lab2 + lab3 done
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sofiaivv
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data/Coffe.csv
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data/Coffe.csv
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data/Diamonds.csv
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data/Diamonds.csv
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data/Gold.csv
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data/Gold.csv
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data/jio_mart_items.csv
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data/jio_mart_items.csv
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lab1.ipynb
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lab1.ipynb
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lab2.2.ipynb
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lab2.2.ipynb
@ -2,7 +2,7 @@
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 27,
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"execution_count": 1,
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"metadata": {},
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"outputs": [
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{
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@ -32,7 +32,6 @@
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"Date_numeric 0.000505\n",
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"dtype: float64\n",
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"Сильно смещенные столбцы: ['Open', 'High', 'Low', 'Close', 'Adj Close', 'Volume']\n",
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"Данные за последние 25 лет\n",
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"Выбросы в столбце 'Open':\n",
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"Series([], Name: Open, dtype: float64)\n",
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"\n",
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@ -115,60 +114,60 @@
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" dtype='object')\n",
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"Обучающая выборка: (4821, 11)\n",
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"Close\n",
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"0.765625 14\n",
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"0.750000 12\n",
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"0.789063 11\n",
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"0.882813 10\n",
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"0.750000 16\n",
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"0.753906 13\n",
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"0.835938 11\n",
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"0.773438 10\n",
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"0.703125 10\n",
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" ..\n",
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"91.949997 1\n",
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"48.685001 1\n",
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"103.870003 1\n",
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"2.414063 1\n",
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"4.280000 1\n",
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"Name: count, Length: 3678, dtype: int64\n",
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"5.953125 1\n",
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"12.355000 1\n",
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"105.040001 1\n",
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"11.882500 1\n",
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"74.870003 1\n",
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"Name: count, Length: 3632, dtype: int64\n",
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"Контрольная выборка: (1607, 11)\n",
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"Close\n",
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"0.750000 6\n",
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"0.796875 5\n",
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"3.320313 4\n",
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"0.835938 4\n",
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"0.601563 4\n",
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" ..\n",
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"0.414063 1\n",
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"111.070000 1\n",
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"11.790000 1\n",
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"59.610001 1\n",
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"2.472656 1\n",
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"Name: count, Length: 1438, dtype: int64\n",
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"0.796875 5\n",
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"0.765625 5\n",
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"0.835938 4\n",
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"3.156250 4\n",
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"0.738281 4\n",
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" ..\n",
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"25.184999 1\n",
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"5.882813 1\n",
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"58.320000 1\n",
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"0.753906 1\n",
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"66.430000 1\n",
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"Name: count, Length: 1454, dtype: int64\n",
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"Тестовая выборка: (1607, 11)\n",
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"Close\n",
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"0.750000 6\n",
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"0.765625 6\n",
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"3.000000 4\n",
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"0.601563 4\n",
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"0.707031 4\n",
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"2.562500 5\n",
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"0.750000 5\n",
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"0.781250 5\n",
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"0.710938 4\n",
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" ..\n",
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"98.599998 1\n",
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"56.110001 1\n",
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"0.621094 1\n",
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"21.740000 1\n",
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"98.000000 1\n",
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"Name: count, Length: 1444, dtype: int64\n",
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"54.189999 1\n",
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"18.625000 1\n",
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"3.468750 1\n",
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"12.452500 1\n",
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"91.650002 1\n",
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"Name: count, Length: 1440, dtype: int64\n",
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"Обучающая выборка после undersampling: (4773, 11)\n",
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"Close\n",
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"0.765625 14\n",
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"0.750000 12\n",
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"0.789063 11\n",
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"0.882813 10\n",
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"0.703125 10\n",
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" ..\n",
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"98.230003 1\n",
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"27.315001 1\n",
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"8.995000 1\n",
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"81.930000 1\n",
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"12.357500 1\n",
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"Name: count, Length: 3641, dtype: int64\n"
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"0.750000 16\n",
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"0.753906 13\n",
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"0.835938 11\n",
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"0.765625 10\n",
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"0.703125 10\n",
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" ..\n",
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"107.209999 1\n",
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"50.419998 1\n",
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"93.730003 1\n",
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"115.160004 1\n",
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"9.365000 1\n",
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"Name: count, Length: 3589, dtype: int64\n"
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]
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}
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],
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@ -305,7 +304,7 @@
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"display_name": ".venv",
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"language": "python",
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"name": "python3"
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},
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lab2.ipynb
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lab2.ipynb
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lab3.ipynb
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lab3.ipynb
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readme.md
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readme.md
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## Окружение и примеры для выполнения лабораторных работ по дисциплине "Методы ИИ"
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# PIbd-33_Ivanova_S.V._MAI
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### Python
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Используется Python версии 3.12
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Установщик https://www.python.org/ftp/python/3.12.5/python-3.12.5-amd64.exe
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### Poetry
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Для создания и настройки окружения проекта необходимо установить poetry
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**Для Windows (Powershell)**
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```
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(Invoke-WebRequest -Uri https://install.python-poetry.org -UseBasicParsing).Content | python -
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```
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**Linux, macOS, Windows (WSL)**
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```
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curl -sSL https://install.python-poetry.org | python3 -
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```
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**Добавление poetry в PATH**
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1. Открыть настройки переменных среды \
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\
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<img src="docs/path1.png" width="300"> \
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\
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<img src="docs/path2.png" width="400"> \
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2. Изменить переменную Path текущего пользователя \
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\
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<img src="docs/path3.png" width="500"> \
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3. Добавление пути `%APPDATA%\Python\Scripts` до исполняемого файла poetry \
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\
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<img src="docs/path4.png" width="400">
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### Создание окружения
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```
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poetry install
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```
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### Запуск тестового сервиса
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Запустить тестовый сервис можно с помощью VSCode (см. launch.json в каталоге .vscode).
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Также запустить тестовый сервис можно с помощью командной строки:
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1. Активация виртуального окружения -- `poetry shell`
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2. Запуск сервиса -- `python run.py`
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Для выходы из виртуального окружения используется команду `exit`
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