mkdocs.yml

site_name: Customer Churn Pipeline Docs
extra_css: [style.css]
repo_url: https://github.com/awslabs/aws-customer-churn-pipeline
site_url: https://awslabs.github.io/aws-customer-churn-pipeline/
site_description: A python package for deploying an end to end customer churn prediction pipeline on AWS
site_author: Baichuan Sun, Charles Frenzel, Yin Song
use_directory_urls: false
nav:
  - Home:
      - Index: index.md
  - Training Pipeline:
      - Preprocessing: training/preporcessing.md
      - HyperParameter Tuning: training/hyperparameter_tuning.md
      - Training: training/model_training.md
      - Model Persistence: training/save_model.md
      - Evaluation: training/model_evaluation.md
  - Inference Pipeline:
      - Preprocessing: inference/preprocessing.md
      - Batch Inference: inference/batch_transform.md

plugins:
  - mkdocstrings:
      watch:
        - scripts
  - search
copyright: Copyright © 2021
theme:
  name: readthedocs
  icon:
    logo: material/library
  font:
    text: Ubuntu
    code: Ubuntu Mono
  feature:
    tabs: true
  palette:
    primary: indigo
    accent: blue
markdown_extensions:
  - codehilite
  - pymdownx.inlinehilite
  - pymdownx.details
  - pymdownx.tabbed
  - pymdownx.highlight:
      use_pygments: true
  - toc:
      permalink: true