simulated_model.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import libs, functions, classes for calculation and type hinting.\n",
    "import gc\n",
    "from pathlib import Path\n",
    "from pickle import load\n",
    "\n",
    "from category_encoders import CountEncoder\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.colors as mc\n",
    "import numpy as np\n",
    "from numpy.typing import NDArray\n",
    "import optuna\n",
    "from pandas import DataFrame, Index, read_excel, Series\n",
    "import seaborn as sns\n",
    "import shap\n",
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.metrics import mean_squared_error\n",
    "from sklearn.model_selection import train_test_split\n",
    "import statsmodels.api as sm\n",
    "import statsmodels.formula.api as smf\n",
    "from statsmodels.genmod.generalized_linear_model import GLMResultsWrapper\n",
    "from statsmodels.stats.outliers_influence import variance_inflation_factor\n",
    "from xgboost import Booster, DMatrix, train\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\", category=FutureWarning)\n",
    "warnings.filterwarnings(\"ignore\", category=RuntimeWarning)\n",
    "warnings.filterwarnings(\"ignore\", category=UserWarning)\n",
    "\n",
    "optuna.logging.set_verbosity(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def read_eqa_data() -> DataFrame:\n",
    "    SUP_DATA_FILES: list[str] = ['./Extended Data 2.xlsx',\n",
    "                                 'Supplementary Table 1', 'Supplementary Table 2']\n",
    "    COLS: list[list[str]] = [['panel ID', 'recall', 'precision', 'RMSLE'],\n",
    "                             ['panel ID', 'Exonic Size', 'Gene Count', 'DNA shearing', 'UMI',\n",
    "                              'Reads Length', 'Sequencing Depth', 'Sequencing Platform',\n",
    "                              'Reference Genome', 'Callers', 'somatic VAF cut-off', 'TMB VAF cut-off',\n",
    "                              'Involved Variants', 'Filter Rules', 'Germline Strategy']]\n",
    "\n",
    "    # prepare the basic data.\n",
    "\n",
    "    panel_df: DataFrame = (read_excel(SUP_DATA_FILES[0], sheet_name=SUP_DATA_FILES[1],\n",
    "                                      skiprows=[0, 1], usecols='A,B,C,F',\n",
    "                                      index_col=None, header=None,\n",
    "                                      names=COLS[0])\n",
    "                           .merge(right=read_excel(SUP_DATA_FILES[0],\n",
    "                                                   sheet_name=SUP_DATA_FILES[2],\n",
    "                                                   skiprows=[0, 1], usecols='A:C,G:H,J:S',\n",
    "                                                   index_col=None, header=None,\n",
    "                                                   names=COLS[1]),\n",
    "                                  on='panel ID', how='left', validate='1:1')\n",
    "                           .reset_index(drop=True)\n",
    "                           )\n",
    "    return panel_df\n",
    "\n",
    "\n",
    "def load_list_from_pickle_file(pkf) -> list:\n",
    "    with open(pkf, 'rb') as _f:\n",
    "        _ls = load(_f)\n",
    "    return _ls\n",
    "\n",
    "\n",
    "def read_simulated_data() -> DataFrame:\n",
    "    SUP_DATA_FILES: list[str] = ['./Extended Data 2.xlsx',\n",
    "                                 'Supplementary Table 2']\n",
    "    sup_table2: DataFrame = read_excel(SUP_DATA_FILES[0], sheet_name=SUP_DATA_FILES[1],\n",
    "                                       skiprows=[0, 1], usecols='A,C',\n",
    "                                       index_col=None, header=None,\n",
    "                                       names=['panel ID', 'Gene Count'])\n",
    "    panel_gene_count: dict = dict(zip(sup_table2['panel ID'].values,\n",
    "                                      sup_table2['Gene Count'].values))\n",
    "\n",
    "    all_panel_results = []\n",
    "    RESULT_DIR: str = '/hot_warm_data/zhangyuanfeng/TMB_2/Article/Result/allin1/per_lab'\n",
    "    COLUMN_LIST: list[str] = ['panel ID', 'Method', 'Exonic Size', 'recall', 'precision',\n",
    "                              'Involved: Nonsense', 'Involved: Nonstop',\n",
    "                              'Involved: Synonymous', 'Involved: Slient',\n",
    "                              'Involved: Splice site', 'Involved: Translation Start Site',\n",
    "                              'Filter: Hotspot', 'TMB VAF cut-off', 'coef', 'intercept',\n",
    "                              'whfh', 'wlfl', 'whfl', 'wlfh', 'R2', 'RMSLE',\n",
    "                              'Concordance Correlation Coefficient', 'Discrete Accuracy']\n",
    "\n",
    "    for _pkl in [_f.as_posix() for _f in Path(RESULT_DIR).rglob('panel*.pkl')]:\n",
    "        with open(_pkl, 'rb') as _pkf:\n",
    "            all_panel_results.extend([_r for _r in load(_pkf) if _r])\n",
    "    pooled_df: DataFrame = DataFrame(all_panel_results,\n",
    "                                     columns=COLUMN_LIST)\n",
    "    pooled_df['Gene Count'] = pooled_df['panel ID'].map(panel_gene_count)\n",
    "\n",
    "    return pooled_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def pre_process_data(df: DataFrame, remove_prefix: bool) -> DataFrame:\n",
    "    columns_list: Index[str] = df.columns\n",
    "    to_drop_columns: list[str] = []\n",
    "\n",
    "    # Add method column\n",
    "    if remove_prefix:\n",
    "        df['Method'] = (df['panel ID'].str.replace('[abcdep]', '',\n",
    "                                                    regex=True)\n",
    "                        .astype('int'))\n",
    "    else:\n",
    "        df['Method'] = df['panel ID'].apply(lambda x: x[:-1] if x[-1] in ['a', 'b', 'c', 'd', 'e'] else x)\n",
    "\n",
    "    # Convert panel id column\n",
    "    # if 'panel ID' in columns_list:\n",
    "    #     df['panel ID'] = (df['panel ID'].str.replace('[abcdep]', '',\n",
    "    #                                                  regex=True)\n",
    "    #                       .astype('int'))\n",
    "\n",
    "    # Convert gene count to avoid multi-collinearity.\n",
    "    if 'Exonic Size' in columns_list and 'Gene Count' in columns_list:\n",
    "        df['Gene Count per Mb'] = df['Gene Count'] / df['Exonic Size']\n",
    "        to_drop_columns.append('Gene Count')\n",
    "\n",
    "    # Merge recall and precision.\n",
    "    if 'recall' in columns_list and 'precision' in columns_list:\n",
    "        df['rgbrp'] = abs(1 / df['recall'] - 1 / df['precision'])\n",
    "\n",
    "    # Convert DNA shearing column.\n",
    "    if 'DNA shearing' in columns_list:\n",
    "        _count_encoder = CountEncoder(cols='DNA shearing')\n",
    "        _count_encoder.fit(df['DNA shearing'])\n",
    "        _df_encoded: DataFrame = _count_encoder.transform(df['DNA shearing'])\n",
    "        df['DNA shearing'] = _df_encoded['DNA shearing']\n",
    "\n",
    "    # Convert the UMI column\n",
    "    if 'UMI' in columns_list:\n",
    "        df['UMI'] = df['UMI'].apply(lambda x: False if x == 'No' else True)\n",
    "\n",
    "    # Convert Reads Length column\n",
    "    if 'Reads Length' in columns_list:\n",
    "        df['Reads Length / 50'] = df['Reads Length'] / 50\n",
    "        to_drop_columns.append('Reads Length')\n",
    "\n",
    "    # Convert the Sequencing Depth column\n",
    "    if 'Sequencing Depth' in columns_list:\n",
    "        df['Sequencing Depth / 100'] = df['Sequencing Depth'] / 100\n",
    "        to_drop_columns.append('Sequencing Depth')\n",
    "\n",
    "    # Convert the Sequencing Platform column\n",
    "    # Use target coding as the one-hot-coding would bring severe multicollinearity.\n",
    "    if 'Sequencing Platform' in columns_list:\n",
    "        # _PLATFORM_POOLING_DICT: dict[str, str] = {\n",
    "        #     'Illumina NovaSeq 6000': 'Illumina NovaSeq 6000',\n",
    "        #     'MGISEQ-2000': 'MGISEQ-2000',\n",
    "        #     'Illumina NextSeq 500': 'Illumina NextSeq 500/550',\n",
    "        #     'Gene+Seq 2000': 'MGISEQ-2000',\n",
    "        #     'Illumina NextSeq 550Dx': 'Illumina NextSeq 500/550',\n",
    "        #     'Illumina NextSeq 550': 'Illumina NextSeq 500/550',\n",
    "        #     'MGI DNBSEQ-T7': 'MGI DNBSEQ-T7',\n",
    "        #     'MGI DNBSEQ-T7RS': 'MGI DNBSEQ-T7',\n",
    "        #     'Illumina NextSeq 2000': 'Illumina NextSeq 2000',\n",
    "        #     'Illumina NextSeq CN500': 'Illumina NextSeq 500/550',\n",
    "        #     'Illumina HiSeq X10': 'Illumina HiSeq X10',\n",
    "        #     'Genetron S2000': 'MGISEQ-2000',\n",
    "        #     'MGISEQ-2000RS': 'MGISEQ-2000'\n",
    "        # }\n",
    "        # df['Sequencing Platform'] = df['Sequencing Platform'].map(_PLATFORM_POOLING_DICT)\n",
    "        # df = get_dummies(data=df, columns=['Sequencing Platform'], prefix_sep=': ')\n",
    "        _target: str\n",
    "        if 'rgbrp' in df.columns:\n",
    "            _target = 'rgbrp'\n",
    "        else:\n",
    "            if 'RMSLE' in df.columns:\n",
    "                _target = 'RMSLE'\n",
    "            else:\n",
    "                raise ValueError('No target variable found!')\n",
    "        _avaliable_platforms = df['Sequencing Platform'].unique()\n",
    "        _target_coding_dict: dict = {}\n",
    "        _median_target: Series = (df[['Sequencing Platform', _target]]\n",
    "                          .groupby(by='Sequencing Platform')\n",
    "                          [_target]\n",
    "                          .median())\n",
    "        df['Sequencing Platform'] = df['Sequencing Platform'].map(lambda x: _median_target[x])\n",
    "\n",
    "    # Convert the Reference Genome column.\n",
    "    # One-hot coding would bring severe multicollinearity.\n",
    "    # Consider coding this column by the feature of the FASTA files.\n",
    "    # hs37d5 = b37 + decoy + fixed some bugs\n",
    "    # b37 = hg19 + fixed some bugs\n",
    "    # hg19 contains the old mit sequence. \n",
    "    # hg19 ≈ GRCh37.\n",
    "    # humanG1Kv37 ≈ b37.\n",
    "    if 'Reference Genome' in columns_list:\n",
    "        # _GENOME_POOLING_DICT: dict[str, str] = {\n",
    "        #     'hg19': 'hg19/GRCh37',\n",
    "        #     'GRCh37': 'hg19/GRCh37',\n",
    "        #     'hs37d5': 'hs37d5',\n",
    "        #     'b37': 'b37/humanG1Kv37',\n",
    "        #     'humanG1Kv37': 'b37/humanG1Kv37'\n",
    "        # }\n",
    "        _GENOME_POOLING_DICT: dict[str, int] = {\n",
    "            'hg19': 0,\n",
    "            'GRCh37': 0,\n",
    "            'hs37d5': 2,\n",
    "            'b37': 1,\n",
    "            'humanG1Kv37': 1\n",
    "        }\n",
    "        df['Reference Genome'] = df['Reference Genome'].map(_GENOME_POOLING_DICT)\n",
    "        # df = get_dummies(data=df, columns=['Reference Genome'], prefix_sep=': ')\n",
    "        \n",
    "\n",
    "    # Convert the Callers column.\n",
    "    \"\"\"\n",
    "    {\n",
    "        'Delly',\n",
    "        'Freebayes',\n",
    "        'GATK HaplotypeCaller',\n",
    "        'GATK Mutect2',\n",
    "        'Lofreq',\n",
    "        'Manta',\n",
    "        'Provided by Manufacturer',\n",
    "        'Samtools',\n",
    "        'TNscope',\n",
    "        'VarDict',\n",
    "        'VarScan2',\n",
    "        'VariDict',\n",
    "        'other',\n",
    "        'self-developed'}\n",
    "    \"\"\"\n",
    "    if 'Callers' in columns_list:\n",
    "        _CALLER_DICT: dict[str, str] = {\n",
    "            'Delly': 'Caller: Delly',\n",
    "            'Freebayes': 'Caller: Freebayes',\n",
    "            'GATK HaplotypeCaller': 'Caller: HaplotypeCaller',\n",
    "            'GATK Mutect2': 'Caller: Mutect2',\n",
    "            'Lofreq': 'Caller: Lofreq',\n",
    "            'Manta': 'Caller: Manta',\n",
    "            'Provided by Manufacturer': 'Caller: OEM',\n",
    "            'Samtools': 'Caller: Samtools',\n",
    "            'TNscope': 'Caller: TNscope',\n",
    "            'VarDict': 'Caller: VarDict',\n",
    "            'VarScan2': 'Caller: VarScan2',\n",
    "            'VariDict': 'Caller: VariDict',\n",
    "            'other': 'Caller: other',\n",
    "            'self-developed': 'Caller: in lab'}\n",
    "        for _c, _l in _CALLER_DICT.items():\n",
    "            df[_l] = df['Callers'].map(lambda x: _c in x)\n",
    "        to_drop_columns.append('Callers')\n",
    "\n",
    "    # Convert the VAF cut-off columns.\n",
    "    for _vaf_col in ['somatic VAF cut-off', 'TMB VAF cut-off']:\n",
    "        if _vaf_col in columns_list:\n",
    "            _VAF_DICT: dict[float, float] = {\n",
    "                .01: .0, .015: .5, 0.02: 1.0,\n",
    "                .025: 1.5, .03: 2.0, 0.05: 4.0, 0.1: 9.0}\n",
    "            df[_vaf_col] = df[_vaf_col].map(_VAF_DICT)\n",
    "\n",
    "    # Convert the Involved Variants column.\n",
    "    if 'Involved Variants' in columns_list:\n",
    "        _TYPE_DICT: dict[str, str] = {\n",
    "            'Other': 'Involved: Other',\n",
    "            'Missense': 'Involved: Missense',\n",
    "            'Nonstop': 'Involved: Nonstop',\n",
    "            'Indel': 'Involved: Indel',\n",
    "            'Splicing Site': 'Involved: Splicing Site',\n",
    "            'Synonymous': 'Involved: Synonymous',\n",
    "            'Nonsense': 'Involved: Nonsense'}\n",
    "        for _t, _l in _TYPE_DICT.items():\n",
    "            df[_l] = df['Involved Variants'].map(lambda x: _t in x)\n",
    "        to_drop_columns.append('Involved Variants')\n",
    "\n",
    "    # Convert the Filter Rules column\n",
    "    if 'Filter Rules' in columns_list:\n",
    "        _FILTER_DICT: dict[str, str] = {\n",
    "            'Other': 'Filter: Other',\n",
    "            'SNP': 'Filter: SNP',\n",
    "            'Driver': 'Filter: Driver',\n",
    "            'Known': 'Filter: Known',\n",
    "            'Hotspot': 'Filter: Hotspot'}\n",
    "        for _f, _l in _FILTER_DICT.items():\n",
    "            df[_l] = df['Filter Rules'].map(lambda x: _f in x)\n",
    "        to_drop_columns.append('Filter Rules')\n",
    "\n",
    "    # Convert the Germline Strategy column\n",
    "    if 'Germline Strategy' in columns_list:\n",
    "        _ST_DICT: dict[str, bool] = {\n",
    "            'tumor-normal': True, 'tumor-only': False\n",
    "        }\n",
    "        df['Germline Strategy'] = df['Germline Strategy'].map(_ST_DICT)\n",
    "\n",
    "    if to_drop_columns:\n",
    "        df = df.drop(columns=to_drop_columns).copy(deep=True)\n",
    "\n",
    "    return df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Simulated Analysis\n",
    "1. Load and preprocess.\n",
    "2. Check the collinearity among features\n",
    "3. Build models.\n",
    "   + Generalized Linear Model (statsmodels lib)\n",
    "   + XGBoost (xgboost lib)\n",
    "4. Explain the importance of techinical parameters as factors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "        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>rgbrp</th>\n",
       "      <th>Exonic Size</th>\n",
       "      <th>Gene Count per Mb</th>\n",
       "      <th>Involved: Nonsense</th>\n",
       "      <th>Involved: Nonstop</th>\n",
       "      <th>Involved: Synonymous</th>\n",
       "      <th>Involved: Slient</th>\n",
       "      <th>Involved: Splice site</th>\n",
       "      <th>Involved: Translation Start Site</th>\n",
       "      <th>Filter: Hotspot</th>\n",
       "      <th>TMB VAF cut-off</th>\n",
       "      <th>R2</th>\n",
       "      <th>RMSLE</th>\n",
       "      <th>Discrete Accuracy</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.547179</td>\n",
       "      <td>416.887768</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "      <td>True</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.938145</td>\n",
       "      <td>0.474624</td>\n",
       "      <td>0.945389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.547179</td>\n",
       "      <td>416.887768</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.938150</td>\n",
       "      <td>0.474578</td>\n",
       "      <td>0.945387</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.547179</td>\n",
       "      <td>416.887768</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.938268</td>\n",
       "      <td>0.474351</td>\n",
       "      <td>0.945394</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.547179</td>\n",
       "      <td>416.887768</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.939711</td>\n",
       "      <td>0.473670</td>\n",
       "      <td>0.941029</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.547179</td>\n",
       "      <td>416.887768</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.926548</td>\n",
       "      <td>0.440047</td>\n",
       "      <td>0.935549</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   rgbrp  Exonic Size  Gene Count per Mb  Involved: Nonsense  \\\n",
       "0    0.0     1.547179         416.887768                True   \n",
       "1    0.0     1.547179         416.887768                True   \n",
       "2    0.0     1.547179         416.887768                True   \n",
       "3    0.0     1.547179         416.887768                True   \n",
       "4    0.0     1.547179         416.887768                True   \n",
       "\n",
       "   Involved: Nonstop  Involved: Synonymous  Involved: Slient  \\\n",
       "0              False                 False             False   \n",
       "1              False                 False             False   \n",
       "2              False                 False             False   \n",
       "3              False                 False             False   \n",
       "4              False                 False             False   \n",
       "\n",
       "   Involved: Splice site  Involved: Translation Start Site  Filter: Hotspot  \\\n",
       "0                  False                             False             True   \n",
       "1                  False                             False             True   \n",
       "2                  False                             False             True   \n",
       "3                  False                             False             True   \n",
       "4                  False                             False             True   \n",
       "\n",
       "   TMB VAF cut-off        R2     RMSLE  Discrete Accuracy  \n",
       "0              0.0  0.938145  0.474624           0.945389  \n",
       "1              1.0  0.938150  0.474578           0.945387  \n",
       "2              2.0  0.938268  0.474351           0.945394  \n",
       "3              4.0  0.939711  0.473670           0.941029  \n",
       "4              9.0  0.926548  0.440047           0.935549  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# load and preprocess the simulated data\n",
    "simulated_data = (pre_process_data(df=read_simulated_data(), remove_prefix=True)\n",
    "                  [['rgbrp', 'Exonic Size', 'Gene Count per Mb',\n",
    "                   'Involved: Nonsense', 'Involved: Nonstop', 'Involved: Synonymous',\n",
    "                   'Involved: Slient', 'Involved: Splice site',\n",
    "                   'Involved: Translation Start Site', 'Filter: Hotspot',\n",
    "                   'TMB VAF cut-off', 'R2', 'RMSLE', 'Discrete Accuracy']])\n",
    "simulated_data.head(n=5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# # Check the relationship among features.\n",
    "# ### Draw the corrplot to see the 1:1 relationship.\n",
    "simulated_features: DataFrame = simulated_data.drop(columns=['R2', 'RMSLE', 'Discrete Accuracy'])\n",
    "simulated_corr: DataFrame = (simulated_features).corr()\n",
    "mask: NDArray = np.triu(np.ones_like(simulated_corr, dtype=bool))\n",
    "fig, ax = plt.subplots(figsize=(11, 9))\n",
    "sns.heatmap(simulated_corr, mask=mask,\n",
    "            cmap='vlag', annot=False, square=True,\n",
    "            linewidths=.5, cbar_kws={\"shrink\": .5})  # type: ignore\n",
    "plt.title('Corrplot of features of the simulated experiment.')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# ### Calculate the Variance Inflation Factor.\n",
    "_simulated_numeric: DataFrame = simulated_features.copy(deep=True)\n",
    "for _col in ['Involved: Nonsense', 'Involved: Nonstop', 'Involved: Synonymous',\n",
    "             'Involved: Slient', 'Involved: Splice site', 'Involved: Translation Start Site',\n",
    "             'Filter: Hotspot']:\n",
    "    _simulated_numeric[_col] = _simulated_numeric[_col].apply(lambda x: 1 if x else 0)\n",
    "simulated_vif_df = DataFrame()\n",
    "simulated_vif_df['Features'] = simulated_features.columns.to_list()\n",
    "simulated_vif_df['VIF'] = [variance_inflation_factor(_simulated_numeric.values, i) for i in range(_simulated_numeric.shape[1])]\n",
    "simulated_vif_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# # remove all variables that won't be used later to save memory.\n",
    "# del ax, fig, mask, simulated_corr, simulated_vif_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Build model\n",
    "## prepare dataset\n",
    "target_variables: list[str] = ['R2', 'RMSLE', 'Discrete Accuracy']\n",
    "fixed_effects_features: list[str] = [\n",
    "    'Exonic Size', 'Gene Count per Mb', 'rgbrp',\n",
    "    'TMB VAF cut-off', 'Involved: Nonsense', 'Involved: Nonstop',\n",
    "    'Involved: Synonymous', 'Involved: Slient', 'Involved: Splice site',\n",
    "    'Involved: Translation Start Site', 'Filter: Hotspot']\n",
    "fixed_effects: str = (\n",
    "    ' ~ Q(\"Exonic Size\") + Q(\"Gene Count per Mb\") + rgbrp + ' +\n",
    "    'Q(\"TMB VAF cut-off\") + Q(\"Involved: Nonsense\") + ' +\n",
    "    'Q(\"Involved: Nonstop\") + Q(\"Involved: Synonymous\") + ' +\n",
    "    'Q(\"Involved: Slient\") + Q(\"Involved: Splice site\") + ' +\n",
    "    'Q(\"Involved: Translation Start Site\") + Q(\"Filter: Hotspot\")')\n",
    "\n",
    "simulated_for_lr: DataFrame = simulated_data.copy(deep=True)\n",
    "for _col in ['Involved: Nonsense', 'Involved: Nonstop', 'Involved: Synonymous',\n",
    "             'Involved: Slient', 'Involved: Splice site', 'Involved: Translation Start Site',\n",
    "             'Filter: Hotspot']:\n",
    "    simulated_for_lr[_col] = simulated_for_lr[_col].apply(lambda x: 1 if x else 0)\n",
    "\n",
    "(r2_x_train,\n",
    " r2_x_test,\n",
    " r2_y_train,\n",
    " r2_y_test) = train_test_split(\n",
    "     simulated_for_lr[fixed_effects_features], simulated_for_lr['R2'],\n",
    "     test_size=0.2, random_state=41)\n",
    "(rmsle_x_train,\n",
    " rmsle_x_test,\n",
    " rmsle_y_train,\n",
    " rmsle_y_test) = train_test_split(\n",
    "     simulated_for_lr[fixed_effects_features], simulated_for_lr['RMSLE'],\n",
    "     test_size=0.2, random_state=41)\n",
    "(acc_x_train,\n",
    " acc_x_test,\n",
    " acc_y_train,\n",
    " acc_y_test) = train_test_split(\n",
    "     simulated_for_lr[fixed_effects_features], simulated_for_lr['Discrete Accuracy'],\n",
    "     test_size=0.2, random_state=41)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# ## smf.glm to see the summary\n",
    "# r2_glm: GLMResultsWrapper = (smf.glm(data=simulated_data[fixed_effects_features + ['R2']],\n",
    "#                                      formula=f'R2{fixed_effects}',\n",
    "#                                      family=sm.families.Gaussian())\n",
    "#                                 .fit())\n",
    "# rmsle_glm: GLMResultsWrapper = (smf.glm(data=simulated_data[fixed_effects_features + ['RMSLE']],\n",
    "#                                         formula=f'RMSLE{fixed_effects}',\n",
    "#                                         family=sm.families.Gaussian())\n",
    "#                                  .fit())\n",
    "# acc_glm: GLMResultsWrapper = (smf.glm(data=simulated_data[fixed_effects_features + ['Discrete Accuracy']],\n",
    "#                                             formula=f'Q(\"Discrete Accuracy\"){fixed_effects}',\n",
    "#                                             family=sm.families.Gaussian())\n",
    "#                                  .fit())\n",
    "\n",
    "# ## sklearn.LinearRegression for sklearn.inspection.permutation_importance and shap.LinearExplainer\n",
    "# r2_lr: LinearRegression = LinearRegression().fit(X=r2_x_train, y=r2_y_train)\n",
    "# rmsle_lr: LinearRegression = LinearRegression().fit(X=rmsle_x_train, y=rmsle_y_train)\n",
    "# acc_lr: LinearRegression = LinearRegression().fit(X=acc_x_train, y=acc_y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "## xgboost and tuning\n",
    "### prepare data, define tuning function and param_grid.\n",
    "param_grid: dict = {'max_depth': [1, 2, 3, 4, 5, 6],\n",
    "                    'learning_rate': [0.1, 0.2, 0.5, 0.6, 0.7, 0.8, 0.9],\n",
    "                    'n_estimators': [100, 200, 300, 400, 500, 600, 700, 800, 900, 1000],\n",
    "                    'gamma': [0.01, 0.1, 1, 10],\n",
    "                    'min_child_weight': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],\n",
    "                    'tree_method': ['gpu_hist'],\n",
    "                    'gpu_id': [0]}  # Use GPU accelerated algorithm\n",
    "\n",
    "def xgbt_trial_obj(trial: optuna.Trial, \n",
    "                   x_train_validate: DataFrame, y_train_validate: DataFrame,\n",
    "                   x_test: DataFrame, y_test: DataFrame):\n",
    "    params: dict = {'tree_method': 'gpu_hist', 'gpu_id': 0,\n",
    "                    'eta': trial.suggest_uniform(name='eta', low=0.1, high=0.9),\n",
    "                    'max_depth': trial.suggest_int(name='max_depth', low=4, high=7),\n",
    "                    'subsample': trial.suggest_float(name='subsample', low=0.5, high=1.0),\n",
    "                    'gamma': trial.suggest_loguniform(name='gamma', low=1e-2, high=10),\n",
    "                    'min_child_weight': trial.suggest_int(name='min_child_weight', low=1, high=10),\n",
    "                    'lambda': trial.suggest_float('lambda', 0.1, 1.0),\n",
    "                    'alpha': trial.suggest_float('alpha', 0.0, 10.0)}\n",
    "    (_x_train,\n",
    "     _x_validate,\n",
    "     _y_train,\n",
    "     _y_validate) = train_test_split(x_train_validate, y_train_validate,\n",
    "                                     test_size=0.2, random_state=41)\n",
    "    _d_train = DMatrix(_x_train, label=_y_train)\n",
    "    _d_validate = DMatrix(_x_validate, label=_y_validate)\n",
    "    _d_test = DMatrix(x_test, label=y_test)\n",
    "    _xgbt_model: Booster = train(params, _d_train,\n",
    "                                 evals=[(_d_validate, 'validation')],\n",
    "                                 num_boost_round=100000,\n",
    "                                 early_stopping_rounds=200,\n",
    "                                 callbacks=[optuna.integration\n",
    "                                                 .XGBoostPruningCallback(trial=trial,\n",
    "                                                                         observation_key='validation-rmse')])\n",
    "    _y_pred = _xgbt_model.predict(_d_test)\n",
    "    rmse = mean_squared_error(y_test, _y_pred, squared=False)\n",
    "    return rmse"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%capture\n",
    "### tuning for r2\n",
    "r2_study = optuna.create_study(direction='minimize')\n",
    "r2_study.optimize(func=lambda trial: xgbt_trial_obj(trial,  # type: ignore\n",
    "                                                    r2_x_train,\n",
    "                                                    r2_y_train,\n",
    "                                                    r2_x_test,\n",
    "                                                    r2_y_test),\n",
    "                  n_trials=1000,\n",
    "                  n_jobs=80,\n",
    "                  show_progress_bar=True)\n",
    "gc.collect()\n",
    "\n",
    "### tuning for rmsle\n",
    "rmsle_study = optuna.create_study(direction='minimize')\n",
    "rmsle_study.optimize(func=lambda trial: xgbt_trial_obj(trial,  # type: ignore\n",
    "                                                    rmsle_x_train,\n",
    "                                                    rmsle_y_train,\n",
    "                                                    rmsle_x_test,\n",
    "                                                    rmsle_y_test),\n",
    "                     n_trials=1000,\n",
    "                     n_jobs=80,\n",
    "                     show_progress_bar=True)\n",
    "gc.collect()\n",
    "\n",
    "### tuning for acc\n",
    "acc_study = optuna.create_study(direction='minimize')\n",
    "acc_study.optimize(func=lambda trial: xgbt_trial_obj(trial,  # type: ignore\n",
    "                                                    acc_x_train,\n",
    "                                                    acc_y_train,\n",
    "                                                    acc_x_test,\n",
    "                                                    acc_y_test),\n",
    "                   n_trials=1000,\n",
    "                   n_jobs=80,\n",
    "                   show_progress_bar=True)\n",
    "gc.collect()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "print('r2:')\n",
    "print(f'Best parameters: {r2_study.best_params}')\n",
    "print(f'Best RMSE: {r2_study.best_value}')\n",
    "print('=' * 50)\n",
    "print('rmsle:')\n",
    "print(f'Best rparameters: {rmsle_study.best_params}')\n",
    "print(f'Best RMSE: {rmsle_study.best_value}')\n",
    "print('=' * 50)\n",
    "print('acc:')\n",
    "print(f'Best rparameters: {acc_study.best_params}')\n",
    "print(f'Best RMSE: {acc_study.best_value}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "r2 xgbt: rmse on test part = 0.002944701114331954\n",
      "rmsle xgbt: rmse on test part = 0.04775540599070659\n",
      "acc xgbt: rmse on test part = 0.010544552330722197\n"
     ]
    }
   ],
   "source": [
    "## build xgboost model using best params.\n",
    "def best_xgbt_model(optimized_params: dict,\n",
    "                    x_train: DataFrame, y_train: DataFrame,\n",
    "                    x_test: DataFrame, y_test: DataFrame):\n",
    "    _xgbt: Booster = train(params=optimized_params,\n",
    "                           dtrain=DMatrix(x_train, label=y_train),\n",
    "                            num_boost_round=500,\n",
    "                            maximize=False)\n",
    "    rmse = mean_squared_error(y_true=y_test,\n",
    "                              y_pred=_xgbt.predict(data=DMatrix(x_test, label=y_test)),\n",
    "                              squared=False)\n",
    "\n",
    "    return  [_xgbt, rmse]\n",
    "\n",
    "\n",
    "### r2\n",
    "# r2_best_params: dict = {'eta': 0.147762689341973,\n",
    "#                         'max_depth': 7,\n",
    "#                         'subsample': 0.7622044189731699,\n",
    "#                         'gamma': 0.02686720238508999,\n",
    "#                         'min_child_weight': 6,\n",
    "#                         'lambda': 0.6764501257307061,\n",
    "#                         'alpha': 4.669735775297603}\n",
    "r2_xgbt, r2_rmse = best_xgbt_model(optimized_params=r2_study.best_params,  # type: ignore\n",
    "                                   x_train=r2_x_train, y_train=r2_y_train,\n",
    "                                   x_test=r2_x_test, y_test=r2_y_test)\n",
    "print(f'r2 xgbt: rmse on test part = {r2_rmse}')\n",
    "\n",
    "### rmsle\n",
    "# rmsle_best_params: dict = {'eta': 0.15393993372867165,\n",
    "#                            'max_depth': 7,\n",
    "#                            'subsample': 0.556731067978623,\n",
    "#                            'gamma': 0.012264167543377644,\n",
    "#                            'min_child_weight': 5, 'lambda': 0.31165034117635954,\n",
    "#                            'alpha': 9.805464573766203}\n",
    "rmsle_xgbt, rmsle_rmse = best_xgbt_model(optimized_params=rmsle_study.best_params,  # type: ignore\n",
    "                                         x_train=rmsle_x_train, y_train=rmsle_y_train,\n",
    "                                         x_test=rmsle_x_test, y_test=rmsle_y_test)\n",
    "print(f'rmsle xgbt: rmse on test part = {rmsle_rmse}')\n",
    "\n",
    "### acc\n",
    "# acc_best_params: dict = {'eta': 0.6219491492711096,\n",
    "#                          'max_depth': 7,\n",
    "#                          'subsample': 0.7919362670897964,\n",
    "#                          'gamma': 0.014260764079869967,\n",
    "#                          'min_child_weight': 10,\n",
    "#                          'lambda': 0.17000446240125744,\n",
    "#                          'alpha': 1.1390791357880616}\n",
    "acc_xgbt, acc_rmse = best_xgbt_model(optimized_params=acc_study.best_params,  # type: ignore\n",
    "                                     x_train=acc_x_train, y_train=acc_y_train,\n",
    "                                     x_test=acc_x_test, y_test=acc_y_test)\n",
    "print(f'acc xgbt: rmse on test part = {acc_rmse}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.3113022e-06"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Explain the importance of features (technical parameters)\n",
    "import shap\n",
    "\n",
    "## r2\n",
    "r2_xgbt.set_param({'predictor': 'gpu_predictor'})\n",
    "r2_dtest = DMatrix(r2_x_test, label=r2_y_test)\n",
    "r2_pred = r2_xgbt.predict(r2_dtest, output_margin=True)\n",
    "r2_exp = shap.TreeExplainer(r2_xgbt)\n",
    "r2_shap_obj = r2_exp(r2_dtest)\n",
    "r2_shap_interaction_values = r2_exp.shap_interaction_values(r2_x_test)\n",
    "r2_shap_values = r2_shap_obj.values\n",
    "np.abs(r2_shap_values.sum(axis=1) + r2_shap_obj.base_values - r2_pred).max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x590 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "shap.summary_plot(r2_shap_values,\n",
    "                  r2_x_test,\n",
    "                  cmap = mc.LinearSegmentedColormap.from_list(\"\",\n",
    "                                                              ['#5a8ac6',\n",
    "                                                               '#f8696b']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x650 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "shap.plots._waterfall.waterfall_legacy(r2_exp.expected_value,\n",
    "                                       r2_shap_values[0],\n",
    "                                       feature_names=r2_x_test.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 750x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "shap.dependence_plot(\"Exonic Size\", r2_shap_values, r2_x_test,\n",
    "                     interaction_index='Gene Count per Mb',\n",
    "                     cmap = mc.LinearSegmentedColormap.from_list(\"\",\n",
    "                                                                 ['#5a8ac6',\n",
    "                                                                  '#f8696b']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.66893e-06"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## rmsle\n",
    "rmsle_xgbt.set_param({'predictor': 'gpu_predictor'})\n",
    "rmsle_dtest = DMatrix(rmsle_x_test, label=rmsle_y_test)\n",
    "rmsle_pred = rmsle_xgbt.predict(rmsle_dtest, output_margin=True)\n",
    "rmsle_exp = shap.TreeExplainer(rmsle_xgbt)\n",
    "rmsle_shap_obj = rmsle_exp(rmsle_x_test)\n",
    "rmsle_shap_interaction_values = rmsle_exp.shap_interaction_values(rmsle_x_test)\n",
    "rmsle_shap_values = rmsle_shap_obj.values\n",
    "np.abs(rmsle_shap_values.sum(axis=1) + rmsle_shap_obj.base_values - rmsle_pred).max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x590 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "shap.summary_plot(rmsle_shap_values,\n",
    "                  rmsle_x_test,\n",
    "                  cmap = mc.LinearSegmentedColormap.from_list(\"\",\n",
    "                                                              ['#5a8ac6',\n",
    "                                                               '#f8696b']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x650 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "shap.plots._waterfall.waterfall_legacy(rmsle_exp.expected_value,\n",
    "                                       rmsle_shap_values[0],\n",
    "                                       feature_names=r2_x_test.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 750x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "shap.dependence_plot(\"Exonic Size\", rmsle_shap_values, rmsle_x_test,\n",
    "                     interaction_index='Gene Count per Mb',\n",
    "                     cmap = mc.LinearSegmentedColormap.from_list(\"\",\n",
    "                                                                 ['#5a8ac6',\n",
    "                                                                  '#f8696b']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2.9802322e-07"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## acc\n",
    "acc_xgbt.set_param({'predictor': 'gpu_predictor'})\n",
    "acc_dtest = DMatrix(acc_x_test, label=acc_y_test)\n",
    "acc_pred = acc_xgbt.predict(acc_dtest, output_margin=True)\n",
    "acc_exp = shap.TreeExplainer(acc_xgbt)\n",
    "acc_shap_obj = acc_exp(acc_dtest)\n",
    "acc_shap_interaction_values = acc_exp.shap_interaction_values(acc_x_test)\n",
    "acc_shap_values = acc_shap_obj.values\n",
    "np.abs(acc_shap_values.sum(axis=1) + acc_shap_obj.base_values - acc_pred).max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x590 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "shap.summary_plot(acc_shap_values,\n",
    "                  acc_x_test,\n",
    "                  cmap = mc.LinearSegmentedColormap.from_list(\"\",\n",
    "                                                              ['#5a8ac6',\n",
    "                                                               '#f8696b']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x650 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "shap.plots._waterfall.waterfall_legacy(acc_exp.expected_value,\n",
    "                                       acc_shap_values[0],\n",
    "                                       feature_names=acc_x_test.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 750x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "shap.dependence_plot(\"Exonic Size\", acc_shap_values, acc_x_test,\n",
    "                     interaction_index='Gene Count per Mb',\n",
    "                     cmap = mc.LinearSegmentedColormap.from_list(\"\",\n",
    "                                                                 ['#5a8ac6',\n",
    "                                                                  '#f8696b']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# save summary plots\n",
    "\n",
    "mpl.rcParams['font.family'] = 'Calibri'  # Set font family\n",
    "mpl.rcParams['font.size'] = 14  # Set font size\n",
    "mpl.rcParams['axes.titleweight'] = 'bold'  # Set title weight\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(6, 4))\n",
    "shap.summary_plot(r2_shap_values,\n",
    "                  r2_x_test,\n",
    "                  plot_size=(7, 5),\n",
    "                  show = False,\n",
    "                  cmap = mc.LinearSegmentedColormap.from_list(\"\",\n",
    "                                                              ['#5a8ac6',\n",
    "                                                               '#f8696b']))\n",
    "plt.savefig('./r2_shap.tiff', dpi=600)\n",
    "\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(6, 4))\n",
    "shap.summary_plot(rmsle_shap_values,\n",
    "                  rmsle_x_test,\n",
    "                  plot_size=(7, 5),\n",
    "                  show = False,\n",
    "                  cmap = mc.LinearSegmentedColormap.from_list(\"\",\n",
    "                                                              ['#5a8ac6',\n",
    "                                                               '#f8696b']))\n",
    "plt.savefig('./rmsle_shap.tiff', dpi=600)\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(6, 4))\n",
    "shap.summary_plot(acc_shap_values,\n",
    "                  acc_x_test,\n",
    "                  plot_size=(7, 5),\n",
    "                  show = False,\n",
    "                  cmap = mc.LinearSegmentedColormap.from_list(\"\",\n",
    "                                                              ['#5a8ac6',\n",
    "                                                               '#f8696b']))\n",
    "plt.savefig('./acc_shap.tiff', dpi=600)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "model",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
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