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fixes #37: Baseline Algorithms, Documentation
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mdancho84 committed Mar 11, 2021
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7 changes: 7 additions & 0 deletions NEWS.md
@@ -1,5 +1,12 @@
# modeltime 0.4.1.9000

### New Algorithms

Baseline algorithms (#5, #37) have been created for comparing high-performance methods with simple forecasting methods.

- `window_reg`: Window-based methods such as mean, median, and even more complex seasonal models based on a forecasting window.
- `naive_reg`: NAIVE and Seasonal NAIVE (SNAIVE) Regression Models

### Modeltime Residual Tests

A new function is added `modeltime_residuals_test()` (#62, #68). Tests are implemented:
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31 changes: 16 additions & 15 deletions _pkgdown.yml
Expand Up @@ -50,20 +50,9 @@ reference:
contents:
- starts_with("plot_modeltime")
- starts_with("table_modeltime")
- subtitle: Modeltime Workflow Helpers
contents:
- combine_modeltime_tables
- add_modeltime_model
- update_modeltime_model
- update_modeltime_description
- pluck_modeltime_model
- title: Yardstick Metrics
contents:
- default_forecast_accuracy_metric_set
- summarize_accuracy_metrics
- metric_tweak
- title: Algorithms
desc: The `parsnip`-adjacent algorithms that implement time series models.
- subtitle: Core Forecasting Methods
contents:
- prophet_reg
- prophet_boost
Expand All @@ -72,11 +61,23 @@ reference:
- exp_smoothing
- seasonal_reg
- nnetar_reg
- title: Baseline Algorithms
desc: These algorithms are simple baselines that can be used to gauge model performance.
- subtitle: Baseline Algorithms (Simple Methods)
contents:
- window_reg
- naive_reg
- title: Parameters
- title: Modeltime Workflow Helpers
contents:
- combine_modeltime_tables
- add_modeltime_model
- update_modeltime_model
- update_modeltime_description
- pluck_modeltime_model
- title: Accuracy Metrics (Yardstick)
contents:
- default_forecast_accuracy_metric_set
- summarize_accuracy_metrics
- metric_tweak
- title: Parameters (Dials)
desc: The `dials` parameter functions that support hyperparameter tuning with `tune`.
- subtitle: General Time Series
contents:
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84 changes: 42 additions & 42 deletions docs/articles/getting-started-with-modeltime.html

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