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llama (version 0.7.2)

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

317

Version

0.7.2

License

BSD_3_clause + file LICENSE

Maintainer

Lars Kotthoff

Last Published

September 20th, 2014

Functions in llama (0.7.2)

cvFolds

Cross-validation folds
featureFilter

Feature filtering
analysis

Analysis functions
misclassificationPenalties

Misclassification penalty
imputeCensored

Impute censored values
input

Read data
trainTest

Train / test split
successes

Success
regression

Regression model
normalize

Normalize features
llama-package

Leveraging Learning to Automatically Manage Algorithms
satsolvers

Example data for Leveraging Learning to Automatically Manage Algorithms
regressionPairs

Regression model for pairs of algorithms
classify

Classification model
parscores

Penalized average runtime score
misc

Convenience functions
classifyPairs

Classification model for pairs of algorithms
cluster

Cluster model