dvc-project-template

NLP-DVC-Project-with-docs

STEPS -

STEP 01- Create a repository by using template repository

STEP 02- Clone the new repository

STEP 03- Create a conda environment after opening the repository in VSCODE

conda create --prefix ./env python=3.8 -y

conda activate ./env

OR

source activate ./env

STEP 04- install the requirements

pip install -r requirements.txt

STEP 05- initialize the dvc project

dvc init

STEP 06- commit and push the changes to the remote repository

Project with Mkdocs documentations

git rm -r --cached 'artifacts\model\model.pkl' git commit -m "stop tracking artifacts\model\model.pkl"

git rm -r --cached 'logs\running_logs.log'

git rm -r --cached 'artifacts\features\train.pkl' git rm -r --cached 'artifacts\features\test.pkl' git rm -r --cached 'artifacts\prepared\train.tsv' git rm -r --cached 'artifacts\prepared\test.tsv'