e_coeff_landa

Plot the coefficients and selected lambda of a glmnet model.

Perform a supervised data analysis on a database through a 'shiny' graphical interface. It includes methods such as K-Nearest Neighbors, Decision Trees, ADA Boosting, Extreme Gradient Boosting, Random Forest, Neural Networks, Deep Learning, Support Vector Machines and Bayesian Methods.

Oldemar Rodriguez

predictoR

Predictive Data Analysis System

Diego Jiménez

e_coeff_landa function

<dl><dt>model</dt>
<dd>a glmnet model.</dd>
<dt>category</dt>
<dd>a category of the variable to be predicted.</dd>
<dt>sel.lambda</dt>
<dd>the selected lambda.</dd>
<dt>label</dt>
<dd>a character specifying the title to use on selected lambda tooltip.</dd></dl>

Arguments

Joseline Quiros &lt;joseline.quiros@promidat.com&gt;

Author

Coefficients and lambda — e_coeff_landa

<dl>

<dt>model</dt>
<dd>a glmnet model.</dd>


<dt>category</dt>
<dd>a category of the variable to be predicted.</dd>


<dt>sel.lambda</dt>
<dd>the selected lambda.</dd>


<dt>label</dt>
<dd>a character specifying the title to use on selected lambda tooltip.</dd>

</dl>

e_coeff_landa: Coefficients and lambda

Description

Usage

Value

Arguments

Author

Examples