print.bayesOpt

Print a <code>bayesOpt</code> object

Fast, flexible framework for implementing Bayesian optimization of model
hyperparameters according to the methods described in Snoek et al. <arXiv:1206.2944>.
The package allows the user to run scoring function in parallel, save intermediary
results, and tweak other aspects of the process to fully utilize the computing resources
available to the user.

Samuel Wilson

ParBayesianOptimization

Parallel Bayesian Optimization of Hyperparameters

print.bayesOpt function

<dl><dt>x</dt>
<dd>Object of class <code>bayesOpt</code></dd>
<dt>...</dt>
<dd>required to use S3 method</dd></dl>

Arguments

Print a bayesOpt object — print.bayesOpt

<dl>

<dt>x</dt>
<dd>Object of class <code>bayesOpt</code></dd>


<dt>...</dt>
<dd>required to use S3 method</dd>

</dl>

print.bayesOpt: Print a `bayesOpt` object

Description

Usage

Value

Arguments