initAFFMean: Initialisation of AFF mean
In ffstream: Forgetting Factor Methods for Change Detection in Streaming Data
initAFFMean R Documentation
Initialisation of AFF mean
Description
This function makes it simple to initalise an AFF object.
Usage
initAFFMean(eta = 0.1)
Arguments
eta
The value of the step size in the gradient descent.
Default is eta=0.01.
Value
An AFF object.
Examples
library(Rcpp)
aff1 <- initAFFMean() # initialises with eta=0.01
aff2 <- initAFFMean(0.1) # initialises with eta=0.1
ffstream documentation built on May 31, 2023, 7:53 p.m.
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| initAFFMean | R Documentation |
Initialisation of AFF mean
Description
This function makes it simple to initalise an AFF object.
Usage
initAFFMean(eta = 0.1)
Arguments
eta |
The value of the step size in the gradient descent. Default is eta=0.01. |
Value
An AFF object.
Examples
library(Rcpp)
aff1 <- initAFFMean() # initialises with eta=0.01
aff2 <- initAFFMean(0.1) # initialises with eta=0.1
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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