The 'fastai' <https://docs.fast.ai/index.html> library
simplifies training fast and accurate neural networks
using modern best practices. It is based on research
in to deep learning best practices undertaken
at 'fast.ai', including 'out of the box' support
for vision, text, tabular, audio, time series, and
collaborative filtering models.

Interface to 'fastai'

package-ubuntu-20.04-r-4.0.5#cran#fastai-2.0.7

Bias for item or user (based on 'is_item') for all in 'arr'

get_bias(object, arr, is_item = TRUE, convert = TRUE)

<table summary="R argblock">
<tr valign="top">
<td><code>object</code></td>
<td>
extract bias
</td>
</tr>
<tr valign="top">
<td><code>arr</code></td>
<td>
R data frame
</td>
</tr>
<tr valign="top">
<td><code>is_item</code></td>
<td>
logical, is item
</td>
</tr>
<tr valign="top">
<td><code>convert</code></td>
<td>
to R matrix
</td>
</tr>
</table>

## Not run: 

movie_bias = learn %>% get_bias(top_movies, is_item = TRUE)


## End(Not run)

package-ubuntu-20.04-r-4.0.5#cran#fastai-2.0.7#docs#get_bias

get_bias

Description

Usage

Arguments

Value

Examples

fastai

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`object`	extract bias
`arr`	R data frame
`is_item`	logical, is item
`convert`	to R matrix