plot.forecast_esn

Plot point forecasts and forecast intervals, actual values of a 
 trained ESN model. Optionally, test data (out-of-sample) and fitted values
 can be added to the plot.

Provides a lightweight implementation of functions and methods for
fast and fully automatic time series modeling and forecasting using Echo
State Networks (ESNs).

Alexander Häußer

echos

Echo State Networks for Time Series Modeling and Forecasting

plot.forecast_esn function

<dl><dt>x</dt>
<dd>An object of class <code>forecast_esn</code>. The result of a call to <code>forecast_esn()</code>.</dd>
<dt>test</dt>
<dd>Numeric vector. Test data, i.e., out-of-sample actual values.</dd>
<dt>fitted</dt>
<dd>Logical value. If <code>TRUE</code>, fitted values are added.</dd>
<dt>interval</dt>
<dd>Logical value. If <code>TRUE</code>, forecast intervals are added.</dd>
<dt>n_obs</dt>
<dd>Integer value. If <code>NULL</code>, all in-sample values are shown, otherwise only the last <code>n_obs</code>.</dd>
<dt>...</dt>
<dd>Currently not in use.</dd></dl>

Arguments

Plot forecasts of a trained ESN model — plot.forecast_esn

<dl>

<dt>x</dt>
<dd>An object of class <code>forecast_esn</code>. The result of a call to <code>forecast_esn()</code>.</dd>


<dt>test</dt>
<dd>Numeric vector. Test data, i.e., out-of-sample actual values.</dd>


<dt>fitted</dt>
<dd>Logical value. If <code>TRUE</code>, fitted values are added.</dd>


<dt>interval</dt>
<dd>Logical value. If <code>TRUE</code>, forecast intervals are added.</dd>


<dt>n_obs</dt>
<dd>Integer value. If <code>NULL</code>, all in-sample values are shown, otherwise only the last <code>n_obs</code>.</dd>


<dt>...</dt>
<dd>Currently not in use.</dd>

</dl>

plot.forecast_esn: Plot forecasts of a trained ESN model

Description

Usage

Value

Arguments

Examples