summary.fast_logistic_regression

Returns the summary table a la glm

Provides very fast logistic regression with coefficient inferences plus other useful methods such as a forward stepwise model generator (see the benchmarks by visiting the github page at the URL below). The inputs are flexible enough to accomodate GPU computations. The coefficient estimation employs the fastLR() method in the 'RcppNumerical' package by Yixuan Qiu et al. This package allows their work to be more useful to a wider community that consumes inference.

Adam Kapelner

fastLogisticRegressionWrap

Fast Logistic Regression Wrapper

Beau Walker

Gabriel Mayer

summary.fast_logistic_regression function

<dl><dt>object</dt>
<dd>The object built using the <code>fast_logistic_regression</code> or <code>fast_logistic_regression_stepwise</code> wrapper functions</dd>
<dt>alpha_order</dt>
<dd>Should the coefficients be ordered in alphabetical order? Default is <code>TRUE</code>.</dd>
<dt>...</dt>
<dd>Other arguments to be passed to <code>summary</code>.</dd></dl>

Arguments

FastLR Wrapper Summary — summary.fast_logistic_regression

<dl>

<dt>object</dt>
<dd>The object built using the <code>fast_logistic_regression</code> or <code>fast_logistic_regression_stepwise</code> wrapper functions</dd>


<dt>alpha_order</dt>
<dd>Should the coefficients be ordered in alphabetical order? Default is <code>TRUE</code>.</dd>


<dt>...</dt>
<dd>Other arguments to be passed to <code>summary</code>.</dd>

</dl>

summary.fast_logistic_regression: FastLR Wrapper Summary

Description

Usage

Value

Arguments

Examples