zeroOneScale

<p>Scales a vector to be between 0 and 1 without supplied bounds.</p>

internal

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

zeroOneScale: ZeroOneScale

Description

Usage

Arguments

Value