make_ts_splits

Makes fast train/test split indicies for time series.

internal

The time series forecasting framework for use with the 'tidymodels' ecosystem.
Models include ARIMA, Exponential Smoothing, and additional time series models
from the 'forecast' and 'prophet' packages. Refer to "Forecasting Principles & Practice, Second edition"
(<https://otexts.com/fpp2/>).
Refer to "Prophet: forecasting at scale"
(<https://research.facebook.com/blog/2017/02/prophet-forecasting-at-scale/>.).

Matt Dancho

modeltime

The Tidymodels Extension for Time Series Modeling

Business Science 

make_ts_splits function

<dl><dt>.data</dt>
<dd>A data frame containing ordered time seried data (ascending)</dd>
<dt>.length_test</dt>
<dd>The number of rows to include in the test set</dd>
<dt>.length_train</dt>
<dd>Optional. The number of rows to include in the training set.
If NULL, returns all remaining row indicies.</dd></dl>

Arguments

Generate a Time Series Train/Test Split Indicies — make_ts_splits

<dl>

<dt>.data</dt>
<dd>A data frame containing ordered time seried data (ascending)</dd>


<dt>.length_test</dt>
<dd>The number of rows to include in the test set</dd>


<dt>.length_train</dt>
<dd>Optional. The number of rows to include in the training set.
If NULL, returns all remaining row indicies.</dd>

</dl>

make_ts_splits: Generate a Time Series Train/Test Split Indicies

Description

Usage

Value

Arguments