","  padding-right: 5px;\n","}\n","\n",".xr-has-index {\n","  font-weight: bold;\n","}\n","\n",".xr-var-list,\n",".xr-var-item {\n","  display: contents;\n","}\n","\n",".xr-var-item > div,\n",".xr-var-item label,\n",".xr-var-item > .xr-var-name span {\n","  background-color: var(--xr-background-color-row-even);\n","  margin-bottom: 0;\n","}\n","\n",".xr-var-item > .xr-var-name:hover span {\n","  padding-right: 5px;\n","}\n","\n",".xr-var-list > li:nth-child(odd) > div,\n",".xr-var-list > li:nth-child(odd) > label,\n",".xr-var-list > li:nth-child(odd) > 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padding-bottom: 5px !important;\n","}\n","\n",".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",".xr-var-data-in:checked ~ .xr-var-data,\n",".xr-index-data-in:checked ~ .xr-index-data {\n","  display: block;\n","}\n","\n",".xr-var-data > table {\n","  float: right;\n","}\n","\n",".xr-var-name span,\n",".xr-var-data,\n",".xr-index-name div,\n",".xr-index-data,\n",".xr-attrs {\n","  padding-left: 25px !important;\n","}\n","\n",".xr-attrs,\n",".xr-var-attrs,\n",".xr-var-data,\n",".xr-index-data {\n","  grid-column: 1 / -1;\n","}\n","\n","dl.xr-attrs {\n","  padding: 0;\n","  margin: 0;\n","  display: grid;\n","  grid-template-columns: 125px auto;\n","}\n","\n",".xr-attrs dt,\n",".xr-attrs dd {\n","  padding: 0;\n","  margin: 0;\n","  float: left;\n","  padding-right: 10px;\n","  width: auto;\n","}\n","\n",".xr-attrs dt {\n","  font-weight: normal;\n","  grid-column: 1;\n","}\n","\n",".xr-attrs dt:hover span {\n","  display: inline-block;\n","  background: var(--xr-background-color);\n","  padding-right: 10px;\n","}\n","\n",".xr-attrs dd {\n","  grid-column: 2;\n","  white-space: pre-wrap;\n","  word-break: break-all;\n","}\n","\n",".xr-icon-database,\n",".xr-icon-file-text2,\n",".xr-no-icon {\n","  display: inline-block;\n","  vertical-align: middle;\n","  width: 1em;\n","  height: 1.5em !important;\n","  stroke-width: 0;\n","  stroke: currentColor;\n","  fill: currentColor;\n","}\n","</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n","Dimensions:    (chain: 8, draw: 8000)\n","Coordinates:\n","  * chain      (chain) int64 0 1 2 3 4 5 6 7\n","  * draw       (draw) int64 0 1 2 3 4 5 6 ... 7993 7994 7995 7996 7997 7998 7999\n","Data variables:\n","    diverging  (chain, draw) bool False False False False ... False False False\n","Attributes:\n","    created_at:                 2024-04-05T21:59:19.614816\n","    arviz_version:              0.15.1\n","    inference_library:          numpyro\n","    inference_library_version:  0.10.1</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-2afecdb8-06b8-406e-8919-9b0ae0fc2998' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2afecdb8-06b8-406e-8919-9b0ae0fc2998' 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>: 8</li><li><span class='xr-has-index'>draw</span>: 8000</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-71e93d5c-3303-45bb-9e54-e4c31750b8e5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-71e93d5c-3303-45bb-9e54-e4c31750b8e5' 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 4 5 6 7</div><input id='attrs-e83a63b3-6720-4871-9684-07eadc4fe087' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e83a63b3-6720-4871-9684-07eadc4fe087' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1f8347a2-9204-4f1b-9c35-d5b9af943538' class='xr-var-data-in' type='checkbox'><label for='data-1f8347a2-9204-4f1b-9c35-d5b9af943538' 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])</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 ... 7996 7997 7998 7999</div><input id='attrs-6ed2f16e-54bd-4033-9a94-ddd2f54ca0dd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6ed2f16e-54bd-4033-9a94-ddd2f54ca0dd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fda4a7ad-473f-4bb2-92b9-24b2cabd0b3f' class='xr-var-data-in' type='checkbox'><label for='data-fda4a7ad-473f-4bb2-92b9-24b2cabd0b3f' 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, ..., 7997, 7998, 7999])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ccf3e43e-666e-4de5-a9d8-dd09a546faa9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ccf3e43e-666e-4de5-a9d8-dd09a546faa9' 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>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-adbeb71f-66ec-4736-8b92-8f439fdcddc6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-adbeb71f-66ec-4736-8b92-8f439fdcddc6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0017df3a-15ea-4b73-9a24-942241913d44' class='xr-var-data-in' type='checkbox'><label for='data-0017df3a-15ea-4b73-9a24-942241913d44' 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","       ...,\n","       [False, False, False, ..., False, False, False],\n","       [False, False, False, ..., False, False, False],\n","       [False, False, False, ..., False, False, False]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-34f89bcb-1c2e-4e14-8bb0-24cb84081274' class='xr-section-summary-in' type='checkbox'  ><label for='section-34f89bcb-1c2e-4e14-8bb0-24cb84081274' 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-d167a81c-664a-48a7-91de-71efb964ad33' class='xr-index-data-in' type='checkbox'/><label for='index-d167a81c-664a-48a7-91de-71efb964ad33' 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], dtype=&#x27;int64&#x27;, name=&#x27;chain&#x27;))</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-2c490130-7865-415f-8497-3e79b35f01c8' class='xr-index-data-in' type='checkbox'/><label for='index-2c490130-7865-415f-8497-3e79b35f01c8' 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","       7990, 7991, 7992, 7993, 7994, 7995, 7996, 7997, 7998, 7999],\n","      dtype=&#x27;int64&#x27;, name=&#x27;draw&#x27;, length=8000))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b5e6b1d8-32e0-4bbb-bdfa-75a47f1f7035' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b5e6b1d8-32e0-4bbb-bdfa-75a47f1f7035' 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>2024-04-05T21:59:19.614816</dd><dt><span>arviz_version :</span></dt><dd>0.15.1</dd><dt><span>inference_library :</span></dt><dd>numpyro</dd><dt><span>inference_library_version :</span></dt><dd>0.10.1</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_data8ac175a4-4712-4c66-8bdd-785a988965b0\" class=\"xr-section-summary-in\" type=\"checkbox\">\n","                  <label for=\"idata_observed_data8ac175a4-4712-4c66-8bdd-785a988965b0\" 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","                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4;\n","}\n","\n",".xr-index-preview {\n","  grid-column: 2 / 5;\n","  color: var(--xr-font-color2);\n","}\n","\n",".xr-var-name,\n",".xr-var-dims,\n",".xr-var-dtype,\n",".xr-preview,\n",".xr-attrs dt {\n","  white-space: nowrap;\n","  overflow: hidden;\n","  text-overflow: ellipsis;\n","  padding-right: 10px;\n","}\n","\n",".xr-var-name:hover,\n",".xr-var-dims:hover,\n",".xr-var-dtype:hover,\n",".xr-attrs dt:hover {\n","  overflow: visible;\n","  width: auto;\n","  z-index: 1;\n","}\n","\n",".xr-var-attrs,\n",".xr-var-data,\n",".xr-index-data {\n","  display: none;\n","  background-color: var(--xr-background-color) !important;\n","  padding-bottom: 5px !important;\n","}\n","\n",".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",".xr-var-data-in:checked ~ .xr-var-data,\n",".xr-index-data-in:checked ~ .xr-index-data {\n","  display: block;\n","}\n","\n",".xr-var-data > table {\n","  float: right;\n","}\n","\n",".xr-var-name span,\n",".xr-var-data,\n",".xr-index-name div,\n",".xr-index-data,\n",".xr-attrs {\n","  padding-left: 25px !important;\n","}\n","\n",".xr-attrs,\n",".xr-var-attrs,\n",".xr-var-data,\n",".xr-index-data {\n","  grid-column: 1 / -1;\n","}\n","\n","dl.xr-attrs {\n","  padding: 0;\n","  margin: 0;\n","  display: grid;\n","  grid-template-columns: 125px auto;\n","}\n","\n",".xr-attrs dt,\n",".xr-attrs dd {\n","  padding: 0;\n","  margin: 0;\n","  float: left;\n","  padding-right: 10px;\n","  width: auto;\n","}\n","\n",".xr-attrs dt {\n","  font-weight: normal;\n","  grid-column: 1;\n","}\n","\n",".xr-attrs dt:hover span {\n","  display: inline-block;\n","  background: var(--xr-background-color);\n","  padding-right: 10px;\n","}\n","\n",".xr-attrs dd {\n","  grid-column: 2;\n","  white-space: pre-wrap;\n","  word-break: break-all;\n","}\n","\n",".xr-icon-database,\n",".xr-icon-file-text2,\n",".xr-no-icon {\n","  display: inline-block;\n","  vertical-align: middle;\n","  width: 1em;\n","  height: 1.5em !important;\n","  stroke-width: 0;\n","  stroke: currentColor;\n","  fill: currentColor;\n","}\n","</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n","Dimensions:    (obs_dim_0: 150, obs_dim_1: 6)\n","Coordinates:\n","  * obs_dim_0  (obs_dim_0) int64 0 1 2 3 4 5 6 7 ... 143 144 145 146 147 148 149\n","  * obs_dim_1  (obs_dim_1) int64 0 1 2 3 4 5\n","Data variables:\n","    obs        (obs_dim_0, obs_dim_1) int64 1 0 1 1 1 1 1 1 ... 1 2 2 1 2 1 1 1\n","Attributes:\n","    created_at:                 2024-04-05T21:59:23.856639\n","    arviz_version:              0.15.1\n","    inference_library:          numpyro\n","    inference_library_version:  0.10.1</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-31d27bb4-d7a2-4c25-92d4-1ec05376d62d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-31d27bb4-d7a2-4c25-92d4-1ec05376d62d' 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'>obs_dim_0</span>: 150</li><li><span class='xr-has-index'>obs_dim_1</span>: 6</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-dff6aef5-650a-499c-b6da-a07ae0aaba75' class='xr-section-summary-in' type='checkbox'  checked><label for='section-dff6aef5-650a-499c-b6da-a07ae0aaba75' 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'>obs_dim_0</span></div><div class='xr-var-dims'>(obs_dim_0)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 145 146 147 148 149</div><input id='attrs-90220f73-1724-46ec-b044-ab7a78f6b5cc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-90220f73-1724-46ec-b044-ab7a78f6b5cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-78d30833-b7ac-40f9-a6d3-ca93904c0fd1' class='xr-var-data-in' type='checkbox'><label for='data-78d30833-b7ac-40f9-a6d3-ca93904c0fd1' 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,\n","        14,  15,  16,  17,  18,  19,  20,  21,  22,  23,  24,  25,  26,  27,\n","        28,  29,  30,  31,  32,  33,  34,  35,  36,  37,  38,  39,  40,  41,\n","        42,  43,  44,  45,  46,  47,  48,  49,  50,  51,  52,  53,  54,  55,\n","        56,  57,  58,  59,  60,  61,  62,  63,  64,  65,  66,  67,  68,  69,\n","        70,  71,  72,  73,  74,  75,  76,  77,  78,  79,  80,  81,  82,  83,\n","        84,  85,  86,  87,  88,  89,  90,  91,  92,  93,  94,  95,  96,  97,\n","        98,  99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111,\n","       112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125,\n","       126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139,\n","       140, 141, 142, 143, 144, 145, 146, 147, 148, 149])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>obs_dim_1</span></div><div class='xr-var-dims'>(obs_dim_1)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5</div><input id='attrs-460ee49d-2e59-4d5e-a469-6d9b5f57dc7d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-460ee49d-2e59-4d5e-a469-6d9b5f57dc7d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7fd0db9c-b5f8-4cfa-87a0-fb3bbad0605c' class='xr-var-data-in' type='checkbox'><label for='data-7fd0db9c-b5f8-4cfa-87a0-fb3bbad0605c' 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])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bb698a15-c2ee-4777-979d-884ff7a841e9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bb698a15-c2ee-4777-979d-884ff7a841e9' 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>obs</span></div><div class='xr-var-dims'>(obs_dim_0, obs_dim_1)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 0 1 1 1 1 1 1 ... 1 2 2 1 2 1 1 1</div><input id='attrs-e4e4bb6b-b8e5-4b1c-81d4-2f4398ff2d8a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e4e4bb6b-b8e5-4b1c-81d4-2f4398ff2d8a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-59a4dd11-d645-41e1-9f61-2fab4af6837a' class='xr-var-data-in' type='checkbox'><label for='data-59a4dd11-d645-41e1-9f61-2fab4af6837a' 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, 0, 1, 1, 1, 1],\n","       [1, 1, 1, 1, 1, 0],\n","       [1, 0, 0, 0, 0, 0],\n","       [1, 1, 2, 2, 2, 2],\n","       [1, 1, 1, 1, 2, 2],\n","       [2, 1, 1, 1, 1, 0],\n","       [2, 0, 1, 0, 0, 0],\n","       [2, 2, 0, 1, 0, 0],\n","       [2, 1, 2, 2, 1, 1],\n","       [0, 0, 0, 0, 0, 0],\n","       [2, 2, 2, 2, 2, 0],\n","       [0, 0, 2, 0, 2, 0],\n","       [2, 2, 1, 2, 2, 0],\n","       [0, 0, 0, 0, 0, 0],\n","       [0, 0, 0, 0, 0, 0],\n","       [1, 0, 1, 1, 0, 0],\n","       [2, 0, 1, 0, 2, 0],\n","       [2, 2, 2, 2, 2, 2],\n","       [2, 1, 1, 1, 1, 0],\n","       [2, 2, 2, 0, 2, 2],\n","...\n","       [2, 2, 2, 2, 2, 2],\n","       [1, 2, 2, 0, 0, 0],\n","       [0, 0, 0, 0, 0, 0],\n","       [1, 1, 1, 2, 1, 2],\n","       [0, 0, 0, 0, 0, 0],\n","       [2, 2, 2, 2, 2, 2],\n","       [2, 2, 2, 2, 0, 0],\n","       [1, 1, 1, 1, 1, 0],\n","       [0, 0, 0, 0, 0, 0],\n","       [1, 1, 1, 0, 0, 0],\n","       [2, 1, 1, 1, 1, 2],\n","       [2, 2, 2, 2, 2, 1],\n","       [1, 1, 1, 1, 1, 1],\n","       [0, 0, 0, 0, 0, 0],\n","       [0, 2, 2, 0, 0, 0],\n","       [1, 1, 1, 2, 2, 2],\n","       [1, 1, 1, 1, 1, 1],\n","       [2, 2, 1, 2, 2, 2],\n","       [2, 2, 2, 0, 1, 2],\n","       [2, 1, 2, 1, 1, 1]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0d32570c-94a7-4ba3-8d0e-f0b2dd1300a1' class='xr-section-summary-in' type='checkbox'  ><label for='section-0d32570c-94a7-4ba3-8d0e-f0b2dd1300a1' 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>obs_dim_0</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-fe65c15b-d1bc-4e48-a871-9056baa82b68' class='xr-index-data-in' type='checkbox'/><label for='index-fe65c15b-d1bc-4e48-a871-9056baa82b68' 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","       140, 141, 142, 143, 144, 145, 146, 147, 148, 149],\n","      dtype=&#x27;int64&#x27;, name=&#x27;obs_dim_0&#x27;, length=150))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>obs_dim_1</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ed37384a-52c0-4e2d-97a9-0be15819fb5d' class='xr-index-data-in' type='checkbox'/><label for='index-ed37384a-52c0-4e2d-97a9-0be15819fb5d' 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], dtype=&#x27;int64&#x27;, name=&#x27;obs_dim_1&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-868a4784-5cf8-4f5f-804f-79e38ab97a28' class='xr-section-summary-in' type='checkbox'  checked><label for='section-868a4784-5cf8-4f5f-804f-79e38ab97a28' 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>2024-04-05T21:59:23.856639</dd><dt><span>arviz_version :</span></dt><dd>0.15.1</dd><dt><span>inference_library :</span></dt><dd>numpyro</dd><dt><span>inference_library_version :</span></dt><dd>0.10.1</dd></dl></div></li></ul></div></div><br></div>\n","                      </ul>\n","                  </div>\n","            </li>\n","            \n","              </ul>\n","            </div>\n","            <style> /* CSS stylesheet for displaying InferenceData objects in jupyterlab.\n"," *\n"," */\n","\n",":root {\n","  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n","  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n","  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n","  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n","  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n","  --xr-background-color: var(--jp-layout-color0, white);\n","  --xr-background-color-row-even: 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4;\n","}\n","\n",".xr-var-name,\n",".xr-var-dims,\n",".xr-var-dtype,\n",".xr-preview,\n",".xr-attrs dt {\n","  white-space: nowrap;\n","  overflow: hidden;\n","  text-overflow: ellipsis;\n","  padding-right: 10px;\n","}\n","\n",".xr-var-name:hover,\n",".xr-var-dims:hover,\n",".xr-var-dtype:hover,\n",".xr-attrs dt:hover {\n","  overflow: visible;\n","  width: auto;\n","  z-index: 1;\n","}\n","\n",".xr-var-attrs,\n",".xr-var-data {\n","  display: none;\n","  background-color: var(--xr-background-color) !important;\n","  padding-bottom: 5px !important;\n","}\n","\n",".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",".xr-var-data-in:checked ~ .xr-var-data {\n","  display: block;\n","}\n","\n",".xr-var-data > table {\n","  float: right;\n","}\n","\n",".xr-var-name span,\n",".xr-var-data,\n",".xr-attrs {\n","  padding-left: 25px !important;\n","}\n","\n",".xr-attrs,\n",".xr-var-attrs,\n",".xr-var-data {\n","  grid-column: 1 / -1;\n","}\n","\n","dl.xr-attrs {\n","  padding: 0;\n","  margin: 0;\n","  display: grid;\n","  grid-template-columns: 125px auto;\n","}\n","\n",".xr-attrs dt, dd {\n","  padding: 0;\n","  margin: 0;\n","  float: left;\n","  padding-right: 10px;\n","  width: auto;\n","}\n","\n",".xr-attrs dt {\n","  font-weight: normal;\n","  grid-column: 1;\n","}\n","\n",".xr-attrs dt:hover span {\n","  display: inline-block;\n","  background: var(--xr-background-color);\n","  padding-right: 10px;\n","}\n","\n",".xr-attrs dd {\n","  grid-column: 2;\n","  white-space: pre-wrap;\n","  word-break: break-all;\n","}\n","\n",".xr-icon-database,\n",".xr-icon-file-text2 {\n","  display: inline-block;\n","  vertical-align: middle;\n","  width: 1em;\n","  height: 1.5em !important;\n","  stroke-width: 0;\n","  stroke: currentColor;\n","  fill: currentColor;\n","}\n",".xr-wrap{width:700px!important;} </style>"]},"metadata":{},"execution_count":29}],"source":["idata = az.from_numpyro(mcmc)\n","idata"]},{"cell_type":"code","execution_count":30,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":598},"id":"PUhu-Gb5zWcq","outputId":"7b1b2c37-439d-4a34-b70f-93dcf0f2d4a0","executionInfo":{"status":"ok","timestamp":1712354641812,"user_tz":-540,"elapsed":277361,"user":{"displayName":"Eiji Ohta","userId":"15998100295259505885"}}},"outputs":[{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.10/dist-packages/arviz/utils.py:184: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details.\n","  numba_fn = numba.jit(**self.kwargs)(self.function)\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 1200x600 with 6 Axes>"],"image/png":"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\n"},"metadata":{}}],"source":["axes = az.plot_trace(idata)\n","plt.gcf().subplots_adjust(wspace=0.5, hspace=0.5)"]},{"cell_type":"code","execution_count":31,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"25lh29fMzWcq","outputId":"1d072386-45c9-4d8f-df36-cca7699b6c78","executionInfo":{"status":"ok","timestamp":1712354644943,"user_tz":-540,"elapsed":3137,"user":{"displayName":"Eiji Ohta","userId":"15998100295259505885"}}},"outputs":[{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.10/dist-packages/arviz/utils.py:184: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details.\n","  numba_fn = numba.jit(**self.kwargs)(self.function)\n"]},{"output_type":"execute_result","data":{"text/plain":["                 mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_bulk  \\\n","theta[0, 0, 0]  2.140  0.596   1.082    3.294      0.004    0.003   21392.0   \n","theta[0, 0, 1]  0.592  1.754  -2.675    3.973      0.008    0.006   46007.0   \n","theta[0, 0, 2] -1.365  1.606  -4.389    1.721      0.008    0.006   43682.0   \n","theta[0, 1, 0]  2.022  0.566   0.980    3.096      0.004    0.003   24693.0   \n","theta[0, 1, 1] -0.431  1.704  -3.670    2.773      0.007    0.006   52219.0   \n","theta[0, 1, 2] -0.034  1.535  -2.938    2.907      0.007    0.006   51208.0   \n","theta[0, 2, 0]  2.384  0.610   1.266    3.541      0.004    0.003   24920.0   \n","theta[0, 2, 1] -0.212  1.731  -3.495    3.063      0.007    0.007   60562.0   \n","theta[0, 2, 2] -0.413  1.590  -3.333    2.717      0.007    0.006   56174.0   \n","theta[0, 3, 0]  3.389  0.773   2.000    4.875      0.005    0.004   24140.0   \n","theta[0, 3, 1]  0.329  1.848  -3.140    3.839      0.007    0.007   70582.0   \n","theta[0, 3, 2] -1.433  1.811  -4.837    1.987      0.008    0.006   51133.0   \n","theta[0, 4, 0]  1.901  0.558   0.863    2.954      0.004    0.003   25330.0   \n","theta[0, 4, 1]  0.097  1.691  -3.171    3.258      0.007    0.006   53027.0   \n","theta[0, 4, 2] -0.682  1.530  -3.599    2.256      0.007    0.005   50249.0   \n","theta[0, 5, 0]  3.783  0.849   2.223    5.364      0.005    0.004   26784.0   \n","theta[0, 5, 1] -0.037  1.864  -3.567    3.460      0.007    0.007   81078.0   \n","theta[0, 5, 2] -1.102  1.843  -4.546    2.382      0.008    0.006   58066.0   \n","theta[1, 0, 0] -2.154  0.695  -3.515   -0.927      0.004    0.003   26220.0   \n","theta[1, 0, 1]  0.847  1.630  -2.400    3.833      0.008    0.006   41265.0   \n","theta[1, 0, 2] -0.514  1.412  -3.094    2.346      0.007    0.006   38115.0   \n","theta[1, 1, 0] -1.598  0.662  -2.873   -0.395      0.005    0.003   19056.0   \n","theta[1, 1, 1]  1.552  1.730  -1.869    4.667      0.011    0.008   26858.0   \n","theta[1, 1, 2] -1.515  1.504  -4.408    1.351      0.009    0.006   29174.0   \n","theta[1, 2, 0] -1.850  0.701  -3.186   -0.555      0.005    0.004   18922.0   \n","theta[1, 2, 1]  1.634  1.742  -1.775    4.821      0.011    0.007   27768.0   \n","theta[1, 2, 2] -1.565  1.527  -4.417    1.430      0.009    0.007   27720.0   \n","theta[1, 3, 0] -0.742  0.525  -1.752    0.227      0.003    0.002   31210.0   \n","theta[1, 3, 1]  0.249  1.630  -2.858    3.385      0.008    0.007   41908.0   \n","theta[1, 3, 2] -0.153  1.410  -2.951    2.511      0.007    0.006   38565.0   \n","theta[1, 4, 0] -1.836  0.639  -3.069   -0.678      0.004    0.003   29654.0   \n","theta[1, 4, 1]  0.246  1.619  -2.883    3.309      0.008    0.006   45839.0   \n","theta[1, 4, 2]  0.191  1.393  -2.501    2.860      0.007    0.006   42982.0   \n","theta[1, 5, 0]  0.186  0.493  -0.739    1.129      0.003    0.002   32286.0   \n","theta[1, 5, 1] -0.069  1.626  -3.192    3.008      0.008    0.006   41151.0   \n","theta[1, 5, 2]  0.071  1.410  -2.617    2.824      0.007    0.006   38855.0   \n","theta[2, 0, 0] -1.192  0.594  -2.339   -0.108      0.004    0.003   21784.0   \n","theta[2, 0, 1] -0.786  1.657  -3.837    2.419      0.009    0.006   33862.0   \n","theta[2, 0, 2]  1.328  1.438  -1.540    3.993      0.008    0.006   32991.0   \n","theta[2, 1, 0] -2.006  0.717  -3.396   -0.719      0.005    0.003   22018.0   \n","theta[2, 1, 1] -0.995  1.716  -4.167    2.285      0.010    0.007   31235.0   \n","theta[2, 1, 2]  1.795  1.474  -1.205    4.448      0.009    0.006   31531.0   \n","theta[2, 2, 0] -2.008  0.719  -3.360   -0.672      0.005    0.003   22301.0   \n","theta[2, 2, 1] -1.001  1.719  -4.184    2.307      0.010    0.007   30933.0   \n","theta[2, 2, 2]  1.782  1.482  -1.161    4.515      0.009    0.006   30662.0   \n","theta[2, 3, 0]  0.725  0.675  -0.492    2.010      0.006    0.004   12472.0   \n","theta[2, 3, 1] -2.073  1.887  -5.445    1.641      0.013    0.009   22058.0   \n","theta[2, 3, 2]  2.442  1.656  -0.801    5.468      0.012    0.009   19591.0   \n","theta[2, 4, 0] -0.876  0.538  -1.901    0.139      0.003    0.002   29724.0   \n","theta[2, 4, 1] -0.092  1.623  -3.143    3.065      0.007    0.006   47102.0   \n","theta[2, 4, 2]  0.391  1.419  -2.433    3.032      0.007    0.006   37451.0   \n","theta[2, 5, 0]  0.802  0.538  -0.177    1.851      0.004    0.003   23368.0   \n","theta[2, 5, 1] -0.725  1.652  -3.946    2.371      0.008    0.006   42045.0   \n","theta[2, 5, 2]  0.756  1.464  -2.183    3.420      0.008    0.006   34093.0   \n","\n","                ess_tail  r_hat  \n","theta[0, 0, 0]   34114.0    1.0  \n","theta[0, 0, 1]   44214.0    1.0  \n","theta[0, 0, 2]   38166.0    1.0  \n","theta[0, 1, 0]   34578.0    1.0  \n","theta[0, 1, 1]   45268.0    1.0  \n","theta[0, 1, 2]   44570.0    1.0  \n","theta[0, 2, 0]   34985.0    1.0  \n","theta[0, 2, 1]   47825.0    1.0  \n","theta[0, 2, 2]   45625.0    1.0  \n","theta[0, 3, 0]   38565.0    1.0  \n","theta[0, 3, 1]   46982.0    1.0  \n","theta[0, 3, 2]   39533.0    1.0  \n","theta[0, 4, 0]   34495.0    1.0  \n","theta[0, 4, 1]   46856.0    1.0  \n","theta[0, 4, 2]   42863.0    1.0  \n","theta[0, 5, 0]   37352.0    1.0  \n","theta[0, 5, 1]   50383.0    1.0  \n","theta[0, 5, 2]   45399.0    1.0  \n","theta[1, 0, 0]   36525.0    1.0  \n","theta[1, 0, 1]   41302.0    1.0  \n","theta[1, 0, 2]   34586.0    1.0  \n","theta[1, 1, 0]   34693.0    1.0  \n","theta[1, 1, 1]   39637.0    1.0  \n","theta[1, 1, 2]   30389.0    1.0  \n","theta[1, 2, 0]   34355.0    1.0  \n","theta[1, 2, 1]   35677.0    1.0  \n","theta[1, 2, 2]   28605.0    1.0  \n","theta[1, 3, 0]   36103.0    1.0  \n","theta[1, 3, 1]   42562.0    1.0  \n","theta[1, 3, 2]   37126.0    1.0  \n","theta[1, 4, 0]   36123.0    1.0  \n","theta[1, 4, 1]   45501.0    1.0  \n","theta[1, 4, 2]   39605.0    1.0  \n","theta[1, 5, 0]   36349.0    1.0  \n","theta[1, 5, 1]   43787.0    1.0  \n","theta[1, 5, 2]   40097.0    1.0  \n","theta[2, 0, 0]   35305.0    1.0  \n","theta[2, 0, 1]   41653.0    1.0  \n","theta[2, 0, 2]   32827.0    1.0  \n","theta[2, 1, 0]   35865.0    1.0  \n","theta[2, 1, 1]   39860.0    1.0  \n","theta[2, 1, 2]   29612.0    1.0  \n","theta[2, 2, 0]   34105.0    1.0  \n","theta[2, 2, 1]   38924.0    1.0  \n","theta[2, 2, 2]   29014.0    1.0  \n","theta[2, 3, 0]   27768.0    1.0  \n","theta[2, 3, 1]   35964.0    1.0  \n","theta[2, 3, 2]   25112.0    1.0  \n","theta[2, 4, 0]   36818.0    1.0  \n","theta[2, 4, 1]   46262.0    1.0  \n","theta[2, 4, 2]   38376.0    1.0  \n","theta[2, 5, 0]   31786.0    1.0  \n","theta[2, 5, 1]   43599.0    1.0  \n","theta[2, 5, 2]   32709.0    1.0  "],"text/html":["\n","  <div id=\"df-1e76ee62-60ba-4893-a56d-531189d81101\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>mean</th>\n","      <th>sd</th>\n","      <th>hdi_3%</th>\n","      <th>hdi_97%</th>\n","      <th>mcse_mean</th>\n","      <th>mcse_sd</th>\n","      <th>ess_bulk</th>\n","      <th>ess_tail</th>\n","      <th>r_hat</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>theta[0, 0, 0]</th>\n","      <td>2.140</td>\n","      <td>0.596</td>\n","      <td>1.082</td>\n","      <td>3.294</td>\n","      <td>0.004</td>\n","      <td>0.003</td>\n","      <td>21392.0</td>\n","      <td>34114.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>theta[0, 0, 1]</th>\n","      <td>0.592</td>\n","      <td>1.754</td>\n","      <td>-2.675</td>\n","      <td>3.973</td>\n","      <td>0.008</td>\n","      <td>0.006</td>\n","      <td>46007.0</td>\n","      <td>44214.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>theta[0, 0, 2]</th>\n","      <td>-1.365</td>\n","      <td>1.606</td>\n","      <td>-4.389</td>\n","      <td>1.721</td>\n","      <td>0.008</td>\n","      <td>0.006</td>\n","      <td>43682.0</td>\n","      <td>38166.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>theta[0, 1, 0]</th>\n","      <td>2.022</td>\n","      <td>0.566</td>\n","      <td>0.980</td>\n","      <td>3.096</td>\n","      <td>0.004</td>\n","      <td>0.003</td>\n","      <td>24693.0</td>\n","      <td>34578.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>theta[0, 1, 1]</th>\n","      <td>-0.431</td>\n","      <td>1.704</td>\n","      <td>-3.670</td>\n","      <td>2.773</td>\n","      <td>0.007</td>\n","      <td>0.006</td>\n","      <td>52219.0</td>\n","      <td>45268.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>theta[0, 1, 2]</th>\n","      <td>-0.034</td>\n","      <td>1.535</td>\n","      <td>-2.938</td>\n","      <td>2.907</td>\n","      <td>0.007</td>\n","      <td>0.006</td>\n","      <td>51208.0</td>\n","      <td>44570.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>theta[0, 2, 0]</th>\n","      <td>2.384</td>\n","      <td>0.610</td>\n","      <td>1.266</td>\n","      <td>3.541</td>\n","      <td>0.004</td>\n","      <td>0.003</td>\n","      <td>24920.0</td>\n","      <td>34985.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>theta[0, 2, 1]</th>\n","      <td>-0.212</td>\n","      <td>1.731</td>\n","      <td>-3.495</td>\n","      <td>3.063</td>\n","      <td>0.007</td>\n","      <td>0.007</td>\n","      <td>60562.0</td>\n","      <td>47825.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>theta[0, 2, 2]</th>\n","      <td>-0.413</td>\n","      <td>1.590</td>\n","      <td>-3.333</td>\n","      <td>2.717</td>\n","      <td>0.007</td>\n","      <td>0.006</td>\n","      <td>56174.0</td>\n","      <td>45625.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>theta[0, 3, 0]</th>\n","      <td>3.389</td>\n","      <td>0.773</td>\n","      <td>2.000</td>\n","      <td>4.875</td>\n","      <td>0.005</td>\n","      <td>0.004</td>\n","      <td>24140.0</td>\n","      <td>38565.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>theta[0, 3, 1]</th>\n","      <td>0.329</td>\n","      <td>1.848</td>\n","      <td>-3.140</td>\n","      <td>3.839</td>\n","      <td>0.007</td>\n","      <td>0.007</td>\n","      <td>70582.0</td>\n","      <td>46982.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>theta[0, 3, 2]</th>\n","      <td>-1.433</td>\n","      <td>1.811</td>\n","      <td>-4.837</td>\n","      <td>1.987</td>\n","      <td>0.008</td>\n","      <td>0.006</td>\n","      <td>51133.0</td>\n","      <td>39533.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>theta[0, 4, 0]</th>\n","      <td>1.901</td>\n","      <td>0.558</td>\n","      <td>0.863</td>\n","      <td>2.954</td>\n","      <td>0.004</td>\n","      <td>0.003</td>\n","      <td>25330.0</td>\n","      <td>34495.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>theta[0, 4, 1]</th>\n","      <td>0.097</td>\n","      <td>1.691</td>\n","      <td>-3.171</td>\n","      <td>3.258</td>\n","      <td>0.007</td>\n","      <td>0.006</td>\n","      <td>53027.0</td>\n","      <td>46856.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>theta[0, 4, 2]</th>\n","      <td>-0.682</td>\n","      <td>1.530</td>\n","      <td>-3.599</td>\n","      <td>2.256</td>\n","      <td>0.007</td>\n","      <td>0.005</td>\n","      <td>50249.0</td>\n","      <td>42863.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>theta[0, 5, 0]</th>\n","      <td>3.783</td>\n","      <td>0.849</td>\n","      <td>2.223</td>\n","      <td>5.364</td>\n","      <td>0.005</td>\n","      <td>0.004</td>\n","      <td>26784.0</td>\n","      <td>37352.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>theta[0, 5, 1]</th>\n","      <td>-0.037</td>\n","      <td>1.864</td>\n","      <td>-3.567</td>\n","      <td>3.460</td>\n","      <td>0.007</td>\n","      <td>0.007</td>\n","      <td>81078.0</td>\n","      <td>50383.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>theta[0, 5, 2]</th>\n","      <td>-1.102</td>\n","      <td>1.843</td>\n","      <td>-4.546</td>\n","      <td>2.382</td>\n","      <td>0.008</td>\n","      <td>0.006</td>\n","      <td>58066.0</td>\n","      <td>45399.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>theta[1, 0, 0]</th>\n","      <td>-2.154</td>\n","      <td>0.695</td>\n","      <td>-3.515</td>\n","      <td>-0.927</td>\n","      <td>0.004</td>\n","      <td>0.003</td>\n","      <td>26220.0</td>\n","      <td>36525.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>theta[1, 0, 1]</th>\n","      <td>0.847</td>\n","      <td>1.630</td>\n","      <td>-2.400</td>\n","      <td>3.833</td>\n","      <td>0.008</td>\n","      <td>0.006</td>\n","      <td>41265.0</td>\n","      <td>41302.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>theta[1, 0, 2]</th>\n","      <td>-0.514</td>\n","      <td>1.412</td>\n","      <td>-3.094</td>\n","      <td>2.346</td>\n","      <td>0.007</td>\n","      <td>0.006</td>\n","      <td>38115.0</td>\n","      <td>34586.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>theta[1, 1, 0]</th>\n","      <td>-1.598</td>\n","      <td>0.662</td>\n","      <td>-2.873</td>\n","      <td>-0.395</td>\n","      <td>0.005</td>\n","      <td>0.003</td>\n","      <td>19056.0</td>\n","      <td>34693.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>theta[1, 1, 1]</th>\n","      <td>1.552</td>\n","      <td>1.730</td>\n","      <td>-1.869</td>\n","      <td>4.667</td>\n","      <td>0.011</td>\n","      <td>0.008</td>\n","      <td>26858.0</td>\n","      <td>39637.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>theta[1, 1, 2]</th>\n","      <td>-1.515</td>\n","      <td>1.504</td>\n","      <td>-4.408</td>\n","      <td>1.351</td>\n","      <td>0.009</td>\n","      <td>0.006</td>\n","      <td>29174.0</td>\n","      <td>30389.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>theta[1, 2, 0]</th>\n","      <td>-1.850</td>\n","      <td>0.701</td>\n","      <td>-3.186</td>\n","      <td>-0.555</td>\n","      <td>0.005</td>\n","      <td>0.004</td>\n","      <td>18922.0</td>\n","      <td>34355.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>theta[1, 2, 1]</th>\n","      <td>1.634</td>\n","      <td>1.742</td>\n","      <td>-1.775</td>\n","      <td>4.821</td>\n","      <td>0.011</td>\n","      <td>0.007</td>\n","      <td>27768.0</td>\n","      <td>35677.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>theta[1, 2, 2]</th>\n","      <td>-1.565</td>\n","      <td>1.527</td>\n","      <td>-4.417</td>\n","      <td>1.430</td>\n","      <td>0.009</td>\n","      <td>0.007</td>\n","      <td>27720.0</td>\n","      <td>28605.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>theta[1, 3, 0]</th>\n","      <td>-0.742</td>\n","      <td>0.525</td>\n","      <td>-1.752</td>\n","      <td>0.227</td>\n","      <td>0.003</td>\n","      <td>0.002</td>\n","      <td>31210.0</td>\n","      <td>36103.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>theta[1, 3, 1]</th>\n","      <td>0.249</td>\n","      <td>1.630</td>\n","      <td>-2.858</td>\n","      <td>3.385</td>\n","      <td>0.008</td>\n","      <td>0.007</td>\n","      <td>41908.0</td>\n","      <td>42562.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>theta[1, 3, 2]</th>\n","      <td>-0.153</td>\n","      <td>1.410</td>\n","      <td>-2.951</td>\n","      <td>2.511</td>\n","      <td>0.007</td>\n","      <td>0.006</td>\n","      <td>38565.0</td>\n","      <td>37126.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>theta[1, 4, 0]</th>\n","      <td>-1.836</td>\n","      <td>0.639</td>\n","      <td>-3.069</td>\n","      <td>-0.678</td>\n","      <td>0.004</td>\n","      <td>0.003</td>\n","      <td>29654.0</td>\n","      <td>36123.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>theta[1, 4, 1]</th>\n","      <td>0.246</td>\n","      <td>1.619</td>\n","      <td>-2.883</td>\n","      <td>3.309</td>\n","      <td>0.008</td>\n","      <td>0.006</td>\n","      <td>45839.0</td>\n","      <td>45501.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>theta[1, 4, 2]</th>\n","      <td>0.191</td>\n","      <td>1.393</td>\n","      <td>-2.501</td>\n","      <td>2.860</td>\n","      <td>0.007</td>\n","      <td>0.006</td>\n","      <td>42982.0</td>\n","      <td>39605.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>theta[1, 5, 0]</th>\n","      <td>0.186</td>\n","      <td>0.493</td>\n","      <td>-0.739</td>\n","      <td>1.129</td>\n","      <td>0.003</td>\n","      <td>0.002</td>\n","      <td>32286.0</td>\n","      <td>36349.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>theta[1, 5, 1]</th>\n","      <td>-0.069</td>\n","      <td>1.626</td>\n","      <td>-3.192</td>\n","      <td>3.008</td>\n","      <td>0.008</td>\n","      <td>0.006</td>\n","      <td>41151.0</td>\n","      <td>43787.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>theta[1, 5, 2]</th>\n","      <td>0.071</td>\n","      <td>1.410</td>\n","      <td>-2.617</td>\n","      <td>2.824</td>\n","      <td>0.007</td>\n","      <td>0.006</td>\n","      <td>38855.0</td>\n","      <td>40097.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>theta[2, 0, 0]</th>\n","      <td>-1.192</td>\n","      <td>0.594</td>\n","      <td>-2.339</td>\n","      <td>-0.108</td>\n","      <td>0.004</td>\n","      <td>0.003</td>\n","      <td>21784.0</td>\n","      <td>35305.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>theta[2, 0, 1]</th>\n","      <td>-0.786</td>\n","      <td>1.657</td>\n","      <td>-3.837</td>\n","      <td>2.419</td>\n","      <td>0.009</td>\n","      <td>0.006</td>\n","      <td>33862.0</td>\n","      <td>41653.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>theta[2, 0, 2]</th>\n","      <td>1.328</td>\n","      <td>1.438</td>\n","      <td>-1.540</td>\n","      <td>3.993</td>\n","      <td>0.008</td>\n","      <td>0.006</td>\n","      <td>32991.0</td>\n","      <td>32827.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>theta[2, 1, 0]</th>\n","      <td>-2.006</td>\n","      <td>0.717</td>\n","      <td>-3.396</td>\n","      <td>-0.719</td>\n","      <td>0.005</td>\n","      <td>0.003</td>\n","      <td>22018.0</td>\n","      <td>35865.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>theta[2, 1, 1]</th>\n","      <td>-0.995</td>\n","      <td>1.716</td>\n","      <td>-4.167</td>\n","      <td>2.285</td>\n","      <td>0.010</td>\n","      <td>0.007</td>\n","      <td>31235.0</td>\n","      <td>39860.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>theta[2, 1, 2]</th>\n","      <td>1.795</td>\n","      <td>1.474</td>\n","      <td>-1.205</td>\n","      <td>4.448</td>\n","      <td>0.009</td>\n","      <td>0.006</td>\n","      <td>31531.0</td>\n","      <td>29612.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>theta[2, 2, 0]</th>\n","      <td>-2.008</td>\n","      <td>0.719</td>\n","      <td>-3.360</td>\n","      <td>-0.672</td>\n","      <td>0.005</td>\n","      <td>0.003</td>\n","      <td>22301.0</td>\n","      <td>34105.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>theta[2, 2, 1]</th>\n","      <td>-1.001</td>\n","      <td>1.719</td>\n","      <td>-4.184</td>\n","      <td>2.307</td>\n","      <td>0.010</td>\n","      <td>0.007</td>\n","      <td>30933.0</td>\n","      <td>38924.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>theta[2, 2, 2]</th>\n","      <td>1.782</td>\n","      <td>1.482</td>\n","      <td>-1.161</td>\n","      <td>4.515</td>\n","      <td>0.009</td>\n","      <td>0.006</td>\n","      <td>30662.0</td>\n","      <td>29014.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>theta[2, 3, 0]</th>\n","      <td>0.725</td>\n","      <td>0.675</td>\n","      <td>-0.492</td>\n","      <td>2.010</td>\n","      <td>0.006</td>\n","      <td>0.004</td>\n","      <td>12472.0</td>\n","      <td>27768.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>theta[2, 3, 1]</th>\n","      <td>-2.073</td>\n","      <td>1.887</td>\n","      <td>-5.445</td>\n","      <td>1.641</td>\n","      <td>0.013</td>\n","      <td>0.009</td>\n","      <td>22058.0</td>\n","      <td>35964.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>theta[2, 3, 2]</th>\n","      <td>2.442</td>\n","      <td>1.656</td>\n","      <td>-0.801</td>\n","      <td>5.468</td>\n","      <td>0.012</td>\n","      <td>0.009</td>\n","      <td>19591.0</td>\n","      <td>25112.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>theta[2, 4, 0]</th>\n","      <td>-0.876</td>\n","      <td>0.538</td>\n","      <td>-1.901</td>\n","      <td>0.139</td>\n","      <td>0.003</td>\n","      <td>0.002</td>\n","      <td>29724.0</td>\n","      <td>36818.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>theta[2, 4, 1]</th>\n","      <td>-0.092</td>\n","      <td>1.623</td>\n","      <td>-3.143</td>\n","      <td>3.065</td>\n","      <td>0.007</td>\n","      <td>0.006</td>\n","      <td>47102.0</td>\n","      <td>46262.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>theta[2, 4, 2]</th>\n","      <td>0.391</td>\n","      <td>1.419</td>\n","      <td>-2.433</td>\n","      <td>3.032</td>\n","      <td>0.007</td>\n","      <td>0.006</td>\n","      <td>37451.0</td>\n","      <td>38376.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>theta[2, 5, 0]</th>\n","      <td>0.802</td>\n","      <td>0.538</td>\n","      <td>-0.177</td>\n","      <td>1.851</td>\n","      <td>0.004</td>\n","      <td>0.003</td>\n","      <td>23368.0</td>\n","      <td>31786.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>theta[2, 5, 1]</th>\n","      <td>-0.725</td>\n","      <td>1.652</td>\n","      <td>-3.946</td>\n","      <td>2.371</td>\n","      <td>0.008</td>\n","      <td>0.006</td>\n","      <td>42045.0</td>\n","      <td>43599.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>theta[2, 5, 2]</th>\n","      <td>0.756</td>\n","      <td>1.464</td>\n","      <td>-2.183</td>\n","      <td>3.420</td>\n","      <td>0.008</td>\n","      <td>0.006</td>\n","      <td>34093.0</td>\n","      <td>32709.0</td>\n","      <td>1.0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-1e76ee62-60ba-4893-a56d-531189d81101')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path 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{\n      \"column\": \"ess_tail\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 5707.843030558519,\n        \"min\": 25112.0,\n        \"max\": 50383.0,\n        \"num_unique_values\": 54,\n        \"samples\": [\n          41302.0,\n          46262.0,\n          36818.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"r_hat\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.0,\n        \"min\": 1.0,\n        \"max\": 1.0,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          1.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"}},"metadata":{},"execution_count":31}],"source":["az.summary(idata, var_names=['theta'])"]},{"cell_type":"markdown","metadata":{"id":"gAOTWSGWzWcq"},"source":["## Evaluate Rhat\n","\n","Evaluate whether the Rhat values of all parameters were less than 1.10."]},{"cell_type":"code","execution_count":32,"metadata":{"id":"5Oox-MLfzWcr","executionInfo":{"status":"ok","timestamp":1712354690365,"user_tz":-540,"elapsed":45424,"user":{"displayName":"Eiji Ohta","userId":"15998100295259505885"}}},"outputs":[],"source":["df = az.summary(idata)"]},{"cell_type":"code","execution_count":33,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"2ETRj8vezWcr","outputId":"e85f6649-e4e2-4a3d-e266-059b0258b0c0","executionInfo":{"status":"ok","timestamp":1712354690365,"user_tz":-540,"elapsed":17,"user":{"displayName":"Eiji Ohta","userId":"15998100295259505885"}}},"outputs":[{"output_type":"execute_result","data":{"text/plain":["alpha[0]          1.0\n","alpha[1]          1.0\n","alpha[2]          1.0\n","alpha[3]          1.0\n","alpha[4]          1.0\n","                 ... \n","theta[2, 4, 1]    1.0\n","theta[2, 4, 2]    1.0\n","theta[2, 5, 0]    1.0\n","theta[2, 5, 1]    1.0\n","theta[2, 5, 2]    1.0\n","Name: r_hat, Length: 654, dtype: float64"]},"metadata":{},"execution_count":33}],"source":["df['r_hat']"]},{"cell_type":"code","execution_count":34,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"T3PVpBpNzWcr","outputId":"663a96fe-d29d-4390-c03e-a4b6deefe473","executionInfo":{"status":"ok","timestamp":1712354690365,"user_tz":-540,"elapsed":14,"user":{"displayName":"Eiji Ohta","userId":"15998100295259505885"}}},"outputs":[{"output_type":"execute_result","data":{"text/plain":["0"]},"metadata":{},"execution_count":34}],"source":["np.count_nonzero(df['r_hat'] > 1.1)"]},{"cell_type":"markdown","metadata":{"id":"fxYpDrCyzWcr"},"source":["## Evaluate Theta"]},{"cell_type":"code","execution_count":35,"metadata":{"id":"aoB5XWX8zWcr","executionInfo":{"status":"ok","timestamp":1712354690366,"user_tz":-540,"elapsed":14,"user":{"displayName":"Eiji Ohta","userId":"15998100295259505885"}}},"outputs":[],"source":["# Doctor's ids to compare\n","idA = 1\n","idB = 5"]},{"cell_type":"code","execution_count":36,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"4x7T-sq4zWcr","outputId":"c6d1b194-4d04-4618-86fc-3f62e3def291","executionInfo":{"status":"ok","timestamp":1712354690366,"user_tz":-540,"elapsed":14,"user":{"displayName":"Eiji Ohta","userId":"15998100295259505885"}}},"outputs":[{"output_type":"execute_result","data":{"text/plain":["(8, 8000, 6, 3, 3)"]},"metadata":{},"execution_count":36}],"source":["theta = idata.posterior['theta'].to_numpy()\n","theta = theta.swapaxes(2, 3)\n","theta.shape"]},{"cell_type":"code","execution_count":37,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"gltnSIPpzWcr","outputId":"6d5c2c0d-3bf6-49ed-b90b-6a939ea5c820","executionInfo":{"status":"ok","timestamp":1712354690366,"user_tz":-540,"elapsed":13,"user":{"displayName":"Eiji Ohta","userId":"15998100295259505885"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["(8, 8000)\n","(8, 8000)\n"]}],"source":["theta_idA = theta[:, :, idA, 2, 2]\n","theta_idB = theta[:, :, idB, 2, 2]\n","\n","print(theta_idA.shape)\n","print(theta_idB.shape)"]},{"cell_type":"code","execution_count":38,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":0},"id":"2ZyGAiryzWcr","outputId":"0dbf6e55-318f-4641-8eeb-f438e9f81e00","executionInfo":{"status":"ok","timestamp":1712354690947,"user_tz":-540,"elapsed":593,"user":{"displayName":"Eiji Ohta","userId":"15998100295259505885"}}},"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1000x400 with 2 Axes>"],"image/png":"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\n"},"metadata":{}}],"source":["fig, axes = plt.subplots(1, 2, figsize=(10, 4))\n","\n","az.plot_posterior(theta_idA, ax=axes[0])\n","az.plot_posterior(theta_idB, ax=axes[1])\n","\n","plt.show()"]},{"cell_type":"code","execution_count":39,"metadata":{"id":"7CKqIgwLzWcr","executionInfo":{"status":"ok","timestamp":1712354690947,"user_tz":-540,"elapsed":5,"user":{"displayName":"Eiji Ohta","userId":"15998100295259505885"}}},"outputs":[],"source":["d = theta_idA - theta_idB"]},{"cell_type":"code","execution_count":40,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":0},"id":"BXZ_xJLwzWcr","outputId":"7ccf3283-b9d6-4dc7-930c-e276065345a3","executionInfo":{"status":"ok","timestamp":1712354690947,"user_tz":-540,"elapsed":4,"user":{"displayName":"Eiji Ohta","userId":"15998100295259505885"}}},"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}],"source":["az.plot_posterior(d, ref_val=0)\n","plt.show()"]},{"cell_type":"markdown","metadata":{"id":"jy9s_E2rzWcr"},"source":["## Calculate WAIC and LOO"]},{"cell_type":"code","execution_count":41,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"EFSSothCzWcs","outputId":"74530d20-9f3b-46fe-cad3-dcf69fe9b9a3","executionInfo":{"status":"ok","timestamp":1712354692705,"user_tz":-540,"elapsed":1762,"user":{"displayName":"Eiji Ohta","userId":"15998100295259505885"}}},"outputs":[{"output_type":"stream","name":"stderr","text":["<ipython-input-41-aa33c236106c>:1: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.\n","  az.waic(idata, scale='deviance')\n","/usr/local/lib/python3.10/dist-packages/arviz/stats/stats.py:1645: UserWarning: For one or more samples the posterior variance of the log predictive densities exceeds 0.4. This could be indication of WAIC starting to fail. \n","See http://arxiv.org/abs/1507.04544 for details\n","  warnings.warn(\n"]},{"output_type":"execute_result","data":{"text/plain":["Computed from 64000 posterior samples and 900 observations log-likelihood matrix.\n","\n","              Estimate       SE\n","deviance_waic  1144.81    47.56\n","p_waic          185.37        -\n","\n","There has been a warning during the calculation. Please check the results."]},"metadata":{},"execution_count":41}],"source":["az.waic(idata, scale='deviance')"]},{"cell_type":"code","execution_count":42,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"FX67stnNZoCF","outputId":"33de1d2f-3be3-46e5-c020-8fc6b6745cbd","executionInfo":{"status":"ok","timestamp":1712354710173,"user_tz":-540,"elapsed":17480,"user":{"displayName":"Eiji Ohta","userId":"15998100295259505885"}}},"outputs":[{"output_type":"stream","name":"stderr","text":["<ipython-input-42-f6188337fe90>:1: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.\n","  az.loo(idata, scale='deviance')\n","/usr/local/lib/python3.10/dist-packages/arviz/stats/stats.py:803: UserWarning: Estimated shape parameter of Pareto distribution is greater than 0.7 for one or more samples. You should consider using a more robust model, this is because importance sampling is less likely to work well if the marginal posterior and LOO posterior are very different. This is more likely to happen with a non-robust model and highly influential observations.\n","  warnings.warn(\n"]},{"output_type":"execute_result","data":{"text/plain":["Computed from 64000 posterior samples and 900 observations log-likelihood matrix.\n","\n","             Estimate       SE\n","deviance_loo  1174.15    49.28\n","p_loo          200.04        -\n","\n","There has been a warning during the calculation. Please check the results.\n","------\n","\n","Pareto k diagnostic values:\n","                         Count   Pct.\n","(-Inf, 0.5]   (good)      845   93.9%\n"," (0.5, 0.7]   (ok)         53    5.9%\n","   (0.7, 1]   (bad)         2    0.2%\n","   (1, Inf)   (very bad)    0    0.0%"]},"metadata":{},"execution_count":42}],"source":["az.loo(idata, scale='deviance')"]},{"cell_type":"markdown","metadata":{"id":"s0aMtPkQzWcs"},"source":["## Environment"]},{"cell_type":"code","execution_count":43,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"oq36ZenOzWcs","outputId":"4dabe5dd-4cb7-4bba-9da8-8f105fbf66cb","executionInfo":{"status":"ok","timestamp":1712354710174,"user_tz":-540,"elapsed":17,"user":{"displayName":"Eiji Ohta","userId":"15998100295259505885"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["Last updated: Fri Apr 05 2024\n","\n","Python implementation: CPython\n","Python version       : 3.10.12\n","IPython version      : 7.34.0\n","\n","jax       : 0.4.23\n","arviz     : 0.15.1\n","numpyro   : 0.10.1\n","numpy     : 1.25.2\n","pandas    : 2.0.3\n","seaborn   : 0.13.1\n","matplotlib: 3.7.1\n","\n","Watermark: 2.3.1\n","\n"]}],"source":["%load_ext watermark\n","%watermark -n -u -v -iv -w"]},{"cell_type":"code","execution_count":43,"metadata":{"id":"DyKOLY-BzWcs","executionInfo":{"status":"ok","timestamp":1712354710174,"user_tz":-540,"elapsed":13,"user":{"displayName":"Eiji 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