_pkgdown.yml

template:
  params:
    bootswatch: flatly
    ganalytics: UA-76139189-2

navbar:
  title: "modeltime.h2o"
  left:
    - icon: fa-home
      href: index.html
    - text: "Getting Started"
      href: articles/getting-started.html
    - text: "Articles"
      href: articles/index.html
      menu:
        - text: 'Forecasting'
        - text: 'Getting Started with Modeltime H2O'
          href: articles/getting-started.html
    - text: "API"
      href: reference/index.html
      menu:
        - text: 'API Functions'
        - icon: fa-home
          text: 'Function Reference'
          href: reference/index.html
        - text: '---'
        - text: 'Change History'
        - text: "News"
          href: news/index.html
    - text: "Ecosystem"
      menu:
        - text: 'Forecast'
        - text: 'Modeltime (Forecasting)'
          href: https://business-science.github.io/modeltime/
        - text: 'TimeTK (Time Series Analysis)'
          href: https://business-science.github.io/timetk/
        - text: "---"
        - text: 'Improve'
        - text: 'Modeltime Ensemble (Blending Forecasts)'
          href: https://business-science.github.io/modeltime.ensemble/
        - text: 'Modeltime Resample (Backtesting)'
          href: https://business-science.github.io/modeltime.resample/
        - text: "---"
        - text: 'Scale'
        - text: 'Modeltime H2O (AutoML)'
          href: https://business-science.github.io/modeltime.h2o/
        - text: 'Modeltime GluonTS (Deep Learning)'
          href: https://business-science.github.io/modeltime.gluonts/
    - icon: fas fa-graduation-cap
      text: "Learn"
      href: https://university.business-science.io/p/ds4b-203-r-high-performance-time-series-forecasting/

  right:
    - icon: fab fa-github
      href: https://github.com/business-science/modeltime.h2o

reference:
  - title: H2O Algorithm Integrations
    desc: The main algorithms that have been integrated with modeltime.
    contents:
    - automl_reg
  - title: Saving and Loading H2O Models
    contents:
    - save_h2o_model
  - title: H2O AutoML Management
    description: These functions help you handle switching models that are in your AutoML Leaderboard
    contents:
    - automl_leaderboard

repo:
  url:
    home: https://github.com/business-science/modeltime.h2o
    source: https://github.com/business-science/modeltime.h2o/blob/master/
    issue: https://github.com/business-science/modeltime.h2o/issues/