error_cluster: Forecast error per cluster
In luukvdmeer/dockless: Spatio-Temporal Forecasts for Bike Availability in Dockless Bike Sharing Systems
Description
Usage
Arguments
Value
Description
Calculates either the root mean squared error or the mean absolute
error, per cluster.
Usage
1
error_cluster(x, clusters, type, return)
Arguments
x
object of class dockless_fcc.
clusters
vector specifying to which cluster each test point belongs.
type
one of 'RMSE' or 'MAE'.
return
one of 'average', 'min' or 'max'. If 'average',
the average error per cluster will be returned. If 'min', this will be
the minimum error, and if 'max', this will be the maximum error.
Value
Returns a vector of numeric values.
luukvdmeer/dockless documentation built on May 10, 2019, 1:24 p.m.
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.
Description Usage Arguments Value
Description
Calculates either the root mean squared error or the mean absolute error, per cluster.
Usage
1 | error_cluster(x, clusters, type, return)
|
Arguments
x |
object of class |
clusters |
vector specifying to which cluster each test point belongs. |
type |
one of 'RMSE' or 'MAE'. |
return |
one of 'average', 'min' or 'max'. If 'average', the average error per cluster will be returned. If 'min', this will be the minimum error, and if 'max', this will be the maximum error. |
Value
Returns a vector of numeric values.
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.