extendts

(To be removed) Extend time series data to given number of timesteps

extendts will be removed in a future release. For more information, see Transition Legacy Neural Network Code to dlnetwork Workflows.

For advice on updating your code, see Version History.

Syntax

extendts(x,ts,v)


Description

extendts(x,ts,v) takes these values,

x	Neural network time series data
ts	Number of timesteps
v	Value

and returns the time series data either extended or truncated to match the specified number of timesteps. If the value v is specified, then extended series are filled in with that value, otherwise they are extended with random values.

Examples

Here, a 20-timestep series is created and then extended to 25 timesteps with the value zero.

x = nndata(5,4,20);
y = extendts(x,25,0)

Version History

Introduced in R2010b

R2026a: extendts will be removed

extendts will be removed in a future release.

To train a neural network with time series data, use one of these options:

• Time Series Modeler app — Interactively design and train neural networks for time series data.

• trainnet — Train neural network. Use this function when you need more flexibility in the network architecture or training algorithm.

For more information, see Transition Legacy Neural Network Code to dlnetwork Workflows.