calc_subset_methods: Calculate the theoretical error for subsets of the pool of...
In robjhyndman/M4metalearning: Metalearning Tools For Time Series Forecasting
Description
Usage
Arguments
Value
View source: R/subset_methods.R
Description
Calculate the theoretical error for subsets of the pool of methods
Calculates the error for each possible subset of method in the processed dataset
Usage
1
calc_subset_methods(dataset)
Arguments
dataset
A list of time series, with each element having at least
the entry errors, a vector with the errors produced by
the methods in the pool
Value
A list of list, the first dimension is the size of of subset
and the second the results of each subset,
having two entries: iset the indices of the subset in the
errors vector and error, the minimum error produced
by that subset.
robjhyndman/M4metalearning documentation built on May 21, 2019, 12:22 p.m.
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Description Usage Arguments Value
View source: R/subset_methods.R
Description
Calculate the theoretical error for subsets of the pool of methods Calculates the error for each possible subset of method in the processed dataset
Usage
1 | calc_subset_methods(dataset)
|
Arguments
dataset |
A list of time series, with each element having at least
the entry |
Value
A list of list, the first dimension is the size of of subset
and the second the results of each subset,
having two entries: iset the indices of the subset in the
errors vector and error, the minimum error produced
by that subset.
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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