PEMS_SF_2: PEMS_SF_2
In mlmts: Machine Learning Algorithms for Multivariate Time Series
PEMS_SF_2 R Documentation
PEMS_SF_2
Description
Multivariate time series (MTS) indicating occupancy rate of different car lanes.
Usage
data(PEMS_SF_2)
Format
A list with two elements, which are:
dataA list with 220 MTS.
classesA numeric vector indicating the corresponding classes associated with the elements in data.
Details
Each element in data is a matrix formed by 144 rows (time points) indicating minutes and 3 columns (variables) indicating sensors.
The last 220 elements
of the whole dataset are stored here. The last 173 elements of this dataset pertain to the test set. The numeric vector classes is formed
by integers from 1 to 7, indicating that there are 7 different classes in the database. Each class is associated with a different
day of the week. For more information, see \insertCitebagnall2018uea;textualmlmts.
Run "install.packages("ueadata8", repos="https://anloor7.github.io/drat")"
to access this dataset and use the syntax "ueadata8::PEMS_SF_2".
References
\insertRefbagnall2018ueamlmts
\insertRefruiz2021greatmlmts
\insertRefbagnallwebmlmts
mlmts documentation built on Sept. 11, 2024, 6:41 p.m.
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| PEMS_SF_2 | R Documentation |
PEMS_SF_2
Description
Multivariate time series (MTS) indicating occupancy rate of different car lanes.
Usage
data(PEMS_SF_2)
Format
A list with two elements, which are:
dataA list with 220 MTS.
classesA numeric vector indicating the corresponding classes associated with the elements in
data.
Details
Each element in data is a matrix formed by 144 rows (time points) indicating minutes and 3 columns (variables) indicating sensors.
The last 220 elements
of the whole dataset are stored here. The last 173 elements of this dataset pertain to the test set. The numeric vector classes is formed
by integers from 1 to 7, indicating that there are 7 different classes in the database. Each class is associated with a different
day of the week. For more information, see \insertCitebagnall2018uea;textualmlmts.
Run "install.packages("ueadata8", repos="https://anloor7.github.io/drat")"
to access this dataset and use the syntax "ueadata8::PEMS_SF_2".
References
\insertRefbagnall2018ueamlmts
\insertRefruiz2021greatmlmts
\insertRefbagnallwebmlmts
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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