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automagic_tabs()
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Automatic Generation of Tabs |
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automagic_tabs2()
|
Automatic Generation of Tabs with multiple outputs |
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crimes
|
Buenos Aires crimes data |
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data_avellaneda
|
Vehicle flow through Avellaneda toll in Ciudad Autonoma de Buenos Aires, Argentina. |
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data_crime_clime
|
Corners of the city of Buenos Aires |
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data_longer_crime
|
Corners of the city of Buenos Aires with meteorological and environmental factors |
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emae_series
|
Time series of the monthly estimator of Argentine economic activity, grouped by sector |
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insert_na()
|
Add NA values to a dataframe |
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intercepcion_calles
|
Dataset of the intersection of the main streets and avenues of the city of Buenos Aires, Argentina. |
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modeltime_multibestmodel()
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Gets the best model from a modeltime table |
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modeltime_multifit()
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Fit Multiple Models to Multiple Time Series |
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modeltime_multiforecast()
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Forecasting of multiple models over multiple time series |
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modeltime_multirefit()
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Refit the model or models for multiple time series |
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modeltime_wfs_bestmodel()
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Modeltime best workflow from a set of models |
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modeltime_wfs_fit()
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Modeltime workflowsets fit |
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modeltime_wfs_forecast()
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Modeltime workflow sets forecast |
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modeltime_wfs_heatmap()
|
Modeltime workflowsets heatmap plot |
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modeltime_wfs_multibestmodel()
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Get the best workflow for each time series |
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modeltime_wfs_multifit()
|
Fit a workflow_set object over multiple time series |
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modeltime_wfs_multiforecast()
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Forecast of a workflow set on multiple time series |
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modeltime_wfs_multirefit()
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Refit one or more trained workflows to new data |
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modeltime_wfs_rank()
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Modeltime workflow sets ranking based on a metric |
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modeltime_wfs_refit()
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Modeltime workflow sets refit |
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multieval()
|
Evaluation of multiple metrics and predictions |
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sliding_window()
|
Mobile sliding window transformation |
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table_time
|
Fitted models for the EMAE indicator |