Skip to content

pradeepnegi88/basic_ml_pipeline

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

35 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Start Machine Learning project.

Creating conda environment

conda create -p venv python==3.7 -y
conda activate venv/

OR

conda activate venv
pip install -r requirements.txt

To setup CI/CD pipeline in heroku we need 3 information

  1. HEROKU_EMAIL = [email protected]
  2. HEROKU_API_KEY = <>
  3. HEROKU_APP_NAME = ml-regression-app

BUILD DOCKER IMAGE

docker build -t <image_name>:<tagname> .

Note: Image name for docker must be lowercase

To list docker image

docker images

Run docker image

docker run -p 5000:5000 -e PORT=5000 f8c749e73678

To check running container in docker

docker ps

Tos stop docker conatiner

docker stop <container_id>
python setup.py install

Install ipykernel

pip install ipykernel

Data Drift: When your datset stats gets change we call it as data drift

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published