Description Usage Arguments Details Value References See Also Examples
The goal of this function is to compute all fundamental algorithms on the provided time series data. See details for more information.
1 2 3 4 5 6 7 8 |
ts |
a |
windows |
an |
query |
a |
sample_pct |
a |
threshold |
a |
n_jobs |
an |
For now the following is computed:
Matrix Profile - exact or approximate based on sample_pct
given that a single windows
is provided. By default
is the exact algorithm;
Top 3 Motifs;
Top 3 Discords;
Plot Matrix Profile, Motifs and Discords.
When windows
is not provided or more than a single window is provided,
the Pan-Matrix Profile is computed:
Compute the upper bound when a threshold
is provided (it is, by default);
Compute Pan-Matrix Profile for all windows
provided, below the upper bound, or a default range when no windows
is provided;
Top Motifs;
Top Discords;
Plot Pan-Matrix Profile, motifs and discords.
The appropriate Matrix Profile or Pan-Matrix Profile profile object and also plots the graphics.
Website: http://www.cs.ucr.edu/~eamonn/MatrixProfile.html
Other Main API:
compute()
,
discords()
,
motifs()
,
visualize()
1 2 3 4 5 6 7 | # Matrix Profile
result <- analyze(mp_toy_data$data[, 1], 80)
## Not run:
# Pan Matrix Profile
result <- analyze(mp_toy_data$data[, 1])
## End(Not run)
|
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