kFoldMaskTensor

The output multiple mask tensors can be immediately specified as the argument M for NTF() or NTD().

methods

Some functions for performing non-negative matrix factorization, non-negative CANDECOMP/PARAFAC (CP) decomposition, non-negative Tucker decomposition, and generating toy model data. See Andrzej Cichock et al (2009) and the reference section of GitHub README.md <https://github.com/rikenbit/nnTensor>, for details of the methods.

Koki Tsuyuzaki

nnTensor

Non-Negative Tensor Decomposition

Itoshi Nikaido

kFoldMaskTensor function

<dl> <dt>X</dt>
<dd>An rTensor object.</dd> <dt>k</dt>
<dd>Number of split for k-fold cross validation (Default: 3).</dd> <dt>seeds</dt>
<dd>Random seed to use for set.seed() (Default: 123).</dd> <dt>sym</dt>
<dd>Data will be dropped symmetrically (available only when matrix is specified, Default: FALSE).</dd></dl>

Arguments

Author

Mask tensors generator to perform k-fold cross validation — kFoldMaskTensor

<dl>

 <dt>X</dt>
<dd>An rTensor object.</dd>

 <dt>k</dt>
<dd>Number of split for k-fold cross validation (Default: 3).</dd>

 <dt>seeds</dt>
<dd>Random seed to use for set.seed() (Default: 123).</dd>

 <dt>sym</dt>
<dd>Data will be dropped symmetrically (available only when matrix is specified, Default: FALSE).</dd>

</dl>

kFoldMaskTensor: Mask tensors generator to perform k-fold cross validation

Description

Usage

Arguments

Author

Examples