set_ps_flags

Generate flags if propensity scores should be applied to intermediate results
or summarised results.

Perform evaluation of automatic subject
indexing methods. The main focus of the package is to enable efficient
computation of set retrieval and ranked retrieval metrics across multiple
dimensions of a dataset, e.g. document strata or subsets of the label set.
The package also provides the possibility of computing bootstrap confidence
intervals for all major metrics, with seamless integration of parallel
computation and propensity scored variants of standard metrics.

Maximilian Kähler

casimir

Comparing Automated Subject Indexing Methods in R

Markus Schumacher

Deutsche Nationalbibliothek 

set_ps_flags function

<dl><dt>mode</dt>
<dd>One of the following aggregation modes: <code>"doc-avg",
"subj-avg", "micro"</code>.</dd>
<dt>propensity_scored</dt>
<dd>Logical, whether to use propensity scores as
weights.</dd></dl>

Arguments

Set flags for propensity scores — set_ps_flags

<dl>

<dt>mode</dt>
<dd>One of the following aggregation modes: <code>"doc-avg",
"subj-avg", "micro"</code>.</dd>


<dt>propensity_scored</dt>
<dd>Logical, whether to use propensity scores as
weights.</dd>

</dl>

set_ps_flags: Set flags for propensity scores

Description

Usage

Value

Arguments