time_series.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#  Проект \"Прогнозирование заказов такси\"\n",
    "\n",
    "Предоставлены данные Яндекс Практикумом о заказах такси в аэропортах. Чтобы привлекать больше водителей в период пиковой нагрузки, нужно спрогнозировать количество заказов такси на следующий час. Постройте модель для такого предсказания. Целевая переменная (\"количество заказов\") находится в столбце `num_orders`.\n",
    "\n",
    "Размер тестовой выборки должен быть 0.1 от общей выборки.\n",
    "\n",
    "Значение метрики *RMSE* на тестовой выборке должно быть не больше 48.\n",
    "\n",
    "<a name='introduction'></a>\n",
    "<br>**План работы**:\n",
    "1. [Подготовка данных](#1.-Подготовка-данных):\n",
    "    - [Импортирование библиотек и файлов](#1.1-Импортирование-библиотек-и-файлов);\n",
    "    - [Предобработка данных](#1.-2.-Предобработка-данных);\n",
    "    - [Feature Engineering](#1.-3.-Feature-Engineering).\n",
    "2. [Анализ данных](#2.-Анализ-данных);\n",
    "3. [Обучение](#3.-Обучение):\n",
    "    - [Подготовка данных к обучению](#3.-1.-Подготовка-данных-к-обучению);\n",
    "    - [ML-модели](#3.-2.-ML-модели):\n",
    "        - [Дерево решений](#3.-2.-1.-Дерево-решений);\n",
    "        - [Случайный лес](#3.-2.-2.-Случайный-лес);\n",
    "        - [Линейная регрессия](#3.-2.-3.-Линейная-регрессия);\n",
    "        - [Ridge-регрессия](#3.-2.-4.-Ridge-регрессия);\n",
    "        - [Lasso-регрессия](#3.-2.-5.-Lasso-регрессия);\n",
    "        - [Нейронная сеть](#3.-2.-6.-Нейронная-сеть).\n",
    "4. [Тестирование](#4.-Тестирование)\n",
    "5. [Выводы](#5.-Выводы)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Подготовка данных\n",
    "[Введение](#introduction)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1. 1. Импортирование библиотек и файлов\n",
    "[Введение](#introduction)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\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>num_orders</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>datetime</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-03-01 00:00:00</th>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-01 00:10:00</th>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-01 00:20:00</th>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-01 00:30:00</th>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-01 00:40:00</th>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     num_orders\n",
       "datetime                       \n",
       "2018-03-01 00:00:00           9\n",
       "2018-03-01 00:10:00          14\n",
       "2018-03-01 00:20:00          28\n",
       "2018-03-01 00:30:00          20\n",
       "2018-03-01 00:40:00          32"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from math import ceil\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import random\n",
    "from statsmodels.tsa.seasonal import seasonal_decompose\n",
    "\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "from sklearn.linear_model import Lasso, LinearRegression, Ridge\n",
    "from sklearn.metrics import confusion_matrix, ConfusionMatrixDisplay, mean_squared_error\n",
    "from sklearn.model_selection import GridSearchCV, TimeSeriesSplit, train_test_split\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.tree import DecisionTreeRegressor\n",
    "\n",
    "import torch\n",
    "from torch import nn\n",
    "\n",
    "# Загрузка файла\n",
    "df_taxi = pd.read_csv('/datasets/taxi.csv', index_col=[0], parse_dates=[0])\n",
    "\n",
    "display(df_taxi.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Размер датасета: (4416, 1)\n"
     ]
    },
    {
     "data": {
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "\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>num_orders</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>datetime</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-03-01 00:00:00</th>\n",
       "      <td>124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-01 01:00:00</th>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-01 02:00:00</th>\n",
       "      <td>71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-01 03:00:00</th>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-01 04:00:00</th>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     num_orders\n",
       "datetime                       \n",
       "2018-03-01 00:00:00         124\n",
       "2018-03-01 01:00:00          85\n",
       "2018-03-01 02:00:00          71\n",
       "2018-03-01 03:00:00          66\n",
       "2018-03-01 04:00:00          43"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Смена типа столбца 'datetime', указание его в качестве индекса и ресемплирование по часу\n",
    "df_taxi = df_taxi.resample('1H').sum()\n",
    "\n",
    "print('Размер датасета:', df_taxi.shape)\n",
    "display(df_taxi.head())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1. 2. Предобработка данных\n",
    "[Введение](#introduction)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Количество пропущенных значений:\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "num_orders    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print('Количество пропущенных значений:')\n",
    "df_taxi.isna().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1. 3. Feature Engineering\n",
    "[Введение](#introduction)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "    }\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>num_orders</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>dayofweek</th>\n",
       "      <th>lag_1</th>\n",
       "      <th>lag_2</th>\n",
       "      <th>lag_3</th>\n",
       "      <th>lag_4</th>\n",
       "      <th>lag_5</th>\n",
       "      <th>lag_6</th>\n",
       "      <th>...</th>\n",
       "      <th>lag_15</th>\n",
       "      <th>lag_16</th>\n",
       "      <th>lag_17</th>\n",
       "      <th>lag_18</th>\n",
       "      <th>lag_19</th>\n",
       "      <th>lag_20</th>\n",
       "      <th>lag_21</th>\n",
       "      <th>lag_22</th>\n",
       "      <th>lag_23</th>\n",
       "      <th>rolling_mean_24</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>datetime</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-03-01 00:00:00</th>\n",
       "      <td>124</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-01 01:00:00</th>\n",
       "      <td>85</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>124.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-01 02:00:00</th>\n",
       "      <td>71</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>85.0</td>\n",
       "      <td>124.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-01 03:00:00</th>\n",
       "      <td>66</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>71.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>124.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-01 04:00:00</th>\n",
       "      <td>43</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>66.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>124.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 28 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     num_orders  month  day  dayofweek  lag_1  lag_2  lag_3  \\\n",
       "datetime                                                                      \n",
       "2018-03-01 00:00:00         124      3    1          3    NaN    NaN    NaN   \n",
       "2018-03-01 01:00:00          85      3    1          3  124.0    NaN    NaN   \n",
       "2018-03-01 02:00:00          71      3    1          3   85.0  124.0    NaN   \n",
       "2018-03-01 03:00:00          66      3    1          3   71.0   85.0  124.0   \n",
       "2018-03-01 04:00:00          43      3    1          3   66.0   71.0   85.0   \n",
       "\n",
       "                     lag_4  lag_5  lag_6  ...  lag_15  lag_16  lag_17  lag_18  \\\n",
       "datetime                                  ...                                   \n",
       "2018-03-01 00:00:00    NaN    NaN    NaN  ...     NaN     NaN     NaN     NaN   \n",
       "2018-03-01 01:00:00    NaN    NaN    NaN  ...     NaN     NaN     NaN     NaN   \n",
       "2018-03-01 02:00:00    NaN    NaN    NaN  ...     NaN     NaN     NaN     NaN   \n",
       "2018-03-01 03:00:00    NaN    NaN    NaN  ...     NaN     NaN     NaN     NaN   \n",
       "2018-03-01 04:00:00  124.0    NaN    NaN  ...     NaN     NaN     NaN     NaN   \n",
       "\n",
       "                     lag_19  lag_20  lag_21  lag_22  lag_23  rolling_mean_24  \n",
       "datetime                                                                      \n",
       "2018-03-01 00:00:00     NaN     NaN     NaN     NaN     NaN              NaN  \n",
       "2018-03-01 01:00:00     NaN     NaN     NaN     NaN     NaN              NaN  \n",
       "2018-03-01 02:00:00     NaN     NaN     NaN     NaN     NaN              NaN  \n",
       "2018-03-01 03:00:00     NaN     NaN     NaN     NaN     NaN              NaN  \n",
       "2018-03-01 04:00:00     NaN     NaN     NaN     NaN     NaN              NaN  \n",
       "\n",
       "[5 rows x 28 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Функция для создания дополнительных признаков\n",
    "def add_features(data_frame, lag_num, rolling_num):\n",
    "    # Календарные признаки\n",
    "    df = data_frame.copy()\n",
    "    df['month'] = df.index.month\n",
    "    df['day'] = df.index.day\n",
    "    df['dayofweek'] = df.index.dayofweek\n",
    "\n",
    "    # Отстающие значения\n",
    "    for lag in range(1, lag_num):\n",
    "        df['lag_{}'.format(lag)] = df['num_orders'].shift(lag)\n",
    "\n",
    "    # Скользящее среднее по определенному количеству значений \n",
    "    df[f'rolling_mean_{rolling_num}'] = df['num_orders'].shift().rolling(rolling_num).mean()\n",
    "    \n",
    "    return df\n",
    "\n",
    "# Создание дополнительных признаков для существующего датафрейма\n",
    "df_taxi = add_features(df_taxi, lag_num=24, rolling_num=24)\n",
    "display(df_taxi.head())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Анализ данных\n",
    "[Введение](#introduction)\n",
    "\n",
    "Посмотрим на графики функции"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "COLORS = ['green', 'blue', 'orange', 'c', 'm', 'purple']\n",
    "TITLE_FONT = 16\n",
    "LABEL_FONT = 14\n",
    "TICKS_FONT = 12"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Функция для создания графика функции\n",
    "def create_plot(df, col, col_label):\n",
    "    plt.figure(figsize=(15, 10))\n",
    "\n",
    "    plt.plot(\n",
    "        df.index,\n",
    "        df[col],\n",
    "        color=random.choice(COLORS)\n",
    "    )\n",
    "\n",
    "    plt.title('График первоначальной функции', fontsize=TITLE_FONT)\n",
    "    plt.xlabel('Дата', fontsize=LABEL_FONT)\n",
    "    plt.xticks(fontsize=TICKS_FONT)\n",
    "    plt.ylabel(col_label, fontsize=LABEL_FONT)\n",
    "    plt.yticks(fontsize=TICKS_FONT)\n",
    "    plt.grid(True)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Первоначальный график функции\n",
    "create_plot(df_taxi, col='num_orders', col_label=\"Количество заказов\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Волатильность колебаний довольно высока - значения могут варьироваться от почти 0 до около 450 в час. Однако наблюдается повышательный тренд и постепенное увеличение количества заказов с марта до сентября 2018 года."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pd.options.mode.chained_assignment = None\n",
    "\n",
    "# График со скользящим средним за сутки\n",
    "create_plot(df_taxi, col='rolling_mean_24', col_label='Скользящее среднее за сутки')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "На втором графике отчетливо наблюдается повышательная тенденция, демонстрирующая увеличение объема заказов за одни сутки. Данный показатель увеличился с около 50 в марте 2018-го года до более 160 к сентябрю 2018-го года."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Рассмотрим количество заказов за март\n",
    "df_taxi_march = df_taxi['2018.03.01':'2018.03.31']\n",
    "\n",
    "create_plot(df_taxi_march, 'num_orders', \"Количество заказов\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Можно заметить, что в рассмотренный период временной ряд довольно стационарен. Наблюдаются также довольно большие колебания значений: от едва более 0 до более чем 175."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Посмотрим далее на тренд и сезонность по имеющемуся набору данных.\n",
    "\n",
    "Для определения сезонности рассмотрим недельный интервал (с 1 по 8 марта)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1440 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Рассмотрим тренд на всем графике\n",
    "decomposed = seasonal_decompose(df_taxi['num_orders'])\n",
    "\n",
    "plt.figure(figsize=(15, 20))\n",
    "\n",
    "plt.subplot(311)\n",
    "decomposed.trend.plot(title='Тренд', ax=plt.gca())\n",
    "plt.grid(True)\n",
    "\n",
    "# Рассмотрим сезонность на недельном интервале\n",
    "week_df = df_taxi['2018.03.01':'2018.03.08']\n",
    "\n",
    "decomposed_week = seasonal_decompose(week_df['num_orders'])\n",
    "\n",
    "plt.subplot(312)\n",
    "decomposed_week.seasonal.plot(title='Сезонность', ax=plt.gca())\n",
    "plt.grid()\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Выводы**:\n",
    "\n",
    "Можно заметить, что наблюдается повышательный тренд на протяжении всего рассматриваемого периода (с марта по сентябрь 2018 года). Более того значение количества заказов увеличилось с около 50 в марте до примерно 170 к сентябрю 2018-го года - темп роста более, чем в три раза!\n",
    "\n",
    "Для определения сезонности взят интервал в одну неделю. Можно заметить, что в зависимости от часа сильно зависит и общее количество заказов. Тем не менее, важно отметить, что цикличность (а в случае временных рядов это сезонность) в данном случае составляет одни сутки."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Посмотрим, имеются ли полные дубликаты в датасете, от которых можно избавиться."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_taxi.duplicated().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "DatetimeIndex: 4416 entries, 2018-03-01 00:00:00 to 2018-08-31 23:00:00\n",
      "Freq: H\n",
      "Data columns (total 28 columns):\n",
      " #   Column           Non-Null Count  Dtype  \n",
      "---  ------           --------------  -----  \n",
      " 0   num_orders       4416 non-null   int64  \n",
      " 1   month            4416 non-null   int64  \n",
      " 2   day              4416 non-null   int64  \n",
      " 3   dayofweek        4416 non-null   int64  \n",
      " 4   lag_1            4415 non-null   float64\n",
      " 5   lag_2            4414 non-null   float64\n",
      " 6   lag_3            4413 non-null   float64\n",
      " 7   lag_4            4412 non-null   float64\n",
      " 8   lag_5            4411 non-null   float64\n",
      " 9   lag_6            4410 non-null   float64\n",
      " 10  lag_7            4409 non-null   float64\n",
      " 11  lag_8            4408 non-null   float64\n",
      " 12  lag_9            4407 non-null   float64\n",
      " 13  lag_10           4406 non-null   float64\n",
      " 14  lag_11           4405 non-null   float64\n",
      " 15  lag_12           4404 non-null   float64\n",
      " 16  lag_13           4403 non-null   float64\n",
      " 17  lag_14           4402 non-null   float64\n",
      " 18  lag_15           4401 non-null   float64\n",
      " 19  lag_16           4400 non-null   float64\n",
      " 20  lag_17           4399 non-null   float64\n",
      " 21  lag_18           4398 non-null   float64\n",
      " 22  lag_19           4397 non-null   float64\n",
      " 23  lag_20           4396 non-null   float64\n",
      " 24  lag_21           4395 non-null   float64\n",
      " 25  lag_22           4394 non-null   float64\n",
      " 26  lag_23           4393 non-null   float64\n",
      " 27  rolling_mean_24  4392 non-null   float64\n",
      "dtypes: float64(24), int64(4)\n",
      "memory usage: 1.1 MB\n"
     ]
    }
   ],
   "source": [
    "# Общая информация по получившемуся датафрейму\n",
    "df_taxi.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Обучение\n",
    "[Введение](#introduction)\n",
    "\n",
    "Разобьем данные на тренировочную и тестовую выборки. Далее избавимся от пропущенных значений и начнем осуществлять обучение моделей машинного обучения."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3. 1. Подготовка данных к обучению\n",
    "[Введение](#introduction)\n",
    "\n",
    "В подготоку данных к обучению включается:\n",
    "- Разделение выборок на тренировочную и тестовую;\n",
    "- Масштабирование количественных признаком (в даннмо случае - всех)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Разделение данных на тренировочную и тестовую выборки\n",
    "train, test = train_test_split(\n",
    "    df_taxi,\n",
    "    shuffle=False,\n",
    "    test_size=0.1\n",
    ")\n",
    "\n",
    "# Удаление пропущенных значений\n",
    "train = train.dropna()\n",
    "\n",
    "# Тренировочная выборка\n",
    "X_train = train.drop('num_orders', axis=1)\n",
    "y_train = train['num_orders']\n",
    "\n",
    "# Тестовая выборка\n",
    "X_test = test.drop('num_orders', axis=1)\n",
    "y_test = test['num_orders']\n",
    "\n",
    "# Масштабирование\n",
    "scaler = StandardScaler()\n",
    "scaler.fit(X_train)\n",
    "\n",
    "X_train = scaler.transform(X_train)\n",
    "X_test = scaler.transform(X_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3. 2. ML-модели\n",
    "[Введение](#introduction)\n",
    "\n",
    "Создание моделей машинного обучения для решения поставленной задачи - прогнозирования значения количества заказов - num_orders.\n",
    "\n",
    "<br>**ML-модели**:\n",
    "1. [Дерево решений](#3.-2.-1.-Дерево-решений);\n",
    "2. [Случайный лес](#3.-2.-2.-Случайный-лес);\n",
    "3. [Линейная регрессия](#3.-2.-3.-Линейная-регрессия);\n",
    "4. [Ridge-регрессия](#3.-2.-4.-Ridge-регрессия);\n",
    "5. [Lasso-регрессия](#3.-2.-5.-Lasso-регрессия);\n",
    "6. [Нейронная сеть](#3.-2.-6.-Нейронная-сеть)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Получение RMSE у лучшей модели\n",
    "def get_best_parameters(model):\n",
    "    ts = TimeSeriesSplit()\n",
    "    \n",
    "    # Перебор гиперпараметров\n",
    "    grid = GridSearchCV(model, param_grid, cv=ts, scoring='neg_root_mean_squared_error')\n",
    "    grid.fit(X_train, y_train)\n",
    "\n",
    "    print(grid.best_estimator_)\n",
    "\n",
    "    # Поскольку GridSearchCV работает на максимизацию метрики, то использовается инвентированное значение RMSE\n",
    "    print('RMSE:', round(grid.best_score_ * -1, 3))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 3. 2. 1. Дерево решений\n",
    "[Введение](#introduction)\n",
    "\n",
    "<br>Гиперпараметры для перебора:\n",
    "- max_depth:\n",
    "    - от 10 до 21. Шаг - 2.\n",
    "- max_features:\n",
    "    - None | log2 | sqrt."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "DecisionTreeRegressor(max_depth=10, random_state=42)\n",
      "RMSE: 32.493\n"
     ]
    }
   ],
   "source": [
    "tree = DecisionTreeRegressor(random_state=42)\n",
    "\n",
    "# Гиперпараметры для перебора\n",
    "param_grid = {\n",
    "    'max_depth': range(10, 21, 2), \n",
    "    'max_features': [None, 'log2', 'sqrt']\n",
    "}\n",
    "\n",
    "get_best_parameters(tree)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "*DecisionTreeRegressor(max_depth=10, random_state=42)*\n",
    "\n",
    "    RMSE: 35.4"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 3. 2. 2. Случайный лес\n",
    "[Введение](#introduction)\n",
    "\n",
    "<br>Гиперпараметры для перебора:\n",
    "- max_depth:\n",
    "    - от 10 до 21. Шаг - 2.\n",
    "- n_estimators:\n",
    "    - от 150 до 351. Шаг - 50."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\"\\n%%time\\n\\nforest = RandomForestRegressor(random_state=42)\\n\\n# Гиперпараметры для перебора\\nparam_grid = {\\n    'max_depth': range(10, 21, 2), \\n    'n_estimators': range(150, 351, 50)\\n}\\n\\nget_best_parameters(forest)\\n\""
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'''\n",
    "%%time\n",
    "\n",
    "forest = RandomForestRegressor(random_state=42)\n",
    "\n",
    "# Гиперпараметры для перебора\n",
    "param_grid = {\n",
    "    'max_depth': range(10, 21, 2), \n",
    "    'n_estimators': range(150, 351, 50)\n",
    "}\n",
    "\n",
    "get_best_parameters(forest)\n",
    "'''"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "*RandomForestRegressor(max_depth=12, n_estimators=350, random_state=42)*\n",
    "\n",
    "RMSE: 28.563\n",
    "\n",
    "CPU times: user 12min 25s, sys: 2.68 s, total: 12min 28s\n",
    "Wall time: 12min 30s"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 3. 2. 3. Линейная регрессия\n",
    "[Введение](#introduction)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LinearRegression()\n",
      "\tRMSE: 25.819\n"
     ]
    }
   ],
   "source": [
    "linear = LinearRegression()\n",
    "\n",
    "linear.fit(X_train, y_train)\n",
    "linear_pred_train = linear.predict(X_train)\n",
    "\n",
    "linear_train_rmse = np.sqrt(mean_squared_error(y_train, linear_pred_train))\n",
    "print(linear)\n",
    "print('\\tRMSE:', round(linear_train_rmse, 3))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 3. 2. 4. Ridge-регрессия\n",
    "[Введение](#introduction)\n",
    "\n",
    "<br>Гиперпараметры для перебора:\n",
    "- alpha:\n",
    "    - 0.01 | 0.1 | 1 | 10 | 20"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ridge(alpha=0.1, random_state=42)\n",
      "RMSE: 27.057\n"
     ]
    }
   ],
   "source": [
    "ridge = Ridge(random_state=42)\n",
    "\n",
    "param_grid = {\n",
    "    'alpha': [0.1, 1, 10, 20, 30, 40]\n",
    "}\n",
    "\n",
    "get_best_parameters(ridge)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 3. 2. 5. Lasso-регрессия\n",
    "[Введение](#introduction)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lasso(alpha=0.1, random_state=42)\n",
      "RMSE: 27.965\n"
     ]
    }
   ],
   "source": [
    "lasso = Lasso(random_state=42)\n",
    "\n",
    "param_grid = {\n",
    "    'alpha': [0.1, 1, 10, 20, 30, 40]\n",
    "}\n",
    "\n",
    "get_best_parameters(lasso)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 3. 2. 6. Нейронная сеть\n",
    "[Введение](#introduction)\n",
    "\n",
    "<br>Архитектура нейронной сети:\n",
    "- 4 слоя - 2 скрытых:\n",
    "    - Входной слой: количество нейронов - число независимых параметров по обучающей выборке;\n",
    "    - Скрытый слой №1: 10 нейронов;\n",
    "    - Скрытый слой №2: 5 нейронов;\n",
    "    - Выходной слой: 1 нейрон.\n",
    "- Функции активации - LeakyReLU (поскольку задача регрессии);\n",
    "- Количество эпох - 51;\n",
    "- Тестирование модели - каждые 10 эпохи;\n",
    "- Остановка модели, если значение RMSE меньше 48 (необходимо по заданию);\n",
    "- Инициализация весов по непрерывному равномерному распределению Кайминга;\n",
    "- Осуществление тренировки с помощью батчей;\n",
    "- Размер батча - 128;\n",
    "- Осуществление номрализации батчей с помощью BatchNorm1d;\n",
    "- Оптимизатор - Adam. Скорость обучения - 5e-3;\n",
    "- Функция потерь и метрика - RMSE.\n",
    "\n",
    "Работа с нейронной сетью:\n",
    "- Подготовка к работе нейронной сети - установление Random Seed, конвертация тренировочной и тестовой выборок в Tensor;\n",
    "- Создание нейройнной сети в соответствии с определенной ранее архитектурой;\n",
    "- Инициализация весов нейронной сети;\n",
    "- Тренировка нейройнной сети с использованием батчей."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Установка random seed\n",
    "torch.manual_seed(42)\n",
    "np.random.seed(42)\n",
    "\n",
    "X_train_torch = torch.FloatTensor(X_train)\n",
    "X_test_torch = torch.FloatTensor(X_test)\n",
    "y_train_torch = torch.FloatTensor(y_train.values)\n",
    "y_test_torch = torch.FloatTensor(y_test.values)\n",
    "\n",
    "# Число нейронов в каждом слое\n",
    "in_neurons = X_train.shape[1]\n",
    "hidden_neurons_1 = 10\n",
    "hidden_neurons_2 = 5\n",
    "out_neurons = 1\n",
    "\n",
    "# Нейронная сеть\n",
    "net = nn.Sequential(\n",
    "    nn.Linear(in_neurons, hidden_neurons_1),\n",
    "    nn.BatchNorm1d(hidden_neurons_1),\n",
    "    nn.LeakyReLU(),\n",
    "    nn.Linear(hidden_neurons_1, hidden_neurons_2),\n",
    "    nn.BatchNorm1d(hidden_neurons_2),\n",
    "    nn.LeakyReLU(),\n",
    "    nn.Linear(hidden_neurons_2, out_neurons),\n",
    "    nn.LeakyReLU()\n",
    ")\n",
    "\n",
    "# Оптимизатор и функция потерь\n",
    "optimizer = torch.optim.Adam(net.parameters(), lr=5e-3)\n",
    "loss = nn.MSELoss()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Sequential(\n",
       "  (0): Linear(in_features=27, out_features=10, bias=True)\n",
       "  (1): BatchNorm1d(10, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "  (2): LeakyReLU(negative_slope=0.01)\n",
       "  (3): Linear(in_features=10, out_features=5, bias=True)\n",
       "  (4): BatchNorm1d(5, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "  (5): LeakyReLU(negative_slope=0.01)\n",
       "  (6): Linear(in_features=5, out_features=1, bias=True)\n",
       "  (7): LeakyReLU(negative_slope=0.01)\n",
       ")"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Функция для инициализации весов нейросети\n",
    "def init_weights(layer):\n",
    "    if type(layer) == nn.Linear:\n",
    "        nn.init.kaiming_uniform_(\n",
    "            layer.weight,\n",
    "            mode='fan_in',\n",
    "            nonlinearity='leaky_relu'\n",
    "        )\n",
    "\n",
    "# Инициализация весов нейросети\n",
    "net.apply(init_weights)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RMSE на тренировочной выборке из 128 случайных объектов: 27.347 \n",
      "\n",
      "CPU times: user 9.05 s, sys: 0 ns, total: 9.05 s\n",
      "Wall time: 9.08 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "# Количество эпох, размер одного батча и их количество\n",
    "num_epochs = 51\n",
    "batch_size = 128\n",
    "num_batches = ceil(len(X_train_torch) / batch_size)\n",
    "\n",
    "# Обучение нейросети\n",
    "for epoch in range(num_epochs):\n",
    "    order = np.random.permutation(len(X_train_torch))\n",
    "    for batch_idx in range(num_batches):\n",
    "        start_idx = batch_idx * batch_size\n",
    "\n",
    "        optimizer.zero_grad()\n",
    "\n",
    "        batch_indexes = order[start_idx:start_idx + batch_size]\n",
    "        X_batch = X_train_torch[batch_indexes]\n",
    "        y_batch = y_train_torch[batch_indexes]\n",
    "\n",
    "        # Обучение нейросети\n",
    "        preds = net.forward(X_batch).flatten()\n",
    "\n",
    "        loss_value = torch.sqrt(loss(preds, y_batch))\n",
    "        loss_value.backward()\n",
    "\n",
    "        optimizer.step()\n",
    "\n",
    "\n",
    "print('RMSE на тренировочной выборке из 128 случайных объектов:', round(loss_value.item(), 3), '\\n')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. Тестирование\n",
    "[Введение](#introduction)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Получается, что наилучшее значение на тренировочной выборке продемонстрировала Нейронная сеть. Осуществим тестировани данной модели на тестовой выборке."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Нейронная сеть:\n",
      "Sequential(\n",
      "  (0): Linear(in_features=27, out_features=10, bias=True)\n",
      "  (1): BatchNorm1d(10, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "  (2): LeakyReLU(negative_slope=0.01)\n",
      "  (3): Linear(in_features=10, out_features=5, bias=True)\n",
      "  (4): BatchNorm1d(5, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
      "  (5): LeakyReLU(negative_slope=0.01)\n",
      "  (6): Linear(in_features=5, out_features=1, bias=True)\n",
      "  (7): LeakyReLU(negative_slope=0.01)\n",
      ")\n",
      "\tRMSE = 43.132\n"
     ]
    }
   ],
   "source": [
    "net.eval()\n",
    "net_test_preds = net.forward(X_test_torch).flatten()\n",
    "nn_rmse = round(torch.sqrt(loss(net_test_preds, y_test_torch)).item(), 3)\n",
    "\n",
    "print('Нейронная сеть:')\n",
    "print(net)\n",
    "print('\\tRMSE =', nn_rmse)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5. Выводы\n",
    "[Введение](#introduction)\n",
    "\n",
    "Согласно проведенному тестированию наилучшей моделью по метрике RMSE стала Нейронная сеть с параметрами по [ссылке](#3.-2.-6.-Нейронная-сеть). Значение RMSE составило 43.132, что удовлетворяет необходимому условию задачи: RMSE должно быть не более 48.\n",
    "\n",
    "Далее выведем график \"Факт-Прогноз\" по данному модели для первых 24 объектов (первых суток) тестовой выборки."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Создание графика \"Факт-Прогноз\" для 24-х первых объектов тестовой выборки\n",
    "plt.figure(figsize=(14, 8))\n",
    "\n",
    "plt.bar(range(0, 24), net_test_preds[0:24].detach().numpy(), color='orange', label='Прогноз')\n",
    "plt.bar(range(0, 24), y_test[0:24], width=0.5, color='blue', label='Факт')\n",
    "\n",
    "plt.title('График \"Факт-Прогноз\" для первых 24 объектов тестовой выборки', fontsize=16)\n",
    "plt.xlabel('Номер объекта тестовой выборки', fontsize=14)\n",
    "plt.xticks(range(0, 24), fontsize=12)\n",
    "plt.ylabel('Количество заказов', fontsize=14)\n",
    "plt.xticks(fontsize=12)\n",
    "plt.grid()\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Стоит отметить, что во многих случаях реальное значение количества заказов за час не сильно отличается от предсказанного моделью нейронной сети, но бывают и исключения.\n",
    "\n",
    "Далее также рассмотрим важность признаков."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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y8RaxaIXllMNPWaFtuvNsO14pMUvIsY2YJeTYRswScmwjZgk5thGzhBzbiFlCjm3E7CcecFb2qGemcsDCCLBOV9s6wB1jPSAi3kR17tuzMvPu0fbMPDMz78rMOzPzo8CtVMWhJEnSSm0qi7eLgdkRsXVH23ZA92AFACLilcC7gKdm5pIJYifVIAdJkqSV2pQVb5m5FPgOcGhEzImIXYHnAMd2bxsR+wIfAZ6WmZd2rds8InaNiAdHxBr1NCIbAme2vxeSJEnTa6on6X0D1blq1wPfAF6fmRdGxG4R0XkG/YeBDYDfdszl9oV63drAkcAtwFXAvwDPyMybpmwvJEmSpsmUzvOWmTcDz+3Rfjowt+P+luPEuBDYto38JEmSZjovjyVJklQQizdJkqSCWLxJkiQVxOJNkiSpIBZvkiRJBbF4kyRJKojFmyRJUkEs3iRJkgpi8SZJklQQizdJkqSCWLxJkiQVpNG1TSPiwPHWZ+anhpOOJEmSxtP0wvSHA3cC1wPRtS4BizdJkqQp0PSw6WHAfcCPgSdl5pYdy1btpSdJkqROjYq3zHw/8BjgQcCfIuK9EbF6q5lJkiRpBY0HLGTm1Zn5CmBBvVwSES9tKS9JkiT10HTAwo5dTe8Eng18LiLekpnzh56ZJEmSVtB0wMJZVAMTRgcrdN7efsg5SZIkaQxNi7ctW81CkiRJjTQt3h4B/CIz720zGUmSJI2v6YCFRcD6bSYiSZKkiTUt3ron5pUkSdI0aHrYFGCziFij14rMvHJI+UiSJGkc/RRvv+3RFlQjT2cNJx1JkiSNp5/i7YnADW0lIkmSpIk1Ld4SuDIzr28zGUmSJI3PAQuSJEkFaVq8bYmHTCVJkqZd0+JtL2Df7saIeElEvGG4KUmSJGksTYu3twJ/7dF+OfC2YSUjSZKk8TUt3jYDrujRvqReJ0mSpCnQtHi7Fti+R/uOwI1Dy0aSJEnjajpVyNeB/xcRS4HFddtC4DPA14afliRJknppWrwdTDXi9IfAsrptNeB44P0t5CVJkqQeGhVvmfl34MUR8QEeOHz6u8z8c1uJSZIkaUX9XB6LzPxzRFxT3cylLeUkSZKkMTQdsEBEvDEirgRuA26PiCuc402SJGlqNep5i4j3AO8GDgfOqJt3Az4WEetk5sdayk+SJEkdmh42fR2wf2Z+o6PtJxHxZ+AjgMWbJEnSFGh62HQj4Lc92n8DzBteOpIkSRpP0+LtYmCfHu37AH8aXjqSJEkaT9PDpocA34qI3YEz67ZdgT2AF7aQlyRJknpo1POWmd8Bnkh1maxn18u1wM6Z+X+tZSdJkqTlNJ7nLTPPBl7SYi6SJEmaQNOpQtYfb31m3jycdCRJkjSepj1vN4zRHkACs4aTjiRJksbTdLTpUuBq4IPAUzqWhfXPRiJi/Yg4MSKW1ldo6DWClYh4R0RcEBF3RMRlEfGOrvVbRMSiiLgzIv4YEXs2zUGSJKlkTXveHkY1LchrgRcBRwFfzsxb+ny+I4B7qOaG2x74XkScl5kXdm0XwEuB3wOPBE6LiL9m5nH1+m8AvwSeWS/fjoitM3OsHkJJkqSVQtPRpksz878zcydgP+BxwMUR8aKmTxQRc4DnA+/PzJHMPAM4uY7X/Xz/mZnnZOa9mfkn4CSqqUmIiEcBOwIHZ+ZdmXkCcH4dW5IkaaXW+ML0HTai6jlL4M4+Hvco4N7MvLij7Txgm/EeFBFBdR3V0d65bYBLM/OOfuJIkiStDCIzJ94oYmPgVcCrgauALwLHZ+bfGj9RxG71YzbuaHsNsG9mLhjncR8Enks1p9zdEbEf8MbMfFLHNocBm2bmy3s8fn9gf4B58+bNP+6447o3WcHIyAhz585tuGfNDDvmZOONnD2yQtuyzZYxa8nyY0/mzp9czjNtv0uNWUKObcQsIcc2YpaQYxsxS8ixjZgl5NhGzBJybCNmP/EWLlx4dn3Uc3mZOeFCdZ7alcDBwPO6l4YxdgDu7Gp7O3DKOI95E3AZsFlH297AH7q2+yzw2YlymD9/fjaxaNGiRtv1Y9gxJxtvEYtWWE45/JQV2qY7z7bjlRKzhBzbiFlCjm3ELCHHNmKWkGMbMUvIsY2YJeTYRsx+4gFnZY96pumAhdnAZnXxtkL9R7OpQi4GZtcDC/5ct23HA4dDlxMRrwTeBeyemUs6Vl0IbBURa+cDh063A77eIAdJkqSiNR2wsNo4S6M53jJzKfAd4NCImBMRuwLPAY7t3jYi9gU+AjwtMy/tinMx8Dvg4IhYIyL2BrYFTmiShyRJUskGGbAwGW8A1gSup5ru4/WZeWFE7BYRnSdhfRjYAPhtRIzUyxc61r8I2Am4BfgY8IJ0mhBJkrQKaHp5rAPHW5+Zn2oSJ6vLaD23R/vpwNyO+1tOEOdyYEGT55QkSVqZND3n7XCqaUGup5pAt1MCjYo3SZIkTU7Tw6aHAfcBPwaelJlbdixbtZeeJEmSOjUdsPB+4DHAg4A/RcR7I2L1VjOTJEnSChoPWMjMqzPzFVTnmi0ALomIl7aUlyRJknpoOmBhx66mdwLPBj4XEW/JzPlDz0ySJEkraDpg4SyqgQmjgxU6b28/5JwkSZI0hqbF27hTd0iSJGlqNCreMvOKthORJEnSxJqe8zbuwITM/Mpw0pEkSdJ4mh42PaLr/lrAXVTnviVg8SZJkjQFmh42XbvzfkTcAWzXfdF4SZIktWvQC9PnULOQJElSI30XbxHxSGAOcPvw05EkSdJ4mg5YOLm+uSawM/DjzLyxtawkSZLUU9MBCzfVP+8CTgSObicdSZIkjafpgIVXtJ2IJEmSJta05+1+EbEx8ODOtsy8cmgZSZIkaUxNz3l7CPD/gH+jq3CrzRpmUpIkSeqt6WjTw4HtgOcCfwP2Ad4BLAH+vZXMJEmStIKmh02fAbw4M0+PiGXA2Zn5zYi4Bngt8O3WMpQkSdL9mva8rQuMXpz+NmCD+vYvgV2GnJMkSZLG0LR4+wuwVX37IuBFERHA84Cb20hMkiRJK2pavB0DbFvf/hjVodJ7gE8AHx9+WpIkSeql6Txvn+64/dOIeAywE/DnzDy/reQkSZK0vL7neYP753VzbjdJkqQp1nSetw+Mtz4zDx1OOpIkSRpP0563F3bcfgxwKdU5bwAJWLxJkiRNgabnvP3j6O2IuAN4RmZe2lpWkiRJ6qnpaFNJkiTNABZvkiRJBWk6YGHHzrvANhGx7mhDZp4z5LwkSZLUQ9MBC2dRDUyI+v5JHesSmDXMpCRJktRb0+Jty1azkCRJUiNNR5teMfFWkiRJalvjAQsR8ZKIeFlUnhMRJ0XEwRHhIVNJkqQp0nTAwseA/YE7gfnAXsCJwOuA1YH3tJWgJEmSHtD0nLd9gRcDFwOXAM/LzJMi4ufAJ7F4kyRJmhJNi7eNgAszc0lE/A34Q91+DrBJK5lJkiRpBU3PebsR2LC+/WHghvr22sBtw05KkiRJvTXtefsasB5AZn60o30BcO6Qc5IkSdIYmk4V8h9jtB8BHDHUjCRJkjQmr20qSZJUEIs3SZKkgli8SZIkFcTiTZIkqSAWb5IkSQXpu3iLiAdHxAcj4uSIOCwi1mwjMUmSJK1okJ63T1Bd0/RGqstm/VfTB0bE+hFxYkQsjYgrImKfMbZbGBGLIuK2iLi8x/rLI+KuiBipl9MG2A9JkqTiNJ2kt9OzgJdn5vcjYjvgB3089gjgHmAesD3wvYg4LzMv7NpuKXA08A3Gvm7qXpn5474ylyRJKtwgPW8bUV2gHuBPwEObPCgi5gDPB96fmSOZeQZwMrBf97aZ+ZvMPBa4dID8JEmSVlqRmf09IOJ2YLvMvCwiVgfuzMxZDR63A3BmZq7V0XYQsEdm7jXGY/YEvpSZW3S1Xw6sSVV8ngu8IzPPGyPG/sD+APPmzZt/3HHHTbiPIyMjzJ07d8Lt+jHsmJONN3L2yAptyzZbxqwly/8q586fXM4zbb9LjVlCjm3ELCHHNmKWkGMbMUvIsY2YJeTYRswScmwjZj/xFi5ceHZm7rTCisyccAHuAG6vl/u67i9rGGM34NquttcAi8d5zJ7A5T3ad6Uq3tYC3g1cC6w7UQ7z58/PJhYtWtRou34MO+Zk4y1i0QrLKYefskLbdOfZdrxSYpaQYxsxS8ixjZgl5NhGzBJybCNmCTm2EbOEHNuI2U884KzsUc80PeftAKC/LroVjQDrdLWtQ1UI9iUzz+y4+9GIeBlVcXjK4OlJkiTNfE0vTH/MEJ7rYmB2RGydmX+u27YDugcrDCKBGEIcSZKkGa1R8RYRm4+3PjOvnChGZi6NiO8Ah0bEq6lGmz4H2KXH860GPBh4UHU31gDuy8x76lweDvyW6py3A4ANgTO740iSJK1smh42vZzeh02jbp9wwELtDVRTgFwP3AS8PjMvjIjdgO9n5ugZfLsDizoedxfwM2ABsDZwJPBI4G/A74BnZOZNDXOQJEkqVtPi7Qn1z6AqovYBlvT7ZJl5M/DcHu2nA3M77i9mjMOgWc0Jt22/zy1JkrQyaHrO29mjtyPiPuD8zHQONkmSpCnmheklSZIKMmjxNtlpQyRJkjSApqNNz+eBgm1N4PsRcc/o+sz0HDRJkqQp0HTAwrc7bp/QRiKSJEmaWNMBCx9sOxFJkiRNrPE5bxGxRkS8ICLeGRHr1m2PjIj1W8tOkiRJy2l6zts/AD+mmottXeB44Fbg9fX9V7eSnSRJkpbTtOftM8BpwDyqqx2MOhlYOOScJEmSNIamAxZ2AZ6UmcsilrvwwZXAJkPPSpIkST31M8/bg3q0bQ7cNqRcJEmSNIGmxdtpwIEd9zMi1gE+CHxv6FlJkiSpp6aHTQ8EFkXEn4A1gG8C/wBcB/xbS7lJkiSpS9N53q6OiO2BFwM7UvXYHQV8LTPvGu+xkiRJGp6mPW/URdrR9SJJkqRp0HSet5eOtz4zvzKcdCRJkjSepj1vxwB38sDF6TslYPEmSZI0BRofNgW2yszrW8tEkiRJE+pnnjdJkiRNM4s3SZKkgjQ9bJrAehFxb8+VmTcPLyVJkqSptTgW92wfOXyExQuXX7cgF7Sez3iaFm8B/GGM9gRmDS0jSZIkjalp8baw1SwkSZLUSNMrLPys7UQkSZI0scYDFiLiHyPicxHx/Yh4WN323IjYob30JEmS1KlR8RYRTwd+C2wKPAVYs171SODgdlKTJElSt6Y9bx8CDszMvYF7OtoXAzsPOylJkiT11rR4ezxwao/2m4H1h5eOJEmSxtO0eLuZ6pBptx2BJcNLR5IkSeNpWrx9HfhERGxGNa/b7IjYAzgcL0ovSZI0ZZoWb+8DLgOuAOZSTdj7U+AM4LB2UpMkSVK3pvO8/R3YNyLeT3WodDXg3Mz8c5vJSZIkaXmNireI+ABweGZeClzabkqSJEkaS9PDpgdTHS6VJEnSNGpavEWrWUiSJKmRphemB/i3iLi914rMdMSpJEnSFOinePsPYFmP9sTpQiRJkqZEP8XbTpl5fWuZSJIkaUJNz3mTJEnSDNC0eLuC3odMJUmSNIWaTtK7ZduJSJIkaWLj9rxFxDMi4vKIWKfHuofU657WXnqSJEnqNNFh0zcBn8jMFaYIyczbgI8Db20hL0mSJPUwUfG2LfDjcdb/FNhueOlIkiRpPBMVbw8F7htnfQIbDC8dSZIkjWei4m0JVe/bWLYFrhpeOpIkSRrPRMXb94APRcSa3SsiYi3g0HqbRiJi/Yg4MSKWRsQVEbHPGNstjIhFEXFbRFzeY/0W9fo7I+KPEbFn0xwkSZJKNlHxdhjwEODiiHhnRDynXt4FXFyv+0gfz3cEcA8wD9gXODIitumx3VLgaOAdY8T5BnAu1SHb9wLfjoiH9pGHJElSkcYt3urLYe0CnE9VpJ1YL4cBvwf+KTOva/JEETEHeD7w/swcycwzgJOB/Xo8728y81jg0h5xHgXsCBycmXdl5gl1fs9vkockSVLJIjObbRixHvAPQAB/zsxb+nqiiB2AMzNzrY62g4A9MnOvMR6zJ/ClzNyio21v4COZ+diOts8BmZkH9IixP7A/wLx58+Yfd9xxE+Y6MjLC3Llzm+5aI8OOOdl4I2ePrNC2bLNlzFoya7m2ufMnl/NM2+9SY5aQYxsxS8ixjZgl5NhGzBJybCNmCTm2EXOm5djrcxGG/9nYT44LFy48OzN3WmFFZk7JAuwGXNvV9hpg8TiP2RO4vKttP+BXXW2HAcdMlMP8+fOziUWLFjXarh/DjjnZeItYtMJyyuGnrNA23Xm2Ha+UmCXk2EbMEnJsI2YJObYRs4Qc24hZQo5txJxpOfb6XGzjs7GfHIGzskc9M5UXph8Buq/UsA5wxzTFkSRJKs5UFm8XA7MjYuuOtu2AC/uMcyGwVUSsPck4kiRJxZmy4i0zlwLfAQ6NiDkRsSvwHODY7m0jYrWIWAN4UHU31oiIB9dxLgZ+Bxxct+9NNd/cCVO0K5IkSdNmKnveAN4ArAlcTzXdx+sz88KI2C0iOs8U3B24CzgV2Ly+fVrH+hcBOwG3AB8DXpCZN0xB/pIkSdNq9lQ+WWbeDDy3R/vpwNyO+4upRrWOFedyYMGw85MkSZrpprrnTZIkSZNg8SZJklQQizdJkqSCWLxJkiQVxOJNkiSpIBZvkiRJBbF4kyRJKojFmyRJUkEs3iRJkgpi8SZJklQQizdJkqSCWLxJkiQVxOJNkiSpIBZvkiRJBbF4kyRJKojFmyRJUkEs3iRJkgpi8SZJklQQizdJkqSCWLxJkiQVxOJNkiSpIBZvkiRJBbF4kyRJKojFmyRJUkEs3iRJkgpi8SZJklQQizdJkqSCWLxJkiQVxOJNkiSpIBZvkiRJBbF4kyRJKojFmyRJUkEs3iRJkgpi8SZJklQQizdJkqSCWLxJkiQVxOJNkiSpILOnOwFJkqSV0eJYvELbyOEjLF64fPuCXNBXXHveJEmSCmLxJkmSVBCLN0mSpIJYvEmSJBXE4k2SJKkgFm+SJEkFsXiTJEkqiMWbJElSQaa0eIuI9SPixIhYGhFXRMQ+Y2wXEfHxiLipXj4eEdGxPusYI/XypanbC0mSpOkz1VdYOAK4B5gHbA98LyLOy8wLu7bbH3gusB2QwI+Ay4AvdGyzXWZe0nbCkiRJM8mU9bxFxBzg+cD7M3MkM88ATgb267H5y4BPZuaSzLwK+CTw8qnKVZIkaaaaysOmjwLuzcyLO9rOA7bpse029brxtvt5RFwbEd+JiC2GmqkkSdIMFZk5NU8UsRtwfGZu3NH2GmDfzOWvyBoRy4BtMvOP9f2tgYuB1TIzI2J34FfAWsCHgQXA9pl5b4/n3Z/qMCzz5s2bf9xxx02Y68jICHPnzh1kN6cs5mTjjZw9skLbss2WMWvJrOXa5s6fXM4zbb9LjVlCjm3ELCHHNmKWkGMbMUvIsY2YJeTYRsyZlmOvz0WY3GfjZD9rFy5ceHZm7tTdPpXnvI0A63S1rQPc0WDbdYCRrCvNzPx53X5PRLwFuB14LHB+d6DMPAo4CmCnnXbKBQsWTJjo4sWLabJdP4Ydc7LxFi9cvELbyOEjzD1o+T+gBcvX1f0/zwzb71JjlpBjGzFLyLGNmCXk2EbMEnJsI2YJObYRc6bl2OtzESb32djWZ+1UHja9GJhd96KN2g7oHqxA3bZdg+1GJRDjrJckSVopTFnxlplLge8Ah0bEnIjYFXgOcGyPzb8CHBgRm0bEJsDbgWMAImKbiNg+ImZFxFyqwQxXARdNxX5IkiRNp6mepPcNwJrA9cA3gNdn5oURsVtEdB4Y/iJwCtVh0AuA79VtUE0z8k2qQ6WXAlsAz87Mv0/JHkiSJE2jKZ3nLTNvppq/rbv9dGBux/0E/qNeurf9KfDo9rKUJEmauaZ6kl5JkoqwOBb3bB85fGSFE9EnO7hL6ofXNpUkSSqIxZskSVJBPGwqrQJ6Hf7x0I8klcmeN0mSpIJYvEmSJBXE4k2SJKkgFm+SJEkFccCChsL5kCRJmhr2vEmSJBXE4k2SJKkgFm+SJEkFsXiTJEkqiMWbJElSQSzeJEmSCmLxJkmSVBDneZMkaYr0mhPT+TDVL3veJEmSCmLxJkmSVBCLN0mSpIJYvEmSJBXE4k2SJKkgjjaVJKlgjmBd9djzJkmSVBB73iRpGtlrIqlf9rxJkiQVxJ43zVj2SEjqh/8ztKqw502SJKkg9rxJM0wJvQe9coSZl6ckrYxW+eKthA9KzVwWMZKkqbbKF2+StLLxS6lmGv8mh8viTdJKyw8MSSsjizetUvww12R4mFyrAv/OZz6LN0mSVJxV+cu4xZukGWFV/kcsSf2weJMkjauNw2gW69LgnKRXkiSpIBZvkiRJBbF4kyRJKojFmyRJUkEs3iRJkgpi8SZJklQQpwoZMmemliRJbbJ4K4DzIUmSpFEeNpUkSSqIxZskSVJBLN4kSZIKMqXFW0SsHxEnRsTSiLgiIvYZY7uIiI9HxE318vGIiI7120fE2RFxZ/1z+ynbCUmSpGk01T1vRwD3APOAfYEjI2KbHtvtDzwX2A7YFtgLeC1ARDwYOAn4KrAe8GXgpLpdkiRppTZlxVtEzAGeD7w/M0cy8wzgZGC/Hpu/DPhkZi7JzKuATwIvr9ctoBol+5nMvDsz/x8QwFNa3gVJkqRpF5k5NU8UsQNwZmau1dF2ELBHZu7Vte1twNMz89f1/Z2ARZm5dkS8rV73jI7tv1uv/2SP592fqicP4NHAnxqkuyFwY187OPUxS8ixjZgl5NhGzBJybCNmCTm2EbOEHNuIWUKObcQsIcc2YpaQYxsx+4n3iMx8aHfjVM7zNhe4vavtNmDtMba9rWu7ufV5b93rxotDZh4FHNVPohFxVmbu1M9jpjpmCTm2EbOEHNuIWUKObcQsIcc2YpaQYxsxS8ixjZgl5NhGzBJybCPmMOJN5TlvI8A6XW3rAHc02HYdYCSrbsJ+4kiSJK1UprJ4uxiYHRFbd7RtB1zYY9sL63W9trsQ2LZz9CnVoIZecSRJklYqU1a8ZeZS4DvAoRExJyJ2BZ4DHNtj868AB0bEphGxCfB24Jh63WJgGfDmiFg9It5Ut/90iOn2dZh1mmKWkGMbMUvIsY2YJeTYRswScmwjZgk5thGzhBzbiFlCjm3ELCHHNmJOOt6UDViAap434GjgacBNwLsy8+sRsRvw/cycW28XwMeBV9cP/RLwzvqw6ejghy8BjwMuAl6VmedO2Y5IkiRNkykt3iRJkjQ5Xh5LkiSpIBZvkiRJBbF4kyRJKojFW0si4sSIeG5EPGhI8d7eoy0i4uhhxJekfnVN2SSpoYjYfDLvH4u3HiJitc5lwDCnAx8Aro2IIyNil0mm9dKIeFVHjkE1zcpmk4xblPp3sm4LcV8UEasPO+4wRMT6EbFXvaw/aIwW8oqImNdxf+OIeF5EPGqScdeIiH+MiCdGxKZDyPPpEfH1iDgvIi6tf349Ip422dhdzzN70C9TEfGkiHhbRDy9x7p3DRjzuRFxUERsUk/P9Mn6S+UbB4k3hqsiYoVL9zTML7ruPzkiPhERh9czEAwS8wURsWV9e72I+GpE3FQvx0TEQ/qMd1JE7BsRaw6Sz1SKiD0i4ssRcXZEXBQRP4qIwyJigwHjTcn7pn6uGfPemaL3DcCvqC6TNZjMdKlG3O4I/BJYSjWP3DLgPmDZJONuA3wUuAL4M1VB98gB4jyM6rqs/wbMAr4FfA9YvYXXYvV+9xuYA3weOA/4evc+AucPkMcmwEnABcB+wBOBa+vfzW+Bhw8Qc6sxluuAJwBb9Rlvv47bawFHAtdTXbfuS8CcAXI8Ftiuvr07cAvw+/q1vRHYZYCY9wI/Bl4CrDWEv5Fd6/1cBpwNzK9/N+dSXQVlnwFizqWaz/HOjvfgMuBKqumABsnzbcA1wKHA84E9gecBHwSuBt4y2dei47n6ft+M/g0BN9d/61fX7+u5HetvHyDmu+r3ze+BS4CDgXcC762f4519xvv5GMvdVP83fz5Ajrd33H4e1eUTj6z/j9wGvHCAmFcC69W3vwJ8m+p/+47AN4Fj+oz3d+DSOp+jgd2G8HcyFzgc+D5wANVlKr9Z7/8ZDPb58Fqq6be+SDWH2E3AZ4Cv1e/THfqMN2Xvm/r5ZsR7Z9jvm46/yV7LvcAS4MqBXrNh/gJKXoDzgY8AjwUe0bkMKf5uVB++y+p/BD+m/oDuI8YWwGVUvXonArMnkc/m4yyPAu7rM95RwKnA3vU/jZuABR3r7xggxxOo5vv7KNWHxDuAeVS9jd8Cvj5AzPt4oDDvtfRbtHZ+AH0K+BlVkflEqomjPz1AjjcBs+rbvwb+vWPdC4DfDBDzzvof0V+oPiSOBnafxN/Pb4DXURWsB1B9QPxzve5pwIUDxPw68H/Ak6mKw5OAtwBPr9+fbxkg5tXAY8ZY9xjgmj7j/XSc5Wf9/v3UMf8A7FzfXhP4MtWXk3XrtkHeO5dRfeHbtP673q5j3c7AH/uMdwPVBOkv61heDtwKvBl42QA53tFx+7fAMzruPx04d4CYI8Bq9e2r6PiiUv+tXtdnvNvrn3sA/0P1v/tS4BBgy37zq2MdC/wIeAPwE+CHVEXrdlSF66kDxLwS2Lbj/o7AL+vbL6HP4nrY75v6cTP+vTPs9039uIvq984/139HewALqP7P7w3sMdDf0SAPWhkXqg+0GHLMRwMfovrAvAh4D/BwYA3gQOCyCR7/yh7LJ6m+Eb12tG3A3IZdxFwNPKTj/tOoPtCfWd8f5APoBuBB1N/KRt+Q9bqHAlcPEPPo+o30+K72a4B5A8Tr/AD6Cx3Ffv27vmKAmLdSf3uk6mmb1bFuNQbrieksMnen6hXs/CDqt8fx1q6c7ulaf9uA+935YfsQ6m+lVBNyXzZAzNuAdcZYt26/eVL1zL8PeFWP5XX9vm/Geq2AT1B9+99owN/3bR23V3jv9RsTWI/qC9qZdPTi1O+bjfrNr8ff5I3URVd9Pzr/xvqIeTbw9Pr27+noxQK2BK4fNMf6/ppUxdBpVL1yiwfI8Xpg7Y7X9d7Rv/s6/o0DxLyp6/VbnbpQpfof2m8RM9T3Tf24Gf/eGfb7puP1fy/VJTz/taN94PdOpsVb5wv8ZeqegyHFO6v+h3QE8MQxtrlsghiLGiw/HTC/q6h6h2b1WOb0+0aiOrS3Rlfbk6gOpb1wwD/6W3rdru9Hv/+QOh67K3AOVU/ZaJE00BuJ5T+AVvg2CowMEPNr9T+g0fMaX96xbj/g95PJs6NtTWBfqm/+9/QZ71Jg+/r2zsA91B+UVB+SgxStVwCbdNx/ROd7ZMDX8miqb/VPpSr4H0x1nslT6/fP//QZ70zgBWOsW50+e6zrx10MbN2j/YP1ursGiHklsGZ9+51d69ZlgAKhfuwuVAXS5+o4Vw/yvqlj3U11WO5Qqv+V63Wsm9P9nm8Yc0+qUyA+WMe9lKpgeB/Vl6uD+4w35v8tqiMA7xogxxupT6eoX8Nl1P87qb7YD1K8/R/VF/v167/v/wJOqdfNpf+idajvmzrmjH/vtPW+qR+/JXAK1aHdR07mvZO5ihdvVB+MX6mXb1IdWjqto+0rwFcGjP0C4MHTvY/j5HcS8Lox1vX9RqI6lPv0Hu07UBVw9w6Q4++BjevbD+9a9yjg0kns/yyqw7AXU32THrR4Gz0n60rgb3QcaqA6BL1kgJgbUp1PdCnwg/o5/kJ1DsZNwK4DxBy30KWjaGoY7wCqQ1S/ojpM8W6qczI/CfwROGSAHN9LdRjk7cBBdZyD63VbMdghiwdTHXa/igd6m5dRnWvy0X7fo1RfRJ4yxrrVGOzw4ScYo6ioX9dBPtQ+To8PtXrd/lSXI+wrZtd+vrX++7xz0A8g4H+7lu071j2fAc6jqx/7OKovQH+hKhBvrd9Prxgg1gWDvk7jxPxm/b5+HdUH+Y+oiuF/pCq6Th4g5iZUhx9H/8Z/Pvo/k+ow51v6jDfU900dc8a/d9p833TE2Zvqc+fuQd87mblqXx4rIg5usl1mfnCSzxNUvSij8e4bMM4GwDOpCppPRMQmVF3lSwaItTHVH/b1g+TSI94zqbrZj+ux7vHAgZn5yj5jLqA6d+qGHuv2BjbNzM8NlvH9cR4OfJrqG+XWmXljn4/fo6vpotHXtM5/h8z89IC5PY2q93Iz4C6qYvbEzLxlgFjvzsyPDpLHODF3pjoP8/uZeUdEvJrqvJ3fZuZXBoz5MuDZ9d0fAEdnZkbEesCGmfnnSeS7LlUvxEhm3jponNKNjvLMSf7zj4iHUfW6npqZfx9GbquC+m/5MKr3zhFURwGOp3rv/IbqVJgrBow9h+r0n5HhZOv7ZtSw3jd1rLWArakG8g1WD6zKxVuniNg4M69t2t4g3iZUb8zdqbpb75eZswaItwfVCfxnUfW8rF23HZSZe/Ubr8/n/nxmvmGmxislZgk5thGzhBwlqSTO8/aAi8do/8OA8b5IdR7QU6kOL+0InEzVVT6Iz1CNOvwXqhNcoRqJuPOA8frxkhker5SYJeTYRswZmWNErB4Ry4aRTBvxSolZQo5txGwjxzYMkmc9v9nnO+Z2e2TX+vMHyGPuTI/ZUo4bR8T3I+K2iPhFdM35GhG39xsTqvllVFlhpuOIWIfqeP8gdgE2z8ylEZGZeV5Uk+z+AvjvAeJtkZk/qW+Pdpfew9T8Doc9i3obs7KXELOEHNuIOW05RsTm46xeo2mctuKVErOEHNuI2UaOEzzf6sCd/R6daSHPT1OdrnEI1dQWv4mI52fm4nr9Fn3Gg2qA2EyP2UaO/0U1OGFBHfOUiDggM79erx/ob2iVL94i4q9UxdCaEXFl1+oNgG8MGHoZD/SQ3RrVLOS3U80fM4g/RMQ/Z+YPO9r2pJr/qm3DPrbexrH6EmKWkGMbMaczx8vrbcf6B9lvbsOOV0rMYccrJeaw47VVEF7OcPN8NvDYzLwNODEivgd8KyJenpmnDpBfKTHbyHEB1RRSfwPOjYifAqdGxJzM/G8G/P+4yhdvVIdfgmqC2f062pNqnpw/DRj311SDC06kmorhm1QnnZ81YLy3A9+t/5jWjIgvAnsBzxkwnrQquIZqZvhe77s1qL5QTWe8UmKWkGMbMdvI8XKGX7QOO881qUZDVgll/igi/hX4v4g4YMAcS4jZRo6z6ai1MvP39WC2H0XE2gPEAzznjcz8Wd0lumF9e3T5+SQKN6gKwcX17bdSDeO+AHjxgHn+imo00oVUc/BcRjWz9G8nkWNTK81htGmOWUKObcSczhzPohrxu6x7oeoZ7ze3YccrJWYJObYRs40cr6E6reZBPZZBP8yHnecFVIPt7ld/Bj0D+CzV1Sr6VULMNnI8m+rqCp0xL6HqkXsD1ZyGfbPn7QH3RsT+wPZUw6Lvl5kvbRIgIg7t0dZ5926qX9YHBkkwM6+KiMOprgRwzSAxBvTVGR6vlJgl5NhGzOnM8bWMcd5qZt5N/19ghx2vlJgl5NhGzDZyHC20ft29IiIGLQiHnedHqSb87Y51bkTsSXWFoH6VELONHN9PdSWN7phX1DNGvGqAmE4VMioijgO2pZoB+c7OddlwnreI+N+Ou2tQTTT5W6qZ4zenGhl6Qmb23fsW1Vw7n6ea/PfvmTmn7s7dOTPf12+8jrhjzb12N9WEjL+q3/zTEq+UmCXk2EbMEnLs43lXySlS3O+pjRdDnmOzX/6+Z2a8Oub3MvNZjba1eKtExC1UFxq+dUjxjgOOz8wTOtqeB7xwwOLtOKpLUB0K/CEz16sHQfwiM7eeRJ6LqS4Efh3VB+NmVBd/P4sHRtY8JzMbnas37HilxCwhxzZilpBjH897e2auM1PjlRKzhBzbiNlSjm0UCCXs94yPOd05rvLnvHW4kuqyUMPyDKrrzXU6mWoQwyCeCry5PlyaAFldeWCjQROsXQi8IzM3z8xdMnNzqsER51J9aB5Jdax/uuKVErOEHNuIWUKOTa1M5/pNZ8wScmwjZhs5tjFHYgn7XULMNnJs/uT2vFUi4u1U1177L6pv/PfLzJ8OEO9s4MuZ+f862g6gur7ejgPEuwTYLTOviYibM3P9esj5aZn5mH7jdcS9BdggOy7RERGzqC7Au14979D1mfmQ6YhXSswScmwjZgk59vG8K9U38+mKWUKObcRsKcc7MnPgEYljxCxhv2d8zOnO0Z63B7yJ6tDMR4D/6Vi+NGC8VwMHRsSSiPh1RCyh6j149YDxvgScEBELgdUi4snAl4EvDBhv1HVUU450ehYwej7GGkA/1y0cdrxSYpaQYxsxS8hRKpW9K+rJ0aa1zNxyyPHOjYitqS4svgnV8PBf5uAXcP441TxxR1ANKT+a6hJc/zXJVN8MHB8RFwB/BR4OPJ6qFxLgifR3iGrY8UqJWUKObcQsIcemSjisUkLMEnJsI+a0HkbrQwn7XULMac3Rw6YdImI21fw7m1KdKP3LzLx3/EeVLyI2oDoXb7TI/F5m3jRT4pUSs4Qc24hZQo4Nn/PIzHz9TI1XSswScmwjZks5tnHYtIT9nvExW8rx3Zn50UbbWrxVIuIxVNOErMkD3/b/BuyVmRdNZ24AEXEi1aS/izPzvGlORypKrKJTpLjfw4nZRo4Nn7evAqGE/S4hZks5Phh4OZOYS3a5eBZvlaiuN/Z94PCsX5SIOAh4VmYunNbkuP+PaY96WQc4A/gZ8POcxFUW6t7GN9RxN6Sj2zYzdx/rcVMVr5SYJeTYRswScqxjLmYVnCLF/Z7R+91GgTDUPEv43bQRs6Ucv0F1laSB55JdTma6VLXazcCsrrbZwC3TnVuPXB8BHAbcBiybZKzPUk3N8BZgpP75R+CQmRCvlJgl5LiK7/cRVFPtdLa9CfgcVXH4PqrTJKYlXikxS8ixoP1eTFWoXQn8ov55N3AmcFW97LQS7veMj9lSjrcA6/bzmHHjDStQ6QvVNc2e0tW2ELhwunOrc3ks1SVQvl6/yX8D/CdVz+Bk4l4FbF7fvrX++RjgZzMhXikxS8hxFd/vW4DVutpmUX85o5rj8bbpildKzBJyLGi/2yoQZvp+z/iYLeV4HtWlLRs/ZrzFqUIe8B7g5Ig4LiI+HhHfpJpU9z3TnNeoC4GDgB8Dj8vMnTPzPzLze5OMuxbVOX4Ad0XEWpn5R2CHGRKvlJgl5NhGzBJyhFV3ihT3ezgx28hxH6pCrdORwL5Zfdp/AnhcnzFL2O8SYraR41eAkyLixRHxlM6lzziAU4XcLzNPjogdgH8HHgb8HnhfZv55ejO7337A7lQF3H9ExM954Jy3v477yPFdBDyBqifvLOCQiLidqvdjJsQrJWYJObYRs4QcYdWdIsX9nrn7PVognNTRNtkCoYT9LiFmGzm+qf75ka72BLbqM5YDFkZFxEOofmE7Uo0Euf+FycynT1devUR1YeMDqP4Y5mbmrEnEegJwbz4wL92RVPt/UGaeMd3xSolZQo5txCwhx464q+QUKe73zNzviHg6cDzVKTvLFQiZeVq9/snZ58nsM32/S4nZRo7DZPFWi4jTqI5pn0g1Ge79MvN/piWpDnWv4AKqEXi7UeX4M6rzgI7qM1ajbtpseFmwYccrJWYJObYRs4QcpRLM9AJBM5fFW60+LLNhZt4z3bn0EhGXU41O+jlVwfaXScS6rMFmmZmNunKHHa+UmCXk2EbMEnLsEX9VnSLF/Z6h+92GEva7hJgt5bgOcMgYMTfvO+CwRj6UvgCnAttOdx5dOV3dcft/pzsfF5dSF1bdKVLc75m737OpTtU5gfr85dFlJd/vGR+zpRy/StUB8xzgjvrnGcDbBoo3aCIr2wJsRHVy9BHABzqXaczpBmCD+vbt0/0aubiUurDqTpHifs/c/W6jQChhv2d8zJZyvL7j83w05qbAOYPE87BpLSL+G/hX4HSWP+ctc4BLVwwppw8DBwI3Up0TcXWv7XKQLldpFRIRtwDrZ2ZGxDXAIzPzzoi4PTPXme54pcQsIcc2YraU41VUAxKujIhbM3PdqC7T+MXM3GPAmCXs94yP2VKONwIbZ+a9EbEE2IaqB+7WQWI6VcgDXgQ8KjOvme5ERmXm+yLii1RXVDiNaroQSf1bVadIcb9n7n73nM+wHpw2qBL2u4SYbeR4HtX5bj+h6iT6PFWP68UDRRu0C3BlW+oXdsPpzmOc/J463Tm4uJS61P+Id6hvb0012fWvgH+aCfFKiVlCjgXt9y+Anevbp1BdMed9wEUr+X7P+Jgt5bgVVQ8eVKdpfQn4JtWk+33H87BpLaqL0D+P6jyE6zrX5QyZniAiXkHV+7Yp1TeAYzPzf6c3K2lmWlWnSHG/hxOz7elrhjWfYQn7XULM0qYrsnirjTNVQeaA0xMMU0S8F3gp8EngCqpDqW8DvpqZh01nbtJMtKpOkeJ+DydmSzm2UcSUsN8zPuYUTFcUwKuBF1Md5ds2InanOg/uW33Hs3grQ/2HtSAzr+hoewTVsPJHTF9mkqQm2i4QNHNFxIeApwGfAb6Q1QCVrYDjM3N+3/Es3soQEdcDW2TmnR1tc4FLM3Oj6ctMkiSNJyL+SnUe3Y0RcUtmrlf3xt2cmev1G2+14aeolvwA+FpEPDoi1qyHlH8Z+OE05yVJksY3i2p0KTxw7fS5HW19sXgrx5uo5oT5PdUv+3fAUqoL1EuSpJnrVOBTEbE63H8O3IeoRhr3zcOmhYmI1aiui3ZjZt433flIkqTx1dc2/TLwDOBBwN+o5m99aWbe0Xc8i7cyRMSJVL/472bmvdOdjyRJ6k9EzAM2B/6amdcOGsfDpuU4nepaq9dFxJERsct0JyRJkvpyF9U8ratFxCYRsckgQex5K0xEbAO8BNgHuAc4FvhaZv5lWhOTJEk9RcSewFFUc7RGx6rMzFl9x7N4K1NE7AZ8Dng81QCG3wJvz8zzpjUxSZK0nIi4gmqAwnFUvW/3y8xlfcezeCtHRDyaFXvdjgVuAN4AHJCZW05fhpIkqVtEXAdsMkih1jOexVsZIuIsYAuqC9l+JTN/3WObyyzeJEmaWSLiXVSHSz+WQyi8LN4KEREvAE7OzHumOxdJktRcRGxNNan+hsCNnesGuRyaxVuB6sn97j/h0fneJEmauSLiPKrJ9Y9nxXPeftJ3PIu3MtTDiY8AdgfW7Vw3yEgVSZI0NSLidmDdYXW2OM9bOb5INUjhqVSjS3cETgZeN51JSZKkCZ0EPGVYwex5K0RE3ARsnplLI+LWzFw3ItYHfpGZj5nu/CRJUm8R8S3g2VQT7l/XuS4zX9pvvNlDykvtWwaMXhbr1oh4KHA7sOn0pSRJkhq4sF6Gwp63QkTEKcDRmXliRHwR2JrqpMe1MnPh9GYnSZImIyLelZkfa7StxVsZImJdqt/XLRGxJvB2YG3g05O5uK0kSZp+EXF7Zq7TaFuLt5krIg5tsl1mfqDtXCRJUnsi4o7MXLvJtp7zNrM9vOP2GsDzqa5hegWwObAzcMI05CVJkoarcW+axdsMlpmvGL0dEccBL87MEzrange8cDpykyRJ08PDpoWIiNuA9TsvahsRs4GbMvMh05eZJEmarH4OmzpJbzkuAd7Y1fZ64C/TkIskSRqu05tuaM9bISJiB+BEqkPdV1HN73Yv8LzMPGc6c5MkSWOLiLGurnA3sCQzr+grnsVbOSLiQcCTgE2Aa4BfZubfpzcrSZI0noi4jOqzG+AmYIP69vXAxsDvgX/PzEsaxbN4kyRJak9EvA94CPCBzLyrnq/1EKorJX0G+CTwyMx8WqN4Fm+SJEntiYgbgIdl5r0dbQ8Crs7Mh0bEHKrDp+s1ieeABUmSpHYtBZ7Q1TYfuLO+fV8/wZznTZIkqV0fAE6LiJOBvwKbAXsBB9Trnwp8u2kwD5tKkiS1LCIeR3WlpNFBh9/OzD8MFMviTZIkqRweNpUkSWpRRKwPHARsD8ztXJeZu/cbz+JNkiSpXV8HVge+xQODFAbmYVNJkqQWRcTtwEMz8+5hxHOqEEmSpHb9nmqE6VB42FSSJKldPwV+EBH/C1zbuSIzj+43mIdNJUmSWhQRi8ZYlZk51kXrx45n8SZJklQOD5tKkiQNWURE1j1kETHmGIPM7OvSWGDxJkmS1IbbgHXq2/cC3Yc6o26b1W9gizdJkqTh26bj9pbDDOw5b5IkSQWx502SJGnIIuJYVjxUuoLMfGm/sS3eJEmShu+StgJ72FSSJKkg9rxJkiQNWUQ0mnw3M3/ad2x73iRJkoYrIi5rsFlm5lZ9x7Z4kyRJKoeHTSVJkloWEbOBXYBNgSXALzPz3oFi2fMmSZLUnoh4DHAKsCbwV+DhwN+AvTLzor7jWbxJkiS1JyJ+CnwfOLzjeqcHAc/KzIV9x7N4kyRJak9E3Aw8NDOXdbTNBm7IzPX6jTfmVe4lSZI0FFcDe3S17Va3980BC5IkSe16N3ByRHwXuAJ4BPAs4CWDBPOwqSRJUksiYhYwAjwR+FdgE6oet29l5sUDxbR4kyRJak9EnAc8IzMHOkzazcOmkiRJ7foa8N2I+C+qOd7u7znz8liSJEkzzDiXyvLyWJIkSSs7pwqRJEkqiMWbJElSQSzeJEmSCmLxJmmlFBGfj4ifT3cekjRsFm+SVhoRsU1EfCMi/gq8HtgtIpZGxGkR8S/TnZ8kDYPFm6SVQkTsDZwHzAFeBhwD/ALYk+pyNN+PiDfX2z6hLuhujIjbI+KMiHhyV7yMiBd03P9CRPw5IjaOiJfX63suHY95XkScHxF3R8RfI+K9EREd6y+PiEMi4qsRMRIR10bEQePl0bVucUR8bpIvnaTCWLxJWll8Bvg58Jx60sulwN8z85eZ+RrgaOCjETEHWBs4lurC0DsDvwNOjYgNegWOiE8AzwSempnXAt8EHlYvb6WadPNhHQsRMR84HvgO8I/Au6iub/imrvAHAhcBOwIHAx+JiOdN7qWQtDLzCguSihcR84DNgU/n2JNXfhd4JfD47hnNI+IA4PnAM4Cvdq37ALAfsHtmXgmQmXcBd9XrbwOW1UVdpwOBn2XmwfX9iyNia+CdwGc7tvt1Zh7Wsc0T6sd+p9HOS1rl2PMmaWVwT/1zrXG2GV33t4jYKCK+GBEX18XXHcBGVAVgp9cBHwT+AlzSZ06PBc7sajsD2DQi1ulo+2XXNr8EHtfVdmzHYdUfRsQOfeYiaSVi8SapeJl5C/Br4GURMbd7fUTMBl5DdXjzAuDLwBOAtwG7ANvX6x7c9dAnUh0u3RJ4yzBT7nP7d1Dl+EzgbuDkIeYiqTAWb5JWFq+mKr4uiogPAo8CHhoR76IayLA9sF9mLgP+CfhsZn4vMy+k6nl7WI+Yb8/M7wP7A4dFxKP6yOciYNeutn8ClmTmHR1tT+ra5kn1Yztdm5mXZOY5wCeBzSJiwz5ykbQSsXiTtFLIzAuAxwAfAraiGiSwOdWghK8Cj87MxfXmFwMviYjH1eeYHccDh1473VzH/i7VIIVjIqLp/81PAnvUo0kfFRH7Am8H/rNruydFxLsjYuuIeA3wUuDTXds8KCLWiIiNqEbSXgvc1DAPSSsZizdJK43MvDszj8rM/YATgLMz81mZ+dHMvK5j01cCc4GzqQq3o4HLJwj/VuDhVAVYk1zOAV5INRDiAuBj9dI9tcengG2Bc4EPAx/IzG93bfN1qgESf6HqUdx7nIEZklZy4ftfkqZHRFwOfC4zD5/uXCSVw543SZKkgli8SZIkFcTDppIkSQWx502SJKkgFm+SJEkFsXiTJEkqiMWbJElSQSzeJEmSCmLxJkmSVJD/D1jFu7hcwSG4AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Получение графика важности признаков\n",
    "forest = RandomForestRegressor(max_depth=12, n_estimators=350, random_state=42)\n",
    "forest.fit(X_train, y_train)\n",
    "\n",
    "importances = forest.feature_importances_\n",
    "forest_importances = pd.Series(importances, df_taxi.drop('num_orders', axis=1).columns.values)\n",
    "\n",
    "plt.figure(figsize=(10, 7))\n",
    "\n",
    "forest_importances.plot(kind='bar', grid=True, color='m')\n",
    "\n",
    "plt.title('Важность факторов', fontsize=16)\n",
    "plt.xticks(fontsize=12)\n",
    "plt.xlabel('Факторы', fontsize=14)\n",
    "plt.yticks(fontsize=12)\n",
    "plt.ylabel('Степень значимости', fontsize=14)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "На графике отчетливо видно, что смещение результатов на единицу наибольшим образом влияет на предсказание моделей. Коэффициент степени значимости данного признака превышает 0.3, когда иных параметров степень важности менее 0.15.\n",
    "\n",
    "**Рекомендация**:\n",
    "\n",
    "Для определения количества заказов по часам следует использовать нейронную сеть с [описанной ранее архитектурой](#Нейронная-сеть), так как ее значение RMSE наибольшим образом удовлетворяет поставленной задачи - значение RMSE должно быть менее 48 - и составляет около 43. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
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