MWCAResult-class

The result object genarated by MWCA function.

For single tensor data, any matrix factorization method can be specified the matricised tensor in each dimension by Multi-way Component Analysis (MWCA). An originally extended MWCA is also implemented to specify and decompose multiple matrices and tensors simultaneously (CoupledMWCA). See the reference section of GitHub README.md <https://github.com/rikenbit/mwTensor>, for details of the methods.

Koki Tsuyuzaki

mwTensor

Multi-Way Component Analysis

MWCAResult-class function

<dl>
 <dt>algorithms:</dt>
<dd>algorithm of MWCAParams.</dd> <dt>dims:</dt>
<dd>dims of MWCAParams.</dd> <dt>transpose:</dt>
<dd>transpose of MWCAParams.</dd> <dt>viz:</dt>
<dd>viz of MWCAParams.</dd> <dt>figdir:</dt>
<dd>figdir of MWCAParams.</dd> <dt>factors:</dt>
<dd>The factor matrices of MWCA.</dd> <dt>core:</dt>
<dd>The core tensor of MWCA.</dd> <dt>rec_error:</dt>
<dd>The reconstructed error.</dd> <dt>train_error:</dt>
<dd>Training Error. train_error + test_error = rec_error.</dd> <dt>test_error:</dt>
<dd>Test Error. train_error + test_error = rec_error.</dd> 
</dl>

Slots

Class "MWCAResult" — MWCAResult-class

<dl>
 <dt>algorithms:</dt>
<dd>algorithm of MWCAParams.</dd>

 <dt>dims:</dt>
<dd>dims of MWCAParams.</dd>

 <dt>transpose:</dt>
<dd>transpose of MWCAParams.</dd>

 <dt>viz:</dt>
<dd>viz of MWCAParams.</dd>

 <dt>figdir:</dt>
<dd>figdir of MWCAParams.</dd>

 <dt>factors:</dt>
<dd>The factor matrices of MWCA.</dd>

 <dt>core:</dt>
<dd>The core tensor of MWCA.</dd>

 <dt>rec_error:</dt>
<dd>The reconstructed error.</dd>

 <dt>train_error:</dt>
<dd>Training Error. train_error + test_error = rec_error.</dd>

 <dt>test_error:</dt>
<dd>Test Error. train_error + test_error = rec_error.</dd>

 
</dl>

MWCAResult-class: Class "MWCAResult"

Description

Arguments

Slots

See Also