predictCMF {CMF} | R Documentation |

## Predict with CMF

### Description

Code for predicting missing elements with an existing CMF model.
The predictions are made for all of the elements specified in the list of
input matrices `X`

. The function also returns the root mean square error
(RMSE) between the predicted outputs and the values provided in `X`

.

### Usage

```
predictCMF(X, model)
```

### Arguments

`X` |
A list of sparse matrices specifying the indices for which to
make the predictions.
These matrices must correspond to the structure used for |

`model` |
A list of model parameter values provided by |

### Details

Note that `X`

needs to be provided as a set of triplets instead of as
a regular matrix. See `matrix_to_triplets()`

.

### Value

A list of

`out` |
A list of matrices corresponding to predictions for each
matrix in |

`error` |
A vector containing the root-mean-square error for each matrix separately. |

### Author(s)

Arto Klami and Lauri VĂ¤re

### Examples

```
# See CMF-package for an example.
```

*CMF*version 1.0.3 Index]