scorecard_pmml

<code>scorecard_pmml</code> converts scorecard into PMML format.

The `scorecard` package makes the development of credit risk scorecard
easier and efficient by providing functions for some common tasks,
such as data partition, variable selection, woe binning, scorecard scaling,
performance evaluation and report generation. These functions can also used
in the development of machine learning models.
The references including:
1. Refaat, M. (2011, ISBN: 9781447511199). Credit Risk Scorecard:
Development and Implementation Using SAS.
2. Siddiqi, N. (2006, ISBN: 9780471754510). Credit risk scorecards.
Developing and Implementing Intelligent Credit Scoring.

Shichen Xie

scorecard

Credit Risk Scorecard

scorecard_pmml function

<dl><dt>card</dt>
<dd>A data frame or a list of data frames. It's a scorecard object generated from the function <code>scorecard</code>.</dd>
<dt>save_name</dt>
<dd>A string. The file name to save scorecard. Defaults to None.</dd>
<dt>model_name</dt>
<dd>A name to be given to the PMML model.</dd>
<dt>model_version</dt>
<dd>A string specifying the model version.</dd>
<dt>description</dt>
<dd>A descriptive text for the Header element of the PMML.</dd>
<dt>copyright</dt>
<dd>The copyright notice for the model.</dd></dl>

Arguments

Scorecard to PMML — scorecard_pmml

<dl>

<dt>card</dt>
<dd>A data frame or a list of data frames. It's a scorecard object generated from the function <code>scorecard</code>.</dd>


<dt>save_name</dt>
<dd>A string. The file name to save scorecard. Defaults to None.</dd>


<dt>model_name</dt>
<dd>A name to be given to the PMML model.</dd>


<dt>model_version</dt>
<dd>A string specifying the model version.</dd>


<dt>description</dt>
<dd>A descriptive text for the Header element of the PMML.</dd>


<dt>copyright</dt>
<dd>The copyright notice for the model.</dd>

</dl>

scorecard_pmml: Scorecard to PMML

Description

Usage

Arguments

Examples