{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "6c4d4faf-ab84-4a72-a80e-535b211747cd",
   "metadata": {
    "tags": []
   },
   "source": [
    "# Morris Sensitivity Analysis Explainer Demo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "69f414e3-bc88-478b-bed5-890352b1041a",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import logging\n",
    "\n",
    "import datatable\n",
    "import daimojo\n",
    "\n",
    "from h2o_sonar import interpret\n",
    "from h2o_sonar.lib.api import commons\n",
    "from h2o_sonar.lib.api import explainers\n",
    "from h2o_sonar.explainers import morris_sa_explainer as explainer\n",
    "from h2o_sonar.lib.api.models import ModelApi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "bbe0ca51",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'id': 'h2o_sonar.explainers.morris_sa_explainer.MorrisSensitivityAnalysisExplainer',\n",
       " 'name': 'MorrisSensitivityAnalysisExplainer',\n",
       " 'description': 'Morris sensitivity analysis (SA) explainer provides Morris sensitivity analysis based feature importance which is a measure of the contribution of an input variable to the overall predictions of the model. In applied statistics, the Morris method for global sensitivity analysis is a so-called one-step-at-a-time method (OAT), meaning that in each run only one input parameter is given a new value. This explainer is based based on InterpretML library - see http://interpret.ml',\n",
       " 'model_types': ['iid'],\n",
       " 'can_explain': ['regression', 'binomial'],\n",
       " 'explanation_scopes': ['global_scope'],\n",
       " 'explanations': [{'explanation_type': 'global-feature-importance',\n",
       "   'name': 'GlobalFeatImpExplanation',\n",
       "   'category': None,\n",
       "   'scope': 'global',\n",
       "   'has_local': None,\n",
       "   'formats': []}],\n",
       " 'parameters': [],\n",
       " 'keywords': []}"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# explainer description\n",
    "interpret.describe_explainer(explainer.MorrisSensitivityAnalysisExplainer)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "90d401d2-14cd-4686-982f-3cac9e9f5eb7",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Interpretation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "15201d08-873b-45c3-82ad-052266f0526c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# dataset\n",
    "dataset_path = \"../../data/pd_ice_creditcard_train.csv\"\n",
    "target_col = \"LIMIT_BAL\"\n",
    "\n",
    "# model\n",
    "mojo_path = \"../../data/models/creditcard-regression.mojo\"\n",
    "mojo_model = daimojo.model(mojo_path)\n",
    "model = ModelApi().create_model(\n",
    "    model_src=mojo_model,\n",
    "    target_col=target_col,\n",
    "    used_features=list(mojo_model.feature_names),\n",
    ")\n",
    "\n",
    "# results\n",
    "results_location = \"./results\"\n",
    "os.makedirs(results_location, exist_ok=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "0ba8f0aa-2e0e-4a0a-93ab-77ce9e968fa0",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/dvorka/h/mli/git/h2o-sonar/.venv/lib/python3.8/site-packages/tqdm/auto.py:22: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
      "  from .autonotebook import tqdm as notebook_tqdm\n",
      "\"is\" with a literal. Did you mean \"==\"?\n",
      "\"is\" with a literal. Did you mean \"==\"?\n",
      "\"is\" with a literal. Did you mean \"==\"?\n",
      "\"is\" with a literal. Did you mean \"==\"?\n",
      "\"is not\" with a literal. Did you mean \"!=\"?\n",
      "\"is not\" with a literal. Did you mean \"!=\"?\n",
      "ExplainableDataset cleaner: label encoded ['SEX', 'EDUCATION', 'MARRIAGE'] columns\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "interpretation = interpret.run_interpretation(\n",
    "    dataset=dataset_path,\n",
    "    model=model,\n",
    "    target_col=target_col,\n",
    "    results_location=results_location,\n",
    "    explainers=[explainer.MorrisSensitivityAnalysisExplainer.explainer_id()],\n",
    "    log_level=logging.INFO,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ff9df4be-d4da-44db-a479-7d8d7f45c29d",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Explainer Result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "25556ca5-8239-4201-8a23-1ace2b3a46d4",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# retrieve the result\n",
    "result = interpretation.get_explainer_result(\n",
    "    explainer.MorrisSensitivityAnalysisExplainer.explainer_id()\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "490d132b-b7e2-48a2-8ec4-dbd71886edf9",
   "metadata": {
    "tags": []
   },
   "source": [
    "### Display Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "2aa6274e-79d5-49b1-b29a-2263db5cb8a8",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div class='datatable'>\n",
       "  <table class='frame'>\n",
       "  <thead>\n",
       "    <tr class='colnames'><td class='row_index'></td><th>feature</th><th>importance</th></tr>\n",
       "    <tr class='coltypes'><td class='row_index'></td><td class='str' title='str32'>&#x25AA;&#x25AA;&#x25AA;&#x25AA;</td><td class='float' title='float64'>&#x25AA;&#x25AA;&#x25AA;&#x25AA;&#x25AA;&#x25AA;&#x25AA;&#x25AA;</td></tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr><td class='row_index'>0</td><td>PAY_AMT2</td><td>576582</td></tr>\n",
       "    <tr><td class='row_index'>1</td><td>BILL_AMT1</td><td>483290</td></tr>\n",
       "    <tr><td class='row_index'>2</td><td>PAY_AMT6</td><td>315424</td></tr>\n",
       "    <tr><td class='row_index'>3</td><td>PAY_AMT1</td><td>262665</td></tr>\n",
       "    <tr><td class='row_index'>4</td><td>PAY_AMT3</td><td>250634</td></tr>\n",
       "    <tr><td class='row_index'>5</td><td>PAY_AMT5</td><td>229284</td></tr>\n",
       "    <tr><td class='row_index'>6</td><td>BILL_AMT3</td><td>227349</td></tr>\n",
       "    <tr><td class='row_index'>7</td><td>PAY_AMT4</td><td>226623</td></tr>\n",
       "    <tr><td class='row_index'>8</td><td>BILL_AMT4</td><td>216030</td></tr>\n",
       "    <tr><td class='row_index'>9</td><td>BILL_AMT5</td><td>144456</td></tr>\n",
       "    <tr><td class='row_index'>10</td><td>BILL_AMT6</td><td>140663</td></tr>\n",
       "    <tr><td class='row_index'>11</td><td>AGE</td><td>85984.4</td></tr>\n",
       "    <tr><td class='row_index'>12</td><td>PAY_3</td><td>70828</td></tr>\n",
       "    <tr><td class='row_index'>13</td><td>PAY_5</td><td>50576.5</td></tr>\n",
       "    <tr><td class='row_index'>14</td><td>PAY_2</td><td>36732.7</td></tr>\n",
       "    <tr><td class='row_index'>15</td><td>EDUCATION</td><td>28038.8</td></tr>\n",
       "    <tr><td class='row_index'>16</td><td>PAY_1</td><td>16456.3</td></tr>\n",
       "    <tr><td class='row_index'>17</td><td>MARRIAGE</td><td>15054.1</td></tr>\n",
       "    <tr><td class='row_index'>18</td><td>PAY_4</td><td>14673.7</td></tr>\n",
       "    <tr><td class='row_index'>19</td><td>PAY_6</td><td>13648.6</td></tr>\n",
       "    <tr><td class='row_index'>20</td><td>SEX</td><td>5494.11</td></tr>\n",
       "    <tr><td class='row_index'>21</td><td>BILL_AMT2</td><td>4649.55</td></tr>\n",
       "  </tbody>\n",
       "  </table>\n",
       "  <div class='footer'>\n",
       "    <div class='frame_dimensions'>22 rows &times; 2 columns</div>\n",
       "  </div>\n",
       "</div>\n"
      ],
      "text/plain": [
       "<Frame#7fe9a67c5a80 22x2>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result.data()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "df8a083b-3b88-4349-bb63-28551c24cc4f",
   "metadata": {},
   "source": [
    "### Plot Sensitivity Analysis Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "5a9d8262-574e-4073-a282-567d4fd1209c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "result.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a493b092-6236-419f-906c-16d52c47674f",
   "metadata": {},
   "source": [
    "### Save Explainer Log and Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "7c638a2c-6b01-4228-aa0f-93fd8dd7feab",
   "metadata": {},
   "outputs": [],
   "source": [
    "# save the explainer log\n",
    "log_file_path = \"./morris-sa-demo.log\"\n",
    "result.log(path=log_file_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "f5d91240-09ff-4893-b652-b0259a8f222a",
   "metadata": {},
   "outputs": [],
   "source": [
    "!cat $log_file_path"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "da4e2b28-96d7-440e-bfea-41cb694a52d4",
   "metadata": {},
   "outputs": [],
   "source": [
    "# save the explainer data\n",
    "result.zip(file_path=\"./morris-sa-demo-archive.zip\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "c0540819-f896-481a-b470-b9d53a243b0a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Archive:  morris-sa-demo-archive.zip\n",
      "  Length      Date    Time    Name\n",
      "---------  ---------- -----   ----\n",
      "     1544  2022-09-19 15:58   explainer_h2o_sonar_explainers_morris_sa_explainer_MorrisSensitivityAnalysisExplainer_508d6cc9-79af-4d42-be00-8db7cf404599/result_descriptor.json\n",
      "      110  2022-09-19 15:58   explainer_h2o_sonar_explainers_morris_sa_explainer_MorrisSensitivityAnalysisExplainer_508d6cc9-79af-4d42-be00-8db7cf404599/global_html_fragment/text_html.meta\n",
      "      367  2022-09-19 15:58   explainer_h2o_sonar_explainers_morris_sa_explainer_MorrisSensitivityAnalysisExplainer_508d6cc9-79af-4d42-be00-8db7cf404599/global_html_fragment/text_html/explanation.html\n",
      "    27825  2022-09-19 15:58   explainer_h2o_sonar_explainers_morris_sa_explainer_MorrisSensitivityAnalysisExplainer_508d6cc9-79af-4d42-be00-8db7cf404599/global_html_fragment/text_html/fi-class-0.png\n",
      "        0  2022-09-19 15:58   explainer_h2o_sonar_explainers_morris_sa_explainer_MorrisSensitivityAnalysisExplainer_508d6cc9-79af-4d42-be00-8db7cf404599/log/explainer_run_508d6cc9-79af-4d42-be00-8db7cf404599.log\n",
      "      185  2022-09-19 15:58   explainer_h2o_sonar_explainers_morris_sa_explainer_MorrisSensitivityAnalysisExplainer_508d6cc9-79af-4d42-be00-8db7cf404599/global_feature_importance/application_vnd_h2oai_json_datatable_jay.meta\n",
      "      143  2022-09-19 15:58   explainer_h2o_sonar_explainers_morris_sa_explainer_MorrisSensitivityAnalysisExplainer_508d6cc9-79af-4d42-be00-8db7cf404599/global_feature_importance/application_json.meta\n",
      "      669  2022-09-19 15:58   explainer_h2o_sonar_explainers_morris_sa_explainer_MorrisSensitivityAnalysisExplainer_508d6cc9-79af-4d42-be00-8db7cf404599/global_feature_importance/application_vnd_h2oai_json_datatable_jay/explanation.json\n",
      "      872  2022-09-19 15:58   explainer_h2o_sonar_explainers_morris_sa_explainer_MorrisSensitivityAnalysisExplainer_508d6cc9-79af-4d42-be00-8db7cf404599/global_feature_importance/application_vnd_h2oai_json_datatable_jay/feature_importance_class_0.jay\n",
      "      619  2022-09-19 15:58   explainer_h2o_sonar_explainers_morris_sa_explainer_MorrisSensitivityAnalysisExplainer_508d6cc9-79af-4d42-be00-8db7cf404599/global_feature_importance/application_json/explanation.json\n",
      "     1476  2022-09-19 15:58   explainer_h2o_sonar_explainers_morris_sa_explainer_MorrisSensitivityAnalysisExplainer_508d6cc9-79af-4d42-be00-8db7cf404599/global_feature_importance/application_json/feature_importance_class_0.json\n",
      "---------                     -------\n",
      "    33810                     11 files\n"
     ]
    }
   ],
   "source": [
    "!unzip -l morris-sa-demo-archive.zip"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "72ae2b2f-5817-4ccc-a7d0-3cbc70d3eaa5",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "h2o-sonar",
   "language": "python",
   "name": "h2o-sonar"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}