## models.k_fold()


`k`-fold splits of [n](distributions.Binomial.md#prospicio.distributions.Binomial.n) rows, shuffled with [seed](aggregate.EventSet.md#prospicio.aggregate.EventSet.seed).


Usage


``` python
models.k_fold(
    n,
    k,
    seed,
)
```


## Parameters


`n: int`  

`k: int`  

`seed: int`  


## Returns


`list of (list of int, list of int)`  
`(train, test)` row indices per fold.