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llama (version 0.7.1)

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

317

Version

0.7.1

License

BSD_3_clause + file LICENSE

Maintainer

Lars Kotthoff

Last Published

August 13th, 2014

Functions in llama (0.7.1)

featureFilter

Feature filtering
normalize

Normalize features
classify

Classification model
analysis

Analysis functions
cvFolds

Cross-validation folds
imputeCensored

Impute censored values
successes

Success
misclassificationPenalties

Misclassification penalty
regressionPairs

Regression model for pairs of algorithms
misc

Convenience functions
classifyPairs

Classification model for pairs of algorithms
parscores

Penalized average runtime score
cluster

Cluster model
trainTest

Train / test split
llama-package

Leveraging Learning to Automatically Manage Algorithms
regression

Regression model
input

Read data
satsolvers

Example data for Leveraging Learning to Automatically Manage Algorithms