R: Learned Pattern Similarity and Representation for Time Series

# Learned Pattern Similarity and Representation for Time Series

## Documentation for package ‘LPStimeSeries’ version 1.1-0

- DESCRIPTION file.
- Package NEWS.

## Help Pages

computeSimilarity | Compute similarity between time series based on learned patterns
discriminativePatterns | Find and Visualize the Most Class-Discriminative Patterns
getTreeInfo | Extract a single tree from the ensemble.
GunPoint | The Gun-Point Data
learnPattern | Learn Local Auto-Patterns for Time Series Representation and Similarity
learnPattern.default | Learn Local Auto-Patterns for Time Series Representation and Similarity
LPSNews | Show the NEWS file
plot.learnPattern | Plot method for learnPattern objects
plotMDS | Multi-dimensional Scaling Plot of Learned Pattern Similarity
predict.learnPattern | predict method for 'learnPattern' objects
print.learnPattern | Learn Local Auto-Patterns for Time Series Representation and Similarity
tunelearnPattern | Tune Parameters of LPS for Time Series Classification
visualizePattern | Plot of the patterns learned by the ensemble of the regression trees