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llama (version 0.10.1)

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

460

Version

0.10.1

License

BSD_3_clause + file LICENSE

Maintainer

Lars Kotthoff

Last Published

March 16th, 2021

Functions in llama (0.10.1)

classify

Classification model
classifyPairs

Classification model for pairs of algorithms
helpers

Helpers
imputeCensored

Impute censored values
analysis

Analysis functions
bsFolds

Bootstrapping folds
input

Read data
llama-package

Leveraging Learning to Automatically Manage Algorithms
parscores

Penalized average runtime score
plot

Plot convenience functions to visualise selectors
regression

Regression model
successes

Success
normalize

Normalize features
regressionPairs

Regression model for pairs of algorithms
satsolvers

Example data for Leveraging Learning to Automatically Manage Algorithms
cvFolds

Cross-validation folds
cluster

Cluster model
misc

Convenience functions
trainTest

Train / test split
tune

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

Misclassification penalty