vaeac_check_save_parameters

Function that gives a warning about disk usage

internal

Complex machine learning models are often hard to interpret. However, in
many situations it is crucial to understand and explain why a model made a specific
prediction. Shapley values is the only method for such prediction explanation framework
with a solid theoretical foundation. Previously known methods for estimating the Shapley
values do, however, assume feature independence. This package implements methods which accounts for any feature
dependence, and thereby produces more accurate estimates of the true Shapley values.
An accompanying 'Python' wrapper ('shaprpy') is available through the GitHub repository.

Martin Jullum

shapr

Prediction Explanation with Dependence-Aware Shapley Values

Lars Henry Berge Olsen

Annabelle Redelmeier

Jon Lachmann

Nikolai Sellereite

Anders Løland

Jens Christian Wahl

Camilla Lingjærde

Norsk Regnesentral 

vaeac_check_save_parameters function

<dl><dt>save_data</dt>
<dd>Logical (default is <code>FALSE</code>). If <code>TRUE</code>, then the data is stored together with
the model. Useful if one are to continue to train the model later using <code>vaeac_train_model_continue()</code>.</dd>
<dt>epochs</dt>
<dd>Positive integer (default is <code>100</code>). The number of epochs to train the final vaeac model.
This includes <code>epochs_initiation_phase</code>, where the default is <code>2</code>.</dd>
<dt>save_every_nth_epoch</dt>
<dd>Positive integer (default is <code>NULL</code>). If provided, then the vaeac model after
every <code>save_every_nth_epoch</code>th epoch will be saved.</dd>
<dt>x_train_size</dt>
<dd>The object size of the <code>x_train</code> object.</dd></dl>

Arguments

Author

Function that gives a warning about disk usage — vaeac_check_save_parameters

<dl>

<dt>save_data</dt>
<dd>Logical (default is <code>FALSE</code>). If <code>TRUE</code>, then the data is stored together with
the model. Useful if one are to continue to train the model later using <code>vaeac_train_model_continue()</code>.</dd>


<dt>epochs</dt>
<dd>Positive integer (default is <code>100</code>). The number of epochs to train the final vaeac model.
This includes <code>epochs_initiation_phase</code>, where the default is <code>2</code>.</dd>


<dt>save_every_nth_epoch</dt>
<dd>Positive integer (default is <code>NULL</code>). If provided, then the vaeac model after
every <code>save_every_nth_epoch</code>th epoch will be saved.</dd>


<dt>x_train_size</dt>
<dd>The object size of the <code>x_train</code> object.</dd>

</dl>

Function that gives a warning about disk usage

vaeac_check_save_parameters: Function that gives a warning about disk usage

Description

Usage

Value

Arguments

Author