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llama (version 0.9.1)

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

0.9.1

License

BSD_3_clause + file LICENSE

Maintainer

Lars Kotthoff

Last Published

December 5th, 2015

Functions in llama (0.9.1)

imputeCensored

Impute censored values
helpers

Helpers
satsolvers

Example data for Leveraging Learning to Automatically Manage Algorithms
analysis

Analysis functions
cluster

Cluster model
plot

Plot convenience functions to visualise selectors
llama-package

Leveraging Learning to Automatically Manage Algorithms
successes

Success
regression

Regression model
parscores

Penalized average runtime score
regressionPairs

Regression model for pairs of algorithms
input

Read data
classify

Classification model
classifyPairs

Classification model for pairs of algorithms
misclassificationPenalties

Misclassification penalty
bsFolds

Bootstrapping folds
normalize

Normalize features
tune

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

Train / test split
cvFolds

Cross-validation folds
misc

Convenience functions