Random initialization of the weight vector used during fitting of a QRNN model.

1 | ```
qrnn.initialize(x, y, n.hidden, init.range=c(-0.5, 0.5, -0.5, 0.5))
``` |

`x` |
covariate matrix with number of rows equal to the number of samples and number of columns equal to the number of variables. |

`y` |
response column matrix with number of rows equal to the number of samples. |

`n.hidden` |
number of hidden nodes in the QRNN model. |

`init.range` |
initial weight range for input-hidden and hidden-output weight matrices. |

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.