diff --git a/.dvc/.gitignore b/.dvc/.gitignore
new file mode 100644
index 0000000..528f30c
--- /dev/null
+++ b/.dvc/.gitignore
@@ -0,0 +1,3 @@
+/config.local
+/tmp
+/cache
diff --git a/.dvc/config b/.dvc/config
new file mode 100644
index 0000000..e69de29
diff --git a/.dvcignore b/.dvcignore
new file mode 100644
index 0000000..e69de29
diff --git a/.env_example b/.env_example
new file mode 100644
index 0000000..4a28324
--- /dev/null
+++ b/.env_example
@@ -0,0 +1,24 @@
+S3_API_HOST=
+S3_BUCKET_NAME=
+S3_ACCESS_KEY=
+S3_SECRET_KEY=
+
+DVC_USE_SSL=True
+DVC_REMOTE_URL=
+DVC_REMOTE_NAME=minio
+
+
+MLFLOW_POSTGRES_DB=postgres_mlflow
+MLFLOW_POSTGRES_USER=mlflow
+MLFLOW_POSTGRES_PASSWORD=mlflow_password
+MLFLOW_POSTGRES_PORT=5432
+MLFLOW_POSTGRES_HOST=mlflow-postgres
+
+BACKEND_STORE_URI=postgresql://${MLFLOW_POSTGRES_USER}:${MLFLOW_POSTGRES_PASSWORD}@localhost:${MLFLOW_POSTGRES_PORT}/${MLFLOW_POSTGRES_DB}
+MLFLOW_TRACKING_URI=http://localhost:5000
+MLFLOW_S3_ENDPOINT_URL=https://
+MLFLOW_S3_REMOTE_URL=
+MLFLOW_PORT=5000
+
+AWS_ACCESS_KEY_ID=
+AWS_SECRET_ACCESS_KEY=
\ No newline at end of file
diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000..82f9275
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,162 @@
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/latest/usage/project/#working-with-version-control
+.pdm.toml
+.pdm-python
+.pdm-build/
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
new file mode 100644
index 0000000..7475dd3
--- /dev/null
+++ b/.pre-commit-config.yaml
@@ -0,0 +1,48 @@
+# default_stages: [commit, push]
+# Список файлов, которые необходимо игнорировать при проверке pre-commit hooks
+exclude: '^(models/|data/|notebooks/|config/|mlflow/|.dvc/)'
+
+repos:
+  - repo: https://github.com/pre-commit/pre-commit-hooks
+    rev: v4.6.0
+    hooks:
+      - id: check-yaml
+      - id: end-of-file-fixer
+      - id: trailing-whitespace
+      - id: check-merge-conflict
+      - id: check-added-large-files
+        args: ['--maxkb=10000']
+  - repo: local
+    hooks:
+      # FLAKE 8
+      - id: flake8
+        name: flake8
+        entry: pflake8 --config pyproject.toml .
+        language: system
+        types: [ python ]
+      # RUFF
+      - id: ruff
+        name: ruff
+        entry: poetry run ruff check
+        language: system
+        types: [ python ]
+      # MYPY
+      # - id: mypy
+      #   name: mypy
+      #   entry: poetry run mypy
+      #   require_serial: true
+      #   language: system
+      #   # args: [--strict]
+
+      # PYLINT
+      - id: pylint
+        name: pylint
+        entry: poetry run pylint
+        language: system
+        types: [python]
+        args:
+          [
+            "-rn", # Only display messages
+            "-sn", # Don't display the score
+            "--rcfile=pyproject.toml"
+          ]
\ No newline at end of file
diff --git a/README.md b/README.md
index a2b2253..f577dca 100644
--- a/README.md
+++ b/README.md
@@ -1,2 +1,102 @@
 # ML-DL-Repository-Template
 Шаблон репозитория для классического ML/DL проекта
+
+**Задача:** Тут можно кратко описать задачу...
+
+## Чтобы запустить проект локально:
+1. Установите python 3.11 и выше
+2. Склонировать репозиторий: ``git clone ...``
+3. Создать виртуальное окружение: ``python -m venv venv``
+4. Активироавть виртуальное окружение: ``venv\Scripts\activate`` (для windows)
+5. Заполните ``.env`` файл:
+6. Соберите проект: ``python setup.py``
+
+```
+S3_API_HOST=
+S3_BUCKET_NAME=
+S3_ACCESS_KEY=
+S3_SECRET_KEY=
+
+DVC_USE_SSL=True
+DVC_REMOTE_URL=s3://ml-team-spb/businessguarantees
+DVC_REMOTE_NAME=minio
+
+
+MLFLOW_POSTGRES_DB=postgres_mlflow
+MLFLOW_POSTGRES_USER=mlflow
+MLFLOW_POSTGRES_PASSWORD=mlflow_password
+MLFLOW_POSTGRES_PORT=5432
+MLFLOW_POSTGRES_HOST=mlflow-postgres
+
+# MLFLOW S3
+BACKEND_STORE_URI=postgresql://${MLFLOW_POSTGRES_USER}:${MLFLOW_POSTGRES_PASSWORD}@localhost:${MLFLOW_POSTGRES_PORT}/${MLFLOW_POSTGRES_DB}
+MLFLOW_TRACKING_URI=http://localhost:5000
+MLFLOW_S3_ENDPOINT_URL=S3_API_HOST
+MLFLOW_S3_REMOTE_URL=
+
+AWS_ACCESS_KEY_ID=
+AWS_SECRET_ACCESS_KEY=
+MLFLOW_PORT=5000
+```
+
+## Чтобы запустить mlflow:
+1. Получить доступ к докеру и настроить его
+2. Заполнить env файл
+3. Запустить mlflow (желательно в отдельной консоли): ``python mlflow/mlflow_start.py``
+
+## Принцип ведения git:
+
+Во время разработки следует следует создавать новые ветки из ``main``.
+
+1. Чтобы добавить новый функционал, создаем ветку ``название_нового_функционала`` от ``main``.
+
+(Хочу добавить поддержку линейной регрессии -> название ветки: ``add: linear_reg_support``)
+
+2. Чтобы пофиксить баг создаем ветку ``fix: описание_бага`` от ``main``
+
+(Хочу добавить пофиксить баг подключение к БД -> название ветки: ``fix: bd_connection``)
+
+3. Чтобы что-то инициализировать ``init: описание``
+
+## Полезные git команды:
+1. ``git checkout -b branch_name`` - создать ветку и переключиться на нее
+2. ``git branch`` - отобразить все существующие ветки
+3. ``git push -u origin new branch``  - отправить новую ветку в удаленный репозиторий
+4. ``git reset -soft HEAD~1`` - удалить последний 1 коммит, но сохранить изменения
+5. ``git branch -d <branch-name>`` - удалить ветку из локального репозиторию
+6. ``git checkout current_branch`` ``->`` ``git merge target_branch`` – подтянуть изменения из ``target_branch`` ветки в ``current_branch``
+7. ``git checkout --track -b local_branch_name origin/remote_branch_name`` – Чтобы склонировать конкретную существующую в удаленном репозитории ветку, нужно ввести команду
+8. ``git rm --cached filename`` (если директория, то ``-r filename``) – удалить что-то из всевидящего GIT - ока:
+
+## Полезные команды Poetry:
+1. ``poetry update`` - обновить зависимость по pyproject.toml файлу
+2. ``poetry install`` - установить все зависимости по pyproject.toml и poetry.lock файлам
+3. ``poetry add --group group_name lib_name`` - добавить библиотеку в зависимости (``--group group_name`` - не обязательно)
+4. ``poetry remove lib_name`` - удалить библиотеку из зависимостей
+5. ``poetry run pre-commit run --all-files`` - запустить pre-commit хуки
+
+## Полезные команды DVC:
+1. ``dvc init`` - инициализировать все dvc файлы
+2. ``dvc add path/to/...`` - добавить в dvc папку/файл
+3. ``dvc commit`` - Фиксирует изменения
+4. ``dvc push `` - загрузить измененные данные в s3
+5. ``dvc pull`` - выгрузить данные из s3
+6. ``dvc remote list`` - показать список доступных хранилищ
+7. ``dvc diff`` - показать разницу между предыдущими версиями
+8. ``dvc checkout`` - восстановить данные из предыдущего коммита
+
+## Полезные команды Docker:
+1. ``docker-compose down -v`` - (удалить контейнеры, включая volumes)
+2. ``docker-compose down`` - (удалить контейнеры)
+3. ``docker-compose build --no-cache`` - пересобрать, не используя кэш
+4. ``docker-compose build`` - пересобрать
+5. ``docker-compose up -d`` - запустить в detouch моде (логи не отображаются в консоли)
+6. ``docker-compose up -d --build`` - запустить в detouch моде и пересобрать
+7. ``docker ps`` - вывести список запущенных контейнеров
+
+## Полезные команды:
+1. ``set PYTHONPATH=%PYTHONPATH%;C:\Users\<username>\PycharmProjects\`` - перед запуском jupyter notebook. Чтобы корректно работали во вложенных папках, а не только в корне (для PyCharm)
+2. Установить прокси совкомбанка:
+    - ``set http_proxy=http://proxy-server``
+    - ``set https_proxy=http://proxy-server``
+    - ``set no_proxylocalhost,127.0.0.1,192.168.*,10.60.*``
diff --git a/config/__init__.py b/config/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/config/config.py b/config/config.py
new file mode 100644
index 0000000..e69de29
diff --git a/data/data.csv b/data/data.csv
new file mode 100644
index 0000000..e69de29
diff --git a/data/img/img.jpeg b/data/img/img.jpeg
new file mode 100644
index 0000000..e69de29
diff --git a/docker-compose.yaml b/docker-compose.yaml
new file mode 100644
index 0000000..7e6556f
--- /dev/null
+++ b/docker-compose.yaml
@@ -0,0 +1,24 @@
+version: '3'
+
+services:
+  mlflow-postgres:
+    image: postgres:13.3
+    ports:
+      - ${MLFLOW_POSTGRES_PORT}:5432
+    env_file:
+      - .env
+    environment:
+      - POSTGRES_DB=${MLFLOW_POSTGRES_DB}
+      - POSTGRES_USER=${MLFLOW_POSTGRES_USER}
+      - POSTGRES_PASSWORD=${MLFLOW_POSTGRES_PASSWORD}
+      - POSTGRES_HOST=${MLFLOW_POSTGRES_HOST}
+    networks:
+      - ml_network
+    healthcheck:
+      test: ["CMD-SHELL", "pg_isready -U $${MLFLOW_POSTGRES_USER} -d $${MLFLOW_POSTGRES_DB}"]
+      interval: 60s
+      timeout: 10s
+      retries: 3
+    restart: on-failure
+networks:
+  ml_network:
diff --git a/mlflow/Dockerfile b/mlflow/Dockerfile
new file mode 100644
index 0000000..7733a6f
--- /dev/null
+++ b/mlflow/Dockerfile
@@ -0,0 +1,11 @@
+FROM python:3.11
+
+WORKDIR /mlflow/
+
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt && \
+  rm requirements.txt
+
+EXPOSE 5000
+
+CMD mlflow server --host 0.0.0.0 --port 5000 --backend-store-uri ${MLFLOW_BACKEND_STORE_URI} --default-artifact-root ${MLFLOW_DEFAULT_ARTIFACT_ROOT}
diff --git a/mlflow/mlflow_start.py b/mlflow/mlflow_start.py
new file mode 100644
index 0000000..b252fba
--- /dev/null
+++ b/mlflow/mlflow_start.py
@@ -0,0 +1,38 @@
+import os
+import subprocess
+
+from dotenv import load_dotenv
+
+load_dotenv()
+
+
+def run_command(command: str) -> None:
+    """Выполняет указанную команду"""
+    subprocess.run(command, shell=True, check=True)
+
+
+def setup_mlflow_server() -> None:
+    """Запускает MLflow сервер с заданными переменными окружения"""
+
+    try:
+        # Формирование команды для запуска MLflow сервера
+        mlflow_command = (
+            f'mlflow server --host 0.0.0.0 --port {os.getenv("MLFLOW_PORT")} '
+            f'--backend-store-uri {os.getenv("BACKEND_STORE_URI")} '
+            f'--default-artifact-root {os.getenv("MLFLOW_S3_REMOTE_URL")} '
+            f'--artifacts-destination {os.getenv("MLFLOW_S3_REMOTE_URL")} '
+        )
+
+        # Запускаем БД
+        run_command("docker-compose up -d")
+
+        # Запуск MLflow сервера
+        run_command(mlflow_command)
+    except KeyboardInterrupt:
+        pass
+    finally:
+        run_command("docker-compose stop")
+
+
+if __name__ == "__main__":
+    setup_mlflow_server()
diff --git a/mlflow/requirements.txt b/mlflow/requirements.txt
new file mode 100644
index 0000000..43f8876
--- /dev/null
+++ b/mlflow/requirements.txt
@@ -0,0 +1,3 @@
+mlflow==2.13.2
+psycopg2
+boto3
\ No newline at end of file
diff --git a/models/model.pkl b/models/model.pkl
new file mode 100644
index 0000000..e69de29
diff --git a/notebooks/notebook.ipynb b/notebooks/notebook.ipynb
new file mode 100644
index 0000000..e69de29
diff --git a/pyproject.toml b/pyproject.toml
new file mode 100644
index 0000000..8a907d5
--- /dev/null
+++ b/pyproject.toml
@@ -0,0 +1,142 @@
+[tool.poetry]
+name = "Project"
+version = "0.1.0"
+description = ""
+authors = [""]
+readme = "README.md"
+packages = [
+    { include = "src" }
+]
+
+# Основные зависимости
+[tool.poetry.dependencies]
+python = "^3.11"
+pandas = "^2.2.2"
+scikit-learn = "^1.4.2"
+optuna = "^3.6.1"
+joblib = "^1.4.2"
+openpyxl = "^3.1.2"
+matplotlib = "^3.9.0"
+requests = "^2.31.0"
+scipy = "^1.13.0"
+tqdm = "^4.66.4"
+statsmodels = "^0.14.2"
+seaborn = "^0.13.2"
+dvc = {extras = ["s3"], version = "^3.50.2"}
+python-dotenv = "^1.0.1"
+pydantic = "^2.7.1"
+pydantic-settings = "^2.2.1"
+pyarrow = "15.0.0"
+fastparquet = "^2024.5.0"
+shap = "^0.45.1"
+catboost = "^1.2.5"
+
+[tool.poetry.group.dev.dependencies] # Зависимости для DEV версии
+ruamel-yaml = "0.18.5"
+pylint = "^3.2.0"
+pre-commit = "^3.7.1"
+flake8 = "^7.0.0"
+ruff = "^0.4.4"
+pre-commit-hooks = "^4.6.0"
+pyproject-flake8 = "^7.0.0"
+ipykernel = "^6.29.4"
+ipywidgets = "^8.1.2"
+jupyter = "^1.0.0"
+mypy = "^1.10.0"
+mlflow = "^2.13.2"
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"
+
+# MYPY CONFIG
+[tool.mypy]
+ignore_missing_imports = true
+exclude = [
+    "^.git/",
+    "^__pycache__/",
+    "^venv/",
+    "^models/",
+    "^data/",
+    "^notebooks/",
+    "^config/",
+    "^mlflow/",
+    "^.dvc/"
+]
+
+[[tool.mypy.overrides]]
+module = "tqdm"
+ignore_errors = true
+
+[[tool.mypy.overrides]]
+module = "selenium"
+ignore_errors = true
+
+[[tool.mypy.overrides]]
+module = "catboost"
+ignore_errors = true
+
+[[tool.mypy.overrides]]
+module = "pymorphy2"
+ignore_errors = true
+
+# RUFF CONFIG
+[tool.ruff]  # RUFF CONFIG:
+line-length = 120
+
+[tool.ruff.lint]
+ignore = ["F841", "E722"]
+
+# PYLINT CONFIG
+[tool.pylint."MESSAGES CONTROL"]  # PYLINT CONFIG:
+disable = [
+    "C0114",  # missing module docstring
+    "C0103",  # Constant name doesn't conform to UPPER_CASE naming style
+    "W0612",  # Unused import
+    "W0613",  # Unused argument
+    "R0801",  # simillar 2 lines
+    "R0903",  # Too few public methods (1/2)
+]
+
+[tool.pylint.FORMAT]
+max-line-length = 120
+
+[tool.pylint.BASIC]
+max-args = 8
+max-attributes = 15
+good-names = ["i", "j", "k", "ex", "Run", "_"]
+bad-names = ["foo", "bar", "baz", "toto", "tutu", "tata", "bebra", "lebra", "aboba"]
+
+[tool.pylint.MISCELLANEOUS]
+notes = ["FIXME", "XXX", "TODO"]
+
+[tool.pylint.SIMILARITIES]
+min-similarity-lines = 4
+ignore-comments = true
+ignore-docstrings = true
+ignore-imports = false
+
+# FLAKE 8 CONFIG:
+[tool.flake8]  
+exclude = [
+    ".git",
+    "__pycache__",
+    "venv",
+    "__init__.py",
+    "models",
+    "data",
+    "notebooks",
+    "config",
+    "mlflow",
+    ".dvc"
+]
+max-line-length = 120
+ignore = [
+    "E203",
+    "F401",
+    "F541",
+    "F841",
+    "E722",
+    "E241",
+    "W503"
+]
diff --git a/requirements.txt b/requirements.txt
new file mode 100644
index 0000000..dd27a46
--- /dev/null
+++ b/requirements.txt
@@ -0,0 +1,2 @@
+python-dotenv
+poetry
\ No newline at end of file
diff --git a/setup.py b/setup.py
new file mode 100644
index 0000000..0240b65
--- /dev/null
+++ b/setup.py
@@ -0,0 +1,35 @@
+import subprocess
+
+from dotenv import load_dotenv
+
+load_dotenv()
+
+
+def run_command(command: str) -> None:
+    """Выполняет указанную команду"""
+    subprocess.run(command, shell=True, check=True)
+
+
+def setup() -> None:
+    """Собирает проект полностью"""
+    # 1. Обновить pip
+    run_command("python -m pip install --upgrade pip")
+
+    # 2. Установить зависимости для poetry
+    run_command("pip install -r requirements.txt")
+
+    # 3. Установить остальные зависимости с помощью poetry
+    run_command("poetry install")
+
+    # 4. Заполнить config для dvc
+    run_command("python .dvc/setup_dvc.py")
+
+    # 5. Подгрузить актуальные модели и датасеты из s3
+    run_command("dvc pull")
+
+    # 6. Подгрузить актуальные модели и датасеты из s3
+    run_command("poetry run pre-commit install")
+
+
+if __name__ == "__main__":
+    setup()
\ No newline at end of file
diff --git a/setup_dvc.py b/setup_dvc.py
new file mode 100644
index 0000000..7dba149
--- /dev/null
+++ b/setup_dvc.py
@@ -0,0 +1,24 @@
+import os
+
+from dotenv import load_dotenv
+
+# Загрузка переменных окружения из файла
+env_path = ".env"
+load_dotenv(dotenv_path=env_path)
+
+# Получение значений из переменных окружения
+remote_name = os.getenv("DVC_REMOTE_NAME")
+remote_url = os.getenv("DVC_REMOTE_URL")
+endpoint_url = os.getenv("S3_API_HOST")
+access_key_id = os.getenv("S3_ACCESS_KEY")
+secret_access_key = os.getenv("S3_SECRET_KEY")
+use_ssl = os.getenv("DVC_USE_SSL")
+
+# Настройка DVC удаленного хранилища
+os.system(f"dvc remote add -d {remote_name} {remote_url}")
+os.system(f"dvc remote modify {remote_name} endpointurl {'https://' + endpoint_url}")
+os.system(f"dvc remote modify {remote_name} access_key_id {access_key_id}")
+os.system(f"dvc remote modify {remote_name} secret_access_key {secret_access_key}")
+os.system(f"dvc remote modify {remote_name} use_ssl {use_ssl}")
+
+print("DVC configuration has been set up.")
diff --git a/src/interfaces/interface.py b/src/interfaces/interface.py
new file mode 100644
index 0000000..e69de29
diff --git a/src/interfaces/processor_interface.py b/src/interfaces/processor_interface.py
new file mode 100644
index 0000000..f8088a8
--- /dev/null
+++ b/src/interfaces/processor_interface.py
@@ -0,0 +1,48 @@
+# Интерфейс для процессоров
+import pandas as pd
+from joblib import Parallel, delayed
+
+
+class ProcessorInterface:
+    """Метод, реализующие интерфейс для процессора (выделение фич, препроцессинг...)"""
+
+    def __init__(self) -> None:
+        pass
+
+    def feature_construct(self, df: pd.DataFrame, column_name: str = "trn_purp", is_cuda: bool = False) -> pd.DataFrame:
+        """Метод для выделения фич"""
+        return df
+
+    def multi_feature_construct(
+        self, df: pd.DataFrame, column_name: str, chunk_size: int = 5000, n_cores: int = 8, is_cuda: bool = False
+    ) -> pd.DataFrame:
+        """Метод для параллельного выделения фич"""
+        dfs = [df[i : i + chunk_size] for i in range(0, len(df), chunk_size)]
+        results = Parallel(n_jobs=n_cores)(delayed(self.feature_construct)(X, column_name, is_cuda) for X in dfs)
+
+        # Если получился словарь (для эмбеддингов):
+        if isinstance(results[0], dict):
+            data = {}
+            for d in results:
+                data.update(d)
+        # Если получился датафрейм (для остального):
+        elif isinstance(results[0], (pd.DataFrame, pd.Series)):
+            data = pd.concat(results)
+        return data
+
+    def transform(
+        self,
+        df: pd.DataFrame,
+        column_name: str = "trn_purp",
+        chunk_size: int = 500,
+        n_jobs: int = 1,
+        n_cores: int = 8,
+        is_cuda: bool = False,
+    ) -> pd.DataFrame:
+        """Метод для преобразования входящего df с возможностью выбора синхронного или параллельного режима"""
+        if n_jobs == 1:
+            df = self.feature_construct(df, column_name, is_cuda=is_cuda)
+        elif n_jobs == -1:
+            df = self.multi_feature_construct(df, column_name, chunk_size=chunk_size, n_cores=n_cores, is_cuda=is_cuda)
+
+        return df
diff --git a/src/pipeline/pipeline.py b/src/pipeline/pipeline.py
new file mode 100644
index 0000000..e69de29
diff --git a/src/processors/precessor.py b/src/processors/precessor.py
new file mode 100644
index 0000000..e69de29
diff --git a/src/scripts/script.py b/src/scripts/script.py
new file mode 100644
index 0000000..e69de29