n_training_examples | R Documentation |

It computes the number of training examples that would have a KNN model with the specified parameters.

```
n_training_examples(timeS, h, lags, msas = c("MIMO", "recursive"))
```

`timeS` |
A numeric vector or time series of class |

`h` |
A positive integer. Number of values to forecast. |

`lags` |
An integer vector in increasing order expressing the lags used as autoregressive variables. |

`msas` |
A string indicating the Multiple-Step Ahead Strategy used when more than one value is predicted. It can be "recursive" or "MIMO" (the default). |

An integer.

```
n_training_examples(ts(1:10), h = 2, lags = 1:3, msas = "MIMO")
n_training_examples(ts(1:10), h = 2, lags = 1:3, msas = "recursive")
```

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