split_ts

Split a time series into training and testing sets

Conformal time series forecasting using the caret infrastructure.
It provides access to state-of-the-art machine learning models for forecasting
applications. The hyperparameter of each model is selected based on time
series cross-validation, and forecasting is done recursively.

Resul Akay

caretForecast

Conformal Time Series Forecasting Using State of Art Machine
Learning Algorithms

split_ts function

<dl><dt>y</dt>
<dd>A univariate time series</dd>
<dt>test_size</dt>
<dd>The number of observations to keep in the test set</dd></dl>

Arguments

Author

Split a time series into training and testing sets — split_ts

<dl>

<dt>y</dt>
<dd>A univariate time series</dd>


<dt>test_size</dt>
<dd>The number of observations to keep in the test set</dd>

</dl>

split_ts: Split a time series into training and testing sets

Description

Usage

Value

Arguments

Author

Examples