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tsmp (version 0.4.15)

fluss_score: FLUSS - Prediction score calculation

Description

FLUSS - Prediction score calculation

Usage

fluss_score(gtruth, extracted, data_size)

Value

Returns the score of predicted semantic transitions compared with the ground truth. Zero is the best, One is the worst.

Arguments

gtruth

an int or vector of int with the ground truth index of segments.

extracted

an int or vector of int with the extracted indexes from fluss_extract().

data_size

an int. Size of original input data.

References

  • Gharghabi S, Ding Y, Yeh C-CM, Kamgar K, Ulanova L, Keogh E. Matrix Profile VIII: Domain Agnostic Online Semantic Segmentation at Superhuman Performance Levels. In: 2017 IEEE International Conference on Data Mining (ICDM). IEEE; 2017. p. 117-26.

Website: https://sites.google.com/site/onlinesemanticsegmentation/

Website: http://www.cs.ucr.edu/~eamonn/MatrixProfile.html

See Also

Other Semantic Segmentations: floss_cac(), floss_extract(), floss(), fluss_cac(), fluss_extract(), fluss()

Examples

Run this code
data <- mp_fluss_data$tilt_abp$data[1:1000]
w <- 10
truth <- c(945, 875)
mp <- tsmp(data, window_size = w, verbose = 0)
mp <- fluss_cac(mp)
mp <- fluss_extract(mp, 2)
score <- fluss_score(truth, mp$fluss, length(data))

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