DLdata | R Documentation |

R command to setup the training and forecasting data for deep learning.

DLdata(x, forerate = 0.2, locY = 1, lag = 1)

`x` |
T by k data matrix: T data points in rows and k time series in columns. |

`forerate` |
Fraction of sample size to form the forecasting (or testing) sample. |

`locY` |
Locator for the dependent variable. |

`lag` |
Number of lags to be used to form predictors. |

A list containing:

Xtrain - Standardized predictors matrix.

Ytrain - Dependent variable in training sample.

Xtest - Predictor in testing sample, standardized according to X_train.

Ytest - Dependent variable in the testing sample.

nfore - Number of forecasts.

x <- matrix(rnorm(7000), nrow=700, ncol=100) m1 <- DLdata(x, forerate=c(200/nrow(x)), lag=6, locY=6)

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.