get_features: Calculate 59 features from Talagala, Hyndman, Athanaspoulos...
In Richard759/fETSmcs: Feature-based ETS model component selection (fETSmcs)
View source: R/feature_extraction.R
get_features R Documentation
Calculate 59 features from Talagala, Hyndman, Athanaspoulos (2018) and
Lubba et al. (2019), without features associated with ETS model.
and add them to the dataset.
Output is a features frame.
Description
Calculate 59 features from Talagala, Hyndman, Athanaspoulos (2018) and
Lubba et al. (2019), without features associated with ETS model.
and add them to the dataset.
Output is a features frame.
Usage
get_features(dataset, n.cores = 1)
Arguments
dataset
A list the elements having a ts object with the
name x
n.cores
The number of cores to be used. n.cores > 1 means
parallel processing.
Examples
features <- get_features(Mcomp::M3[c(1:3)], n.cores=1)
features
Richard759/fETSmcs documentation built on Oct. 30, 2022, 10:23 a.m.
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View source: R/feature_extraction.R
| get_features | R Documentation |
Calculate 59 features from Talagala, Hyndman, Athanaspoulos (2018) and
Lubba et al. (2019), without features associated with ETS model.
and add them to the dataset.
Output is a features frame.
Description
Calculate 59 features from Talagala, Hyndman, Athanaspoulos (2018) and
Lubba et al. (2019), without features associated with ETS model.
and add them to the dataset.
Output is a features frame.
Usage
get_features(dataset, n.cores = 1)
Arguments
dataset |
A list the elements having a |
n.cores |
The number of cores to be used. |
Examples
features <- get_features(Mcomp::M3[c(1:3)], n.cores=1) features
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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