pycaret.classification.create_docker#

pycaret.classification.create_docker(api_name: str, base_image: str = 'python:3.11-slim', expose_port: int = 8000) → None[source]#

This function creates a Dockerfile and requirements.txt for productionalizing API end-point.

Example

>>> from pycaret.datasets import get_data
>>> juice = get_data('juice')
>>> from pycaret.classification import *
>>> exp_name = setup(data = juice,  target = 'Purchase')
>>> lr = create_model('lr')
>>> create_api(lr, 'lr_api')
>>> create_docker('lr_api')

api_name: str: Name of API. Must be saved as a .py file in the same folder.
base_image: str, default = “python:3.11-slim”: Name of the base image for Dockerfile.
expose_port: int, default = 8000: port for expose for API in the Dockerfile.

Returns:: None