May 2018
Beginner to intermediate
364 pages
7h 43m
English
Content preview from Hands-On Data Science with Anaconda
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Packages for optimization in R
There are many R packages available for various types of optimization, such as optimization, MlBayesOpt, rgenoud, colf, and mize. The following table offers a partial list:
|
#
|
Name
|
Description
|
|
1 |
Time Series Clustering Along with Optimizations for the Dynamic Time Warping Distance |
|
|
2 |
CVXR |
Disciplined Convex Optimization |
|
3 |
IROmiss |
Imputation Regularized Optimization Algorithm |
|
4 |
subplex |
Unconstrained Optimization using the Subplex Algorithm |
|
5 |
GPareto |
Gaussian Processes for Pareto Front Estimation and Optimization |
|
6 |
OOR |
Optimistic Optimization in R |
|
7 |
ROI |
R Optimization Infrastructure |
|
8 |
lbreg |
Log-Binomial Regression with Constrained Optimization ... |
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