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llama (version 0.6)

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

0.6

License

BSD_3_clause + file LICENSE

Maintainer

Lars Kotthoff

Last Published

April 29th, 2014

Functions in llama (0.6)

input

Read data
misc

Convenience functions
classifyPairs

Classification model for pairs of algorithms
cluster

Cluster model
regression

Regression model
trainTest

Train / test split
satsolvers

Example data for Leveraging Learning to Automatically Manage Algorithms
llama-package

Leveraging Learning to Automatically Manage Algorithms
cvFolds

Cross-validation folds
classify

Classification model
misclassificationPenalties

Misclassification penalty
normalize

Normalize features
imputeCensored

Impute censored values
featureFilter

Feature filtering
analysis

Analysis functions
parscores

Penalized average runtime score
successes

Success