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llama (version 0.9.2)

Leveraging Learning to Automatically Manage Algorithms

Description

Provides functionality to train and evaluate algorithm selection models for portfolios.

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Version

Install

install.packages('llama')

Monthly Downloads

381

Version

0.9.2

License

BSD_3_clause + file LICENSE

Maintainer

Lars Kotthoff

Last Published

July 11th, 2018

Functions in llama (0.9.2)

satsolvers

Example data for Leveraging Learning to Automatically Manage Algorithms
tune

Tune the hyperparameters of the machine learning algorithm underlying a model
normalize

Normalize features
imputeCensored

Impute censored values
llama-package

Leveraging Learning to Automatically Manage Algorithms
classifyPairs

Classification model for pairs of algorithms
bsFolds

Bootstrapping folds
classify

Classification model
analysis

Analysis functions
input

Read data
cvFolds

Cross-validation folds
cluster

Cluster model
helpers

Helpers
trainTest

Train / test split
misc

Convenience functions
successes

Success
plot

Plot convenience functions to visualise selectors
regressionPairs

Regression model for pairs of algorithms
misclassificationPenalties

Misclassification penalty
parscores

Penalized average runtime score
regression

Regression model